Spandidos Publications Logo
  • About
    • About Spandidos
    • Aims and Scopes
    • Abstracting and Indexing
    • Editorial Policies
    • Reprints and Permissions
    • Job Opportunities
    • Terms and Conditions
    • Contact
  • Journals
    • All Journals
    • Oncology Letters
      • Oncology Letters
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Oncology
      • International Journal of Oncology
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Molecular and Clinical Oncology
      • Molecular and Clinical Oncology
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Experimental and Therapeutic Medicine
      • Experimental and Therapeutic Medicine
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Molecular Medicine
      • International Journal of Molecular Medicine
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Biomedical Reports
      • Biomedical Reports
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Oncology Reports
      • Oncology Reports
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Molecular Medicine Reports
      • Molecular Medicine Reports
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • World Academy of Sciences Journal
      • World Academy of Sciences Journal
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Functional Nutrition
      • International Journal of Functional Nutrition
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Epigenetics
      • International Journal of Epigenetics
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Medicine International
      • Medicine International
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
  • Articles
  • Information
    • Information for Authors
    • Information for Reviewers
    • Information for Librarians
    • Information for Advertisers
    • Conferences
  • Language Editing
Spandidos Publications Logo
  • About
    • About Spandidos
    • Aims and Scopes
    • Abstracting and Indexing
    • Editorial Policies
    • Reprints and Permissions
    • Job Opportunities
    • Terms and Conditions
    • Contact
  • Journals
    • All Journals
    • Biomedical Reports
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Experimental and Therapeutic Medicine
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Epigenetics
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Functional Nutrition
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Molecular Medicine
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • International Journal of Oncology
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Medicine International
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Molecular and Clinical Oncology
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Molecular Medicine Reports
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Oncology Letters
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • Oncology Reports
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
    • World Academy of Sciences Journal
      • Information for Authors
      • Editorial Policies
      • Editorial Board
      • Aims and Scope
      • Abstracting and Indexing
      • Bibliographic Information
      • Archive
  • Articles
  • Information
    • For Authors
    • For Reviewers
    • For Librarians
    • For Advertisers
    • Conferences
  • Language Editing
Login Register Submit
  • This site uses cookies
  • You can change your cookie settings at any time by following the instructions in our Cookie Policy. To find out more, you may read our Privacy Policy.

    I agree
Search articles by DOI, keyword, author or affiliation
Search
Advanced Search
presentation
Oncology Letters
Join Editorial Board Propose a Special Issue
Print ISSN: 1792-1074 Online ISSN: 1792-1082
Journal Cover
April-2024 Volume 27 Issue 4

Full Size Image

Sign up for eToc alerts
Recommend to Library

Journals

International Journal of Molecular Medicine

International Journal of Molecular Medicine

International Journal of Molecular Medicine is an international journal devoted to molecular mechanisms of human disease.

International Journal of Oncology

International Journal of Oncology

International Journal of Oncology is an international journal devoted to oncology research and cancer treatment.

Molecular Medicine Reports

Molecular Medicine Reports

Covers molecular medicine topics such as pharmacology, pathology, genetics, neuroscience, infectious diseases, molecular cardiology, and molecular surgery.

Oncology Reports

Oncology Reports

Oncology Reports is an international journal devoted to fundamental and applied research in Oncology.

Experimental and Therapeutic Medicine

Experimental and Therapeutic Medicine

Experimental and Therapeutic Medicine is an international journal devoted to laboratory and clinical medicine.

Oncology Letters

Oncology Letters

Oncology Letters is an international journal devoted to Experimental and Clinical Oncology.

Biomedical Reports

Biomedical Reports

Explores a wide range of biological and medical fields, including pharmacology, genetics, microbiology, neuroscience, and molecular cardiology.

Molecular and Clinical Oncology

Molecular and Clinical Oncology

International journal addressing all aspects of oncology research, from tumorigenesis and oncogenes to chemotherapy and metastasis.

World Academy of Sciences Journal

World Academy of Sciences Journal

Multidisciplinary open-access journal spanning biochemistry, genetics, neuroscience, environmental health, and synthetic biology.

International Journal of Functional Nutrition

International Journal of Functional Nutrition

Open-access journal combining biochemistry, pharmacology, immunology, and genetics to advance health through functional nutrition.

International Journal of Epigenetics

International Journal of Epigenetics

Publishes open-access research on using epigenetics to advance understanding and treatment of human disease.

Medicine International

Medicine International

An International Open Access Journal Devoted to General Medicine.

Journal Cover
April-2024 Volume 27 Issue 4

Full Size Image

Sign up for eToc alerts
Recommend to Library

  • Article
  • Citations
    • Cite This Article
    • Download Citation
    • Create Citation Alert
    • Remove Citation Alert
    • Cited By
  • Similar Articles
    • Related Articles (in Spandidos Publications)
    • Similar Articles (Google Scholar)
    • Similar Articles (PubMed)
  • Download PDF
  • Download XML
  • View XML
Review Open Access

Applications of single‑cell omics and spatial transcriptomics technologies in gastric cancer (Review)

  • Authors:
    • Liping Ren
    • Danni Huang
    • Hongjiang Liu
    • Lin Ning
    • Peiling Cai
    • Xiaolong Yu
    • Yang Zhang
    • Nanchao Luo
    • Hao Lin
    • Jinsong Su
    • Yinghui Zhang
  • View Affiliations / Copyright

    Affiliations: School of Healthcare Technology, Chengdu Neusoft University, Chengdu, Sichuan 611844, P.R. China, Department of Radiology, Central South University Xiangya School of Medicine Affiliated Haikou People's Hospital, Haikou, Hainan 570208, P.R. China, School of Computer Science and Technology, Aba Teachers College, Aba, Sichuan 624099, P.R. China, School of Basic Medical Sciences, Chengdu University, Chengdu, Sichuan 610106, P.R. China, Hainan Yazhou Bay Seed Laboratory, Sanya Nanfan Research Institute, Material Science and Engineering Institute of Hainan University, Sanya, Hainan 572025, P.R. China, Innovative Institute of Chinese Medicine and Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 611137, P.R. China, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, P.R. China, Research Institute of Integrated Traditional Chinese Medicine and Western Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 611137, P.R. China
    Copyright: © Ren et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Article Number: 152
    |
    Published online on: February 14, 2024
       https://doi.org/10.3892/ol.2024.14285
  • Expand metrics +
Metrics: Total Views: 0 (Spandidos Publications: | PMC Statistics: )
Metrics: Total PDF Downloads: 0 (Spandidos Publications: | PMC Statistics: )
Cited By (CrossRef): 0 citations Loading Articles...

This article is mentioned in:



Abstract

Gastric cancer (GC) is a prominent contributor to global cancer‑related mortalities, and a deeper understanding of its molecular characteristics and tumor heterogeneity is required. Single‑cell omics and spatial transcriptomics (ST) technologies have revolutionized cancer research by enabling the exploration of cellular heterogeneity and molecular landscapes at the single‑cell level. In the present review, an overview of the advancements in single‑cell omics and ST technologies and their applications in GC research is provided. Firstly, multiple single‑cell omics and ST methods are discussed, highlighting their ability to offer unique insights into gene expression, genetic alterations, epigenomic modifications, protein expression patterns and cellular location in tissues. Furthermore, a summary is provided of key findings from previous research on single‑cell omics and ST methods used in GC, which have provided valuable insights into genetic alterations, tumor diagnosis and prognosis, tumor microenvironment analysis, and treatment response. In summary, the application of single‑cell omics and ST technologies has revealed the levels of cellular heterogeneity and the molecular characteristics of GC, and holds promise for improving diagnostics, personalized treatments and patient outcomes in GC.
View Figures

Figure 1

Figure 2

View References

1 

Machlowska J, Baj J, Sitarz M, Maciejewski R and Sitarz R: Gastric Cancer: Epidemiology, risk factors, classification, genomic characteristics and treatment strategies. Int J Mol Sci. 21:40122020. View Article : Google Scholar : PubMed/NCBI

2 

Wong MCS, Huang J, Chan PSF, Choi P, Lao XQ, Chan SM, Teoh A and Liang P: Global incidence and mortality of gastric cancer, 1980–2018. JAMA Netw Open. 4:e21184572021. View Article : Google Scholar : PubMed/NCBI

3 

Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A and Bray F: Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 71:209–249. 2021. View Article : Google Scholar : PubMed/NCBI

4 

GBD 2017 Stomach Cancer Collaborators, . The global, regional, and national burden of stomach cancer in 195 countries, 1990–2017: A systematic analysis for the Global Burden of Disease study 2017. Lancet Gastroenterol Hepatol. 5:42–54. 2020. View Article : Google Scholar : PubMed/NCBI

5 

Bang YJ, Van Cutsem E, Feyereislova A, Chung HC, Shen L, Sawaki A, Lordick F, Ohtsu A, Omuro Y, Satoh T, et al: Trastuzumab in combination with chemotherapy versus chemotherapy alone for treatment of HER2-positive advanced gastric or gastro-oesophageal junction cancer (ToGA): A phase 3, open-label, randomised controlled trial. Lancet. 376:687–697. 2010. View Article : Google Scholar : PubMed/NCBI

6 

Cunningham D, Starling N, Rao S, Iveson T, Nicolson M, Coxon F, Middleton G, Daniel F, Oates J and Norman AR; Upper Gastrointestinal Clinical Studies Group of the National Cancer Research Institute of the United Kingdom, : Capecitabine and oxaliplatin for advanced esophagogastric cancer. N Engl J Med. 358:36–46. 2008. View Article : Google Scholar : PubMed/NCBI

7 

Koizumi W, Narahara H, Hara T, Takagane A, Akiya T, Takagi M, Miyashita K, Nishizaki T, Kobayashi O, Takiyama W, et al: S-1 plus cisplatin versus S-1 alone for first-line treatment of advanced gastric cancer (SPIRITS trial): A phase III trial. Lancet. Oncol. 9:215–221. 2008.

8 

Wilke H, Muro K, Van Cutsem E, Oh SC, Bodoky G, Shimada Y, Hironaka S, Sugimoto N, Lipatov O, Kim TY, et al: Ramucirumab plus paclitaxel versus placebo plus paclitaxel in patients with previously treated advanced gastric or gastro-oesophageal junction adenocarcinoma (RAINBOW): A double-blind, randomised phase 3 trial. Lancet Oncol. 15:1224–1235. 2014. View Article : Google Scholar : PubMed/NCBI

9 

Salvatori S, Marafini I, Laudisi F, Monteleone G and Stolfi C: Helicobacter pylori and Gastric cancer: Pathogenetic mechanisms. Int J Mol Sci. 24:28952023. View Article : Google Scholar : PubMed/NCBI

10 

Smyth EC, Nilsson M, Grabsch HI, van Grieken NC and Lordick F: Gastric cancer. Lancet. 396:635–648. 2020. View Article : Google Scholar : PubMed/NCBI

11 

Polk DB and Peek RM Jr: Helicobacter pylori: Gastric cancer and beyond. Nat Rev Cancer. 10:403–414. 2010. View Article : Google Scholar : PubMed/NCBI

12 

Van Cutsem E, Sagaert X, Topal B, Haustermans K and Prenen H: Gastric cancer. Lancet. 388:2654–2664. 2016. View Article : Google Scholar : PubMed/NCBI

13 

Onoyama T, Ishikawa S and Isomoto H: Gastric cancer and genomics: Review of literature. J Gastroenterol. 57:505–516. 2022. View Article : Google Scholar : PubMed/NCBI

14 

Li GZ, Doherty GM and Wang J: Surgical management of gastric cancer: A review. JAMA Surg. 157:446–454. 2022. View Article : Google Scholar : PubMed/NCBI

15 

Zhu Z, Shi L, Dong Y, Zhang Y, Yang F, Wei J, Huo M, Li P and Liu X: Effect of crosstalk among conspirators in tumor microenvironment on niche metastasis of gastric cancer. Am J Cancer Res. 12:5375–5402. 2022.PubMed/NCBI

16 

Tang F, Barbacioru C, Wang Y, Nordman E, Lee C, Xu N, Wang X, Bodeau J, Tuch BB, Siddiqui A, et al: mRNA-Seq whole-transcriptome analysis of a single cell. Nat Methods. 6:377–382. 2009. View Article : Google Scholar : PubMed/NCBI

17 

Ou Z, Lin S, Qiu J, Ding W, Ren P, Chen D, Wang J, Tong Y, Wu D, Chen A, et al: Single-nucleus RNA sequencing and spatial transcriptomics reveal the immunological microenvironment of cervical squamous cell carcinoma. Adv Sci (Weinh). 9:e22030402022. View Article : Google Scholar : PubMed/NCBI

18 

Sun D, Guan X, Moran AE, Wu LY, Qian DZ, Schedin P, Dai MS, Danilov AV, Alumkal JJ, Adey AC, et al: Identifying phenotype-associated subpopulations by integrating bulk and single-cell sequencing data. Nat Biotechnol. 40:527–538. 2022. View Article : Google Scholar : PubMed/NCBI

19 

Casado-Pelaez M, Bueno-Costa A and Esteller M: Single cell cancer epigenetics. Trends Cancer. 8:820–838. 2022. View Article : Google Scholar : PubMed/NCBI

20 

Hu W, Zeng H, Shi Y, Zhou C, Huang J, Jia L, Xu S, Feng X, Zeng Y, Xiong T, et al: Single-cell transcriptome and translatome dual-omics reveals potential mechanisms of human oocyte maturation. Nat Commun. 13:51142022. View Article : Google Scholar : PubMed/NCBI

21 

Ye J, Yang C, Xia L, Zhu Y, Liu L, Cao H and Tao Y: Protoplast preparation for algal single-cell omics sequencing. Microorganisms. 11:5382023. View Article : Google Scholar : PubMed/NCBI

22 

Zhang Y, Liu T, Hu X, Wang M, Wang J, Zou B, Tan P, Cui T, Dou Y, Ning L, et al: CellCall: Integrating paired ligand-receptor and transcription factor activities for cell-cell communication. Nucleic Acids Res. 49:8520–8534. 2021. View Article : Google Scholar : PubMed/NCBI

23 

Kashima Y, Sakamoto Y, Kaneko K, Seki M, Suzuki Y and Suzuki A: Single-cell sequencing techniques from individual to multiomics analyses. Exp Mol Med. 52:1419–1427. 2020. View Article : Google Scholar : PubMed/NCBI

24 

Huang Y, Wang J, Zhao Y, Wang H, Liu T, Li Y, Cui T, Li W, Feng Y, Luo J, et al: cncRNAdb: A manually curated resource of experimentally supported RNAs with both protein-coding and noncoding function. Nucleic Acids Res. 49:D65–D70. 2021. View Article : Google Scholar : PubMed/NCBI

25 

Zhang YF, Wang YH, Gu ZF, Pan XR, Li J, Ding H, Zhang Y and Deng KJ: Bitter-RF: A random forest machine model for recognizing bitter peptides. Front Med (Lausanne). 10:10529232023. View Article : Google Scholar : PubMed/NCBI

26 

Tan Z, Kan C, Sun M, Yang F, Wong M, Wang S and Zheng H: Mapping breast cancer microenvironment through single-cell omics. Front Immunol. 13:8688132022. View Article : Google Scholar : PubMed/NCBI

27 

Gao B, Jiang B, Xing W, Xie Z, Luo Z and Zou W: Discovery and application of postnatal nucleus pulposus progenitors essential for intervertebral disc homeostasis and degeneration. Adv Sci (Weinh). 9:e21048882022. View Article : Google Scholar : PubMed/NCBI

28 

Moline DC, Zenner ML, Burr A, Vellky JE, Nonn L and Vander Griend DJ: Single-cell RNA-Seq identifies factors necessary for the regenerative phenotype of prostate luminal epithelial progenitors. Am J Clin Exp Urol. 10:425–439. 2022.PubMed/NCBI

29 

Chen S, An G, Wang H, Wu X, Ping P, Hu L, Chen Y, Fan J, Cheng CY and Sun F: Human obstructive (postvasectomy) and nonobstructive azoospermia-Insights from scRNA-Seq and transcriptome analysis. Genes Dis. 9:766–776. 2022. View Article : Google Scholar : PubMed/NCBI

30 

Tanemoto S, Sujino T, Miyamoto K, Moody J, Yoshimatsu Y, Ando Y, Koya I, Harada Y, Tojo AO, Ono K, et al: Single-cell transcriptomics of human gut T cells identifies cytotoxic CD4+CD8A+ T cells related to mouse CD4 cytotoxic T cells. Front Immunol. 13:9771172022. View Article : Google Scholar : PubMed/NCBI

31 

Ning L, Abagna HB, Jiang Q, Liu S and Huang J: Development and application of therapeutic antibodies against COVID-19. Int J Biol Sci. 17:1486–1496. 2021. View Article : Google Scholar : PubMed/NCBI

32 

Ning L, Liu M, Gou Y, Yang Y, He B and Huang J: Development and application of ribonucleic acid therapy strategies against COVID-19. Int J Biol Sci. 18:5070–5085. 2022. View Article : Google Scholar : PubMed/NCBI

33 

Zhang Y, Pan X, Shi T, Gu Z, Yang Z, Liu M, Xu Y, Yang Y, Ren L, Song X, et al: P450Rdb: A manually curated database of reactions catalyzed by cytochrome P450 enzymes. J Adv Res. Oct 21–2023.doi: 10.1016/j.jare.2023.10.012 (Epub ahead of print). View Article : Google Scholar

34 

Williams CG, Lee HJ, Asatsuma T, Vento-Tormo R and Haque A: An introduction to spatial transcriptomics for biomedical research. Genome Med. 14:682022. View Article : Google Scholar : PubMed/NCBI

35 

Anderson AC, Yanai I, Yates LR, Wang L, Swarbrick A, Sorger P, Santagata S, Fridman WH, Gao Q, Jerby L, et al: Spatial transcriptomics. Cancer Cell. 40:895–900. 2022. View Article : Google Scholar : PubMed/NCBI

36 

Zhang L, Chen D, Song D, Liu X, Zhang Y, Xu X and Wang X: Clinical and translational values of spatial transcriptomics. Signal Transduct Target Ther. 7:1112022. View Article : Google Scholar : PubMed/NCBI

37 

Larsson L, Bergenstråhle L, He M, Andrusivova Z and Lundeberg J: SnapShot: Spatial transcriptomics. Cell. 185:2840–2840.e1. 2022. View Article : Google Scholar : PubMed/NCBI

38 

Zhang Y, Liu T, Wang J, Zou B, Li L, Yao L, Chen K, Ning L, Wu B, Zhao X and Wang D: Cellinker: A platform of ligand-receptor interactions for intercellular communication analysis. Bioinformatics: btab036. 2021.doi: 10.1093/bioinformatics/btab036 (Epub ahead of print).

39 

Ren L, Ning L, Yang Y, Yang T, Li X, Tan S, Ge P, Li S, Luo N, Tao P and Zhang Y: MetaboliteCOVID: A manually curated database of metabolite markers for COVID-19. Comput Biol Med. 167:1076612023. View Article : Google Scholar : PubMed/NCBI

40 

Ahmed R, Zaman T, Chowdhury F, Mraiche F, Tariq M, Ahmad IS and Hasan A: Single-Cell RNA sequencing with spatial transcriptomics of cancer tissues. Int J Mol Sci. 23:30422022. View Article : Google Scholar : PubMed/NCBI

41 

Longo SK, Guo MG, Ji AL and Khavari PA: Integrating single-cell and spatial transcriptomics to elucidate intercellular tissue dynamics. Nat Rev Genet. 22:627–644. 2021. View Article : Google Scholar : PubMed/NCBI

42 

Kijima Y, Evans-Yamamoto D, Toyoshima H and Yachie N: A universal sequencing read interpreter. Sci Adv. 9:eadd27932023. View Article : Google Scholar : PubMed/NCBI

43 

Ren L, Xu Y, Ning L, Pan X, Li Y, Zhao Q, Pang B, Huang J, Deng K and Zhang Y: TCM2COVID: A resource of anti-COVID-19 traditional Chinese medicine with effects and mechanisms. Imeta. e422022.doi: 10.1002/imt2.42 (Epub ahead of print). View Article : Google Scholar : PubMed/NCBI

44 

Zhang Y, Liu C, Liu M, Liu T, Lin H, Huang CB and Ning L: Attention is all you need: Utilizing attention in AI-enabled drug discovery. Brief Bioinform. 25:bbad4672023. View Article : Google Scholar : PubMed/NCBI

45 

Ren L, Pan X, Ning L, Gong D, Huang J, Deng K, Xie L and Zhang Y: Construction of a combined hypoxia-related genes model for hepatocellular carcinoma prognosis. Curr Comput Aided Drug Des. 19:150–161. 2023. View Article : Google Scholar : PubMed/NCBI

46 

Navin N, Kendall J, Troge J, Andrews P, Rodgers L, McIndoo J, Cook K, Stepansky A, Levy D, Esposito D, et al: Tumour evolution inferred by single-cell sequencing. Nature. 472:90–94. 2011. View Article : Google Scholar : PubMed/NCBI

47 

Xie Z, Li J, Huang P, Zhang Y, Yang J, Liu K and Jiang Y: Applications and achievements of single-cell sequencing in gastrointestinal cancer. Front Oncol. 12:9055712022. View Article : Google Scholar : PubMed/NCBI

48 

Picelli S, Björklund Å K, Faridani OR, Sagasser S, Winberg G and Sandberg R: Smart-seq2 for sensitive full-length transcriptome profiling in single cells. Nature Methods. 10:1096–1098. 2013. View Article : Google Scholar : PubMed/NCBI

49 

Zheng GX, Terry JM, Belgrader P, Ryvkin P, Bent ZW, Wilson R, Ziraldo SB, Wheeler TD, McDermott GP, Zhu J, et al: Massively parallel digital transcriptional profiling of single cells. Nat Commun. 8:140492017. View Article : Google Scholar : PubMed/NCBI

50 

Liang L, Yu J, Li J, Li N, Liu J, Xiu L, Zeng J, Wang T and Wu L: Integration of scRNA-Seq and bulk RNA-Seq to analyse the heterogeneity of ovarian cancer immune cells and establish a molecular risk model. Front Oncol. 11:7110202021. View Article : Google Scholar : PubMed/NCBI

51 

Lohr JG, Adalsteinsson VA, Cibulskis K, Choudhury AD, Rosenberg M, Cruz-Gordillo P, Francis JM, Zhang CZ, Shalek AK, Satija R, et al: Whole-exome sequencing of circulating tumor cells provides a window into metastatic prostate cancer. Nat Biotechnol. 32:479–484. 2014. View Article : Google Scholar : PubMed/NCBI

52 

Hashimshony T, Wagner F, Sher N and Yanai I: CEL-Seq: Single-cell RNA-Seq by multiplexed linear amplification. Cell Rep. 2:666–673. 2012. View Article : Google Scholar : PubMed/NCBI

53 

Smallwood SA, Lee HJ, Angermueller C, Krueger F, Saadeh H, Peat J, Andrews SR, Stegle O, Reik W and Kelsey G: Single-cell genome-wide bisulfite sequencing for assessing epigenetic heterogeneity. Nat Methods. 11:817–820. 2014. View Article : Google Scholar : PubMed/NCBI

54 

Shalek AK, Satija R, Adiconis X, Gertner RS, Gaublomme JT, Raychowdhury R, Schwartz S, Yosef N, Malboeuf C, Lu D, et al: Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells. Nature. 498:236–240. 2013. View Article : Google Scholar : PubMed/NCBI

55 

Shalek AK, Satija R, Shuga J, Trombetta JJ, Gennert D, Lu D, Chen P, Gertner RS, Gaublomme JT, Yosef N, et al: Single-cell RNA-seq reveals dynamic paracrine control of cellular variation. Nature. 510:363–369. 2014. View Article : Google Scholar : PubMed/NCBI

56 

Tirosh I, Izar B, Prakadan SM, Wadsworth MH II, Treacy D, Trombetta JJ, Rotem A, Rodman C, Lian C, Murphy G, et al: Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq. Science. 352:189–196. 2016. View Article : Google Scholar : PubMed/NCBI

57 

Buenrostro JD, Wu B, Litzenburger UM, Ruff D, Gonzales ML, Snyder MP, Chang HY and Greenleaf WJ: Single-cell chromatin accessibility reveals principles of regulatory variation. Nature. 523:486–490. 2015. View Article : Google Scholar : PubMed/NCBI

58 

Zeisel A, Muñoz-Manchado AB, Codeluppi S, Lönnerberg P, La Manno G, Juréus A, Marques S, Munguba H, He L, Betsholtz C, et al: Brain structure. Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq. Science. 347:1138–1142. 2015. View Article : Google Scholar : PubMed/NCBI

59 

Treutlein B, Brownfield DG, Wu AR, Neff NF, Mantalas GL, Espinoza FH, Desai TJ, Krasnow MA and Quake SR: Reconstructing lineage hierarchies of the distal lung epithelium using single-cell RNA-seq. Nature. 509:371–375. 2014. View Article : Google Scholar : PubMed/NCBI

60 

Gierahn TM, Wadsworth MH II, Hughes TK, Bryson BD, Butler A, Satija R, Fortune S, Love JC and Shalek AK: Seq-Well: Portable, low-cost RNA sequencing of single cells at high throughput. Nat Methods. 14:395–398. 2017. View Article : Google Scholar : PubMed/NCBI

61 

Rosenberg AB, Roco CM, Muscat RA, Kuchina A, Sample P, Yao Z, Graybuck LT, Peeler DJ, Mukherjee S, Chen W, et al: Single-cell profiling of the developing mouse brain and spinal cord with split-pool barcoding. Science. 360:176–182. 2018. View Article : Google Scholar : PubMed/NCBI

62 

Keren-Shaul H, Kenigsberg E, Jaitin DA, David E, Paul F, Tanay A and Amit I: MARS-seq2.0: An experimental and analytical pipeline for indexed sorting combined with single-cell RNA sequencing. Nat Protoc. 14:1841–1862. 2019. View Article : Google Scholar : PubMed/NCBI

63 

Kouno T, Moody J, Kwon AT, Shibayama Y, Kato S, Huang Y, Böttcher M, Motakis E, Mendez M, Severin J, et al: C1 CAGE detects transcription start sites and enhancer activity at single-cell resolution. Nat Commun. 10:3602019. View Article : Google Scholar : PubMed/NCBI

64 

Lyu T, Lin Y, Wu K, Cao Z, Zhang Q and Zheng J: Single-cell sequencing technologies in bladder cancer research: Applications and challenges. Front Genet. 13:10279092022. View Article : Google Scholar : PubMed/NCBI

65 

Dean FB, Nelson JR, Giesler TL and Lasken RS: Rapid amplification of plasmid and phage DNA using Phi 29 DNA polymerase and multiply-primed rolling circle amplification. Genome Res. 11:1095–1099. 2001. View Article : Google Scholar : PubMed/NCBI

66 

Zong C, Lu S, Chapman AR and Xie XS: Genome-wide detection of single-nucleotide and copy-number variations of a single human cell. Science. 338:1622–1626. 2012. View Article : Google Scholar : PubMed/NCBI

67 

Chen C, Xing D, Tan L, Li H, Zhou G, Huang L and Xie XS: Single-cell whole-genome analyses by Linear Amplification via Transposon Insertion (LIANTI). Science. 356:189–194. 2017. View Article : Google Scholar : PubMed/NCBI

68 

Xing D, Tan L, Chang CH, Li H and Xie XS: Accurate SNV detection in single cells by transposon-based whole-genome amplification of complementary strands. Proc Natl Acad Sci USA. 118:e20131061182021. View Article : Google Scholar : PubMed/NCBI

69 

Weichenhan D, Lipka DB, Lutsik P, Goyal A and Plass C: Epigenomic technologies for precision oncology. Semin Cancer Biol. 84:60–68. 2022. View Article : Google Scholar : PubMed/NCBI

70 

Clark SJ, Lee HJ, Smallwood SA, Kelsey G and Reik W: Single-cell epigenomics: Powerful new methods for understanding gene regulation and cell identity. Genome Biol. 17:722016. View Article : Google Scholar : PubMed/NCBI

71 

Guo H, Zhu P, Wu X, Li X, Wen L and Tang F: Single-cell methylome landscapes of mouse embryonic stem cells and early embryos analyzed using reduced representation bisulfite sequencing. Genome Res. 23:2126–2135. 2013. View Article : Google Scholar : PubMed/NCBI

72 

Johnson DS, Mortazavi A, Myers RM and Wold B: Genome-wide mapping of in vivo protein-DNA interactions. Science. 316:1497–1502. 2007. View Article : Google Scholar : PubMed/NCBI

73 

Park PJ: ChIP-seq: Advantages and challenges of a maturing technology. Nat Rev Genet. 10:669–680. 2009. View Article : Google Scholar : PubMed/NCBI

74 

Tajik M, Baharfar M and Donald WA: Single-cell mass spectrometry. Trends Biotechnol. 40:1374–1392. 2022. View Article : Google Scholar : PubMed/NCBI

75 

Iyer A, Hamers AAJ and Pillai AB: CyTOF(®) for the Masses. Front Immunol. 13:8158282022. View Article : Google Scholar : PubMed/NCBI

76 

Budnik B, Levy E, Harmange G and Slavov N: SCoPE-MS: Mass spectrometry of single mammalian cells quantifies proteome heterogeneity during cell differentiation. Genome Biol. 19:1612018. View Article : Google Scholar : PubMed/NCBI

77 

Specht H, Emmott E, Petelski AA, Huffman RG, Perlman DH, Serra M, Kharchenko P, Koller A and Slavov N: Single-cell proteomic and transcriptomic analysis of macrophage heterogeneity using SCoPE2. Genome Biol. 22:502021. View Article : Google Scholar : PubMed/NCBI

78 

Bock C, Datlinger P, Chardon F, Coelho MA, Dong MB, Lawson KA, Lu T, Maroc L, Norman TM, Song B, et al: High-content CRISPR screening. Nat Rev Methods Primers. 2:92022. View Article : Google Scholar : PubMed/NCBI

79 

Adamson B, Norman TM, Jost M, Cho MY, Nuñez JK, Chen Y, Villalta JE, Gilbert LA, Horlbeck MA, Hein MY, et al: A multiplexed Single-Cell CRISPR screening platform enables systematic dissection of the unfolded protein response. Cell. 167:1867–1882.e21. 2016. View Article : Google Scholar : PubMed/NCBI

80 

Jaitin DA, Weiner A, Yofe I, Lara-Astiaso D, Keren-Shaul H, David E, Salame TM, Tanay A, van Oudenaarden A and Amit I: Dissecting immune circuits by linking CRISPR-Pooled screens with Single-Cell RNA-Seq. Cell. 167:1883–1896.e15. 2016. View Article : Google Scholar : PubMed/NCBI

81 

Datlinger P, Rendeiro AF, Schmidl C, Krausgruber T, Traxler P, Klughammer J, Schuster LC, Kuchler A, Alpar D and Bock C: Pooled CRISPR screening with single-cell transcriptome readout. Nat Methods. 14:297–301. 2017. View Article : Google Scholar : PubMed/NCBI

82 

Xie S, Duan J, Li B, Zhou P and Hon GC: Multiplexed engineering and analysis of combinatorial enhancer activity in single cells. Mol Cell. 66:285–299.e5. 2017. View Article : Google Scholar : PubMed/NCBI

83 

Replogle JM, Norman TM, Xu A, Hussmann JA, Chen J, Cogan JZ, Meer EJ, Terry JM, Riordan DP, Srinivas N, et al: Combinatorial single-cell CRISPR screens by direct guide RNA capture and targeted sequencing. Nat Biotechnol. 38:954–961. 2020. View Article : Google Scholar : PubMed/NCBI

84 

Jun S, Lim H, Chun H, Lee JH and Bang D: Single-cell analysis of a mutant library generated using CRISPR-guided deaminase in human melanoma cells. Commu Biol. 3:1542020. View Article : Google Scholar

85 

Roth TL, Li PJ, Blaeschke F, Nies JF, Apathy R, Mowery C, Yu R, Nguyen MLT, Lee Y, Truong A, et al: Pooled knockin targeting for genome engineering of cellular immunotherapies. Cell. 181:728–744.e21. 2020. View Article : Google Scholar : PubMed/NCBI

86 

Hou Y, Guo H, Cao C, Li X, Hu B, Zhu P, Wu X, Wen L, Tang F, Huang Y and Peng J: Single-cell triple omics sequencing reveals genetic, epigenetic, and transcriptomic heterogeneity in hepatocellular carcinomas. Cell Res. 26:304–319. 2016. View Article : Google Scholar : PubMed/NCBI

87 

Stoeckius M, Hafemeister C, Stephenson W, Houck-Loomis B, Chattopadhyay PK, Swerdlow H, Satija R and Smibert P: Simultaneous epitope and transcriptome measurement in single cells. Nat Methods. 14:865–868. 2017. View Article : Google Scholar : PubMed/NCBI

88 

Angermueller C, Clark SJ, Lee HJ, Macaulay IC, Teng MJ, Hu TX, Krueger F, Smallwood S, Ponting CP, Voet T, et al: Parallel single-cell sequencing links transcriptional and epigenetic heterogeneity. Nat Methods. 13:229–232. 2016. View Article : Google Scholar : PubMed/NCBI

89 

Deng G, Zhang X, Chen Y, Liang S, Liu S, Yu Z and Lü M: Single-cell transcriptome sequencing reveals heterogeneity of gastric cancer: Progress and prospects. Front Oncol. 13:10742682023. View Article : Google Scholar : PubMed/NCBI

90 

Kumar V, Ramnarayanan K, Sundar R, Padmanabhan N, Srivastava S, Koiwa M, Yasuda T, Koh V, Huang KK, Tay ST, et al: Single-Cell atlas of lineage states, tumor microenvironment, and subtype-specific expression programs in gastric cancer. Cancer Discov. 12:670–691. 2022. View Article : Google Scholar : PubMed/NCBI

91 

Kang B, Camps J, Fan B, Jiang H, Ibrahim MM, Hu X, Qin S, Kirchhoff D, Chiang DY, Wang S, et al: Parallel single-cell and bulk transcriptome analyses reveal key features of the gastric tumor microenvironment. Genome Biol. 23:2652022. View Article : Google Scholar : PubMed/NCBI

92 

Zulfiqar H, Guo Z, Ahmad RM, Ahmed Z, Cai P, Chen X, Zhang Y, Lin H and Shi Z: Deep-STP: A deep learning-based approach to predict snake toxin proteins by using word embeddings. Front Med (Lausanne). 10:12913522024. View Article : Google Scholar : PubMed/NCBI

93 

Andor N, Lau BT, Catalanotti C, Sathe A, Kubit M, Chen J, Blaj C, Cherry A, Bangs CD, Grimes SM, et al: Joint single cell DNA-seq and RNA-seq of gastric cancer cell lines reveals rules of in vitro evolution. NAR Genom Bioinform. 2:lqaa0162020. View Article : Google Scholar : PubMed/NCBI

94 

Peng L, Xing R, Liu D, Bao L, Cheng W, Wang H, Yu Y, Liu X, Jiang L, Wu Y, et al: Characterization and validation of somatic mutation spectrum to reveal heterogeneity in gastric cancer by single cell sequencing. Sci Bull (Beijing). 64:236–244. 2019. View Article : Google Scholar : PubMed/NCBI

95 

Chen Y, Li Y, Qi C, Zhang C, Liu D, Deng Y, Fu Y, Khadka VS, Wang DD, Tan S, et al: Dysregulated KRAS gene-signaling axis and abnormal chromatin remodeling drive therapeutic resistance in heterogeneous-sized circulating tumor cells in gastric cancer patients. Cancer Lett. 517:78–87. 2021. View Article : Google Scholar : PubMed/NCBI

96 

Li Y, Zhang X, Ge S, Gong J, Lu M, Zhang Q, Cao Y, Wang DD, Lin PP and Shen L: Clinical significance of phenotyping and karyotyping of circulating tumor cells in patients with advanced gastric cancer. Oncotarget. 5:6594–6602. 2014. View Article : Google Scholar : PubMed/NCBI

97 

Li Y, Zhang X, Liu D, Gong J, Wang DD, Li S, Peng Z, Li Y, Wang X, Lin PP, et al: Evolutionary expression of HER2 conferred by chromosome aneuploidy on circulating gastric cancer cells contributes to developing targeted and chemotherapeutic resistance. Clin Cancer Res. 24:5261–5271. 2018. View Article : Google Scholar : PubMed/NCBI

98 

Wang B, Zhang Y, Qing T, Xing K, Li J, Zhen T, Zhu S and Zhan X: Comprehensive analysis of metastatic gastric cancer tumour cells using single-cell RNA-seq. Sci Rep. 11:11412021. View Article : Google Scholar : PubMed/NCBI

99 

Zhang M, Hu S, Min M, Ni Y, Lu Z, Sun X, Wu J, Liu B, Ying X and Liu Y: Dissecting transcriptional heterogeneity in primary gastric adenocarcinoma by single cell RNA sequencing. Gut. 70:464–475. 2021. View Article : Google Scholar : PubMed/NCBI

100 

Wang R, Dang M, Harada K, Han G, Wang F, Pool Pizzi M, Zhao M, Tatlonghari G, Zhang S, Hao D, et al: Single-cell dissection of intratumoral heterogeneity and lineage diversity in metastatic gastric adenocarcinoma. Nat Med. 27:141–151. 2021. View Article : Google Scholar : PubMed/NCBI

101 

Eum HH, Kwon M, Ryu D, Jo A, Chung W, Kim N, Hong Y, Son DS, Kim ST, Lee J, et al: Tumor-promoting macrophages prevail in malignant ascites of advanced gastric cancer. Exp Mol Med. 52:1976–1988. 2020. View Article : Google Scholar : PubMed/NCBI

102 

Li Y, Hu X, Lin R, Zhou G, Zhao L, Zhao D, Zhang Y, Li W, Zhang Y, Ma P, et al: Single-cell landscape reveals active cell subtypes and their interaction in the tumor microenvironment of gastric cancer. Theranostics. 12:3818–3833. 2022. View Article : Google Scholar : PubMed/NCBI

103 

Huang Z, Wu C, Liu X, Lu S, You L, Guo F, Stalin A, Zhang J, Zhang F, Wu Z, et al: Single-Cell and bulk RNA sequencing reveal malignant epithelial cell heterogeneity and prognosis signatures in gastric carcinoma. Cells. 11:25502022. View Article : Google Scholar : PubMed/NCBI

104 

Zhang P, Yang M, Zhang Y, Xiao S, Lai X, Tan A, Du S and Li S: Dissecting the Single-cell transcriptome network underlying gastric premalignant lesions and early gastric cancer. Cell Rep. 27:1934–1947.e5. 2019. View Article : Google Scholar : PubMed/NCBI

105 

Sathe A, Grimes SM, Lau BT, Chen J, Suarez C, Huang RJ, Poultsides G and Ji HP: Single-cell genomic characterization reveals the cellular reprogramming of the gastric tumor microenvironment. Clin Cancer Res. 26:2640–2653. 2020. View Article : Google Scholar : PubMed/NCBI

106 

Fu K, Hui B, Wang Q, Lu C, Shi W, Zhang Z, Rong D, Zhang B, Tian Z, Tang W, et al: Single-cell RNA sequencing of immune cells in gastric cancer patients. Aging (Albany NY). 12:2747–2763. 2020. View Article : Google Scholar : PubMed/NCBI

107 

Huang XZ, Pang MJ, Li JY, Chen HY, Sun JX, Song YX, Ni HJ, Ye SY, Bai S, Li TH, et al: Single-cell sequencing of ascites fluid illustrates heterogeneity and therapy-induced evolution during gastric cancer peritoneal metastasis. Nat Commun. 14:8222023. View Article : Google Scholar : PubMed/NCBI

108 

Sundar R, Huang KK, Kumar V, Ramnarayanan K, Demircioglu D, Her Z, Ong X, Bin Adam Isa ZF, Xing M, Tan AL, et al: Epigenetic promoter alterations in GI tumour immune-editing and resistance to immune checkpoint inhibition. Gut. 71:1277–1288. 2022. View Article : Google Scholar : PubMed/NCBI

109 

Yang W, Zhao Y, Ge Q, Wang X, Jing Y, Zhao J, Liu G, Huang H, Cheng F, Wang X, et al: Genetic mutation and tumor microbiota determine heterogenicity of tumor immune signature: Evidence from gastric and colorectal synchronous cancers. Front Immunol. 13:9470802022. View Article : Google Scholar : PubMed/NCBI

110 

Li X, Sun Z, Peng G, Xiao Y, Guo J, Wu B, Li X, Zhou W, Li J, Li Z, et al: Single-cell RNA sequencing reveals a pro-invasive cancer-associated fibroblast subgroup associated with poor clinical outcomes in patients with gastric cancer. Theranostics. 12:620–638. 2022. View Article : Google Scholar : PubMed/NCBI

111 

Kim R, An M, Lee H, Mehta A, Heo YJ, Kim KM, Lee SY, Moon J, Kim ST, Min BH, et al: Early tumor-immune microenvironmental remodeling and response to first-line fluoropyrimidine and platinum chemotherapy in advanced gastric cancer. Cancer Discov. 12:984–1001. 2022. View Article : Google Scholar : PubMed/NCBI

112 

Li S, Li K, Tian F, Li H, Xia Q, Li T, Dong B, Li D, Yu J, Zhang J, et al: A high interferon gamma signature of CD8+ T cells predicts response to neoadjuvant immunotherapy plus chemotherapy in gastric cancer. Front Immunol. 13:10561442022. View Article : Google Scholar : PubMed/NCBI

113 

Nagaoka K, Shirai M, Taniguchi K, Hosoi A, Sun C, Kobayashi Y, Maejima K, Fujita M, Nakagawa H, Nomura S and Kakimi K: Deep immunophenotyping at the single-cell level identifies a combination of anti-IL-17 and checkpoint blockade as an effective treatment in a preclinical model of data-guided personalized immunotherapy. J Immunother Cancer. 8:e0013582020. View Article : Google Scholar : PubMed/NCBI

114 

Rao A, Barkley D, França GS and Yanai I: Exploring tissue architecture using spatial transcriptomics. Nature. 596:211–220. 2021. View Article : Google Scholar : PubMed/NCBI

115 

Yu Q, Jiang M and Wu L: Spatial transcriptomics technology in cancer research. Front Oncol. 12:10191112022. View Article : Google Scholar : PubMed/NCBI

116 

Femino AM, Fay FS, Fogarty K and Singer RH: Visualization of single RNA transcripts in situ. Science. 280:585–590. 1998. View Article : Google Scholar : PubMed/NCBI

117 

Asp M, Bergenstråhle J and Lundeberg J: Spatially resolved transcriptomes-next generation tools for tissue exploration. Bioessays. 42:e19002212020. View Article : Google Scholar : PubMed/NCBI

118 

Shah S, Lubeck E, Zhou W and Cai L: In situ transcription profiling of single cells reveals spatial organization of cells in the mouse hippocampus. Neuron. 92:342–357. 2016. View Article : Google Scholar : PubMed/NCBI

119 

Eng CL, Lawson M, Zhu Q, Dries R, Koulena N, Takei Y, Yun J, Cronin C, Karp C, Yuan GC and Cai L: Transcriptome-scale super-resolved imaging in tissues by RNA seqFISH. Nature. 568:235–239. 2019. View Article : Google Scholar : PubMed/NCBI

120 

Xia C, Fan J, Emanuel G, Hao J and Zhuang X: Spatial transcriptome profiling by MERFISH reveals subcellular RNA compartmentalization and cell cycle-dependent gene expression. Proc Natl Acad Sci USA. 116:19490–19499. 2019. View Article : Google Scholar : PubMed/NCBI

121 

Wang G, Moffitt JR and Zhuang X: Multiplexed imaging of high-density libraries of RNAs with MERFISH and expansion microscopy. Sci Rep. 8:48472018. View Article : Google Scholar : PubMed/NCBI

122 

Wu C, Simonetti M, Rossell C, Mignardi M, Mirzazadeh R, Annaratone L, Marchiò C, Sapino A, Bienko M, Crosetto N and Nilsson M: RollFISH achieves robust quantification of single-molecule RNA biomarkers in paraffin-embedded tumor tissue samples. Commun Biol. 1:2092018. View Article : Google Scholar : PubMed/NCBI

123 

Dar D, Dar N, Cai L and Newman DK: Spatial transcriptomics of planktonic and sessile bacterial populations at single-cell resolution. Science. 373:eabi48822021. View Article : Google Scholar : PubMed/NCBI

124 

Goh JJL, Chou N, Seow WY, Ha N, Cheng CPP, Chang YC, Zhao ZW and Chen KH: Highly specific multiplexed RNA imaging in tissues with split-FISH. Nat Methods. 17:689–693. 2020. View Article : Google Scholar : PubMed/NCBI

125 

Lee JH, Daugharthy ER, Scheiman J, Kalhor R, Yang JL, Ferrante TC, Terry R, Jeanty SS, Li C, Amamoto R, et al: Highly multiplexed subcellular RNA sequencing in situ. Science. 343:1360–1363. 2014. View Article : Google Scholar : PubMed/NCBI

126 

Alon S, Goodwin DR, Sinha A, Wassie AT, Chen F, Daugharthy ER, Bando Y, Kajita A, Xue AG, Marrett K, et al: Expansion sequencing: Spatially precise in situ transcriptomics in intact biological systems. Science. 371:eaax26562021. View Article : Google Scholar : PubMed/NCBI

127 

Chen X, Sun YC, Church GM, Lee JH and Zador AM: Efficient in situ barcode sequencing using padlock probe-based BaristaSeq. Nucleic Acids Res. 46:e222018. View Article : Google Scholar : PubMed/NCBI

128 

Wang X, Allen WE, Wright MA, Sylwestrak EL, Samusik N, Vesuna S, Evans K, Liu C, Ramakrishnan C, Liu J, et al: Three-dimensional intact-tissue sequencing of single-cell transcriptional states. Science. 361:eaat56912018. View Article : Google Scholar : PubMed/NCBI

129 

Wang Y, Liu B, Zhao G, Lee Y, Buzdin A, Mu X, Zhao J, Chen H and Li X: Spatial transcriptomics: Technologies, applications and experimental considerations. Genomics. 115:1106712023. View Article : Google Scholar : PubMed/NCBI

130 

Elhanani O, Ben-Uri R and Keren L: Spatial profiling technologies illuminate the tumor microenvironment. Cancer Cell. 41:404–420. 2023. View Article : Google Scholar : PubMed/NCBI

131 

Nichterwitz S, Chen G, Aguila Benitez J, Yilmaz M, Storvall H, Cao M, Sandberg R, Deng Q and Hedlund E: Laser capture microscopy coupled with Smart-seq2 for precise spatial transcriptomic profiling. Nat Commun. 7:121392016. View Article : Google Scholar : PubMed/NCBI

132 

Medaglia C, Giladi A, Stoler-Barak L, De Giovanni M, Salame TM, Biram A, David E, Li H, Iannacone M, Shulman Z and Amit I: Spatial reconstruction of immune niches by combining photoactivatable reporters and scRNA-seq. Science. 358:1622–1626. 2017. View Article : Google Scholar : PubMed/NCBI

133 

Junker JP, Noël ES, Guryev V, Peterson KA, Shah G, Huisken J, McMahon AP, Berezikov E, Bakkers J and van Oudenaarden A: Genome-wide RNA Tomography in the zebrafish embryo. Cell. 159:662–675. 2014. View Article : Google Scholar : PubMed/NCBI

134 

Chen J, Suo S, Tam PP, Han JJ, Peng G and Jing N: Spatial transcriptomic analysis of cryosectioned tissue samples with Geo-seq. Nat Protoc. 12:566–580. 2017. View Article : Google Scholar : PubMed/NCBI

135 

Emmert-Buck MR, Bonner RF, Smith PD, Chuaqui RF, Zhuang Z, Goldstein SR, Weiss RA and Liotta LA: Laser capture microdissection. Science. 274:998–1001. 1996. View Article : Google Scholar : PubMed/NCBI

136 

Nichterwitz S, Benitez JA, Hoogstraaten R, Deng Q and Hedlund E: LCM-Seq: A method for spatial transcriptomic profiling using laser capture microdissection coupled with PolyA-Based RNA sequencing. Methods Mol Biol. 1649:95–110. 2018. View Article : Google Scholar : PubMed/NCBI

137 

Merritt CR, Ong GT, Church SE, Barker K, Danaher P, Geiss G, Hoang M, Jung J, Liang Y, McKay-Fleisch J, et al: Multiplex digital spatial profiling of proteins and RNA in fixed tissue. Nat Biotechnol. 38:586–599. 2020. View Article : Google Scholar : PubMed/NCBI

138 

Vickovic S, Eraslan G, Salmén F, Klughammer J, Stenbeck L, Schapiro D, Äijö T, Bonneau R, Bergenstråhle L, Navarro JF, et al: High-definition spatial transcriptomics for in situ tissue profiling. Nat Methods. 16:987–990. 2019. View Article : Google Scholar : PubMed/NCBI

139 

Ståhl PL, Salmén F, Vickovic S, Lundmark A, Navarro JF, Magnusson J, Giacomello S, Asp M, Westholm JO, Huss M, et al: Visualization and analysis of gene expression in tissue sections by spatial transcriptomics. Science. 353:78–82. 2016. View Article : Google Scholar : PubMed/NCBI

140 

Chen A, Liao S, Cheng M, Ma K, Wu L, Lai Y, Qiu X, Yang J, Xu J, Hao S, et al: Spatiotemporal transcriptomic atlas of mouse organogenesis using DNA nanoball-patterned arrays. Cell. 185:1777–1792.e1721. 2022. View Article : Google Scholar : PubMed/NCBI

141 

Rodriques SG, Stickels RR, Goeva A, Martin CA, Murray E, Vanderburg CR, Welch J, Chen LM, Chen F and Macosko EZ: Slide-seq: A scalable technology for measuring genome-wide expression at high spatial resolution. Science. 363:1463–1467. 2019. View Article : Google Scholar : PubMed/NCBI

142 

Cho CS, Xi J, Si Y, Park SR, Hsu JE, Kim M, Jun G, Kang HM and Lee JH: Microscopic examination of spatial transcriptome using Seq-scope. Cell. 184:3559–3572.e22. 2021. View Article : Google Scholar : PubMed/NCBI

143 

Fazal FM, Han S, Parker KR, Kaewsapsak P, Xu J, Boettiger AN, Chang HY and Ting AY: Atlas of subcellular RNA localization revealed by APEX-Seq. Cell. 178:473–490.e26. 2019. View Article : Google Scholar : PubMed/NCBI

144 

Wu SZ, Al-Eryani G, Roden DL, Junankar S, Harvey K, Andersson A, Thennavan A, Wang C, Torpy JR, Bartonicek N, et al: A single-cell and spatially resolved atlas of human breast cancers. Nat Genet. 53:1334–1347. 2021. View Article : Google Scholar : PubMed/NCBI

145 

Ji AL, Rubin AJ, Thrane K, Jiang S, Reynolds DL, Meyers RM, Guo MG, George BM, Mollbrink A, Bergenstråhle J, et al: Multimodal analysis of composition and spatial architecture in human squamous cell carcinoma. Cell. 182:497–514.e22. 2020. View Article : Google Scholar : PubMed/NCBI

146 

Pastushenko I and Blanpain C: EMT transition states during tumor progression and metastasis. Trends Cell Biol. 29:212–226. 2019. View Article : Google Scholar : PubMed/NCBI

147 

Saviano A, Henderson NC and Baumert TF: Single-cell genomics and spatial transcriptomics: Discovery of novel cell states and cellular interactions in liver physiology and disease biology. J Hepatol. 73:1219–1230. 2020. View Article : Google Scholar : PubMed/NCBI

148 

Sharma A, Seow JJW, Dutertre CA, Pai R, Blériot C, Mishra A, Wong RMM, Singh GSN, Sudhagar S, Khalilnezhad S, et al: Onco-fetal reprogramming of endothelial cells drives immunosuppressive macrophages in hepatocellular carcinoma. Cell. 183:377–394.e21. 2020. View Article : Google Scholar : PubMed/NCBI

149 

Massalha H, Bahar Halpern K, Abu-Gazala S, Jana T, Massasa EE, Moor AE, Buchauer L, Rozenberg M, Pikarsky E, Amit I, et al: A single cell atlas of the human liver tumor microenvironment. Mol Syst Biol. 16:e96822020. View Article : Google Scholar : PubMed/NCBI

150 

Ben-Moshe S, Shapira Y, Moor AE, Manco R, Veg T, Bahar Halpern K and Itzkovitz S: Spatial sorting enables comprehensive characterization of liver zonation. Nat Metab. 1:899–911. 2019. View Article : Google Scholar : PubMed/NCBI

151 

Lei X, Lei Y, Li JK, Du WX, Li RG, Yang J, Li J, Li F and Tan HB: Immune cells within the tumor microenvironment: Biological functions and roles in cancer immunotherapy. Cancer Lett. 470:126–133. 2020. View Article : Google Scholar : PubMed/NCBI

152 

Andersson A, Larsson L, Stenbeck L, Salmén F, Ehinger A, Wu SZ, Al-Eryani G, Roden D, Swarbrick A, Borg Å, et al: Spatial deconvolution of HER2-positive breast cancer delineates tumor-associated cell type interactions. Nat Commun. 12:60122021. View Article : Google Scholar : PubMed/NCBI

153 

Nerurkar SN, Goh D, Cheung CCL, Nga PQY, Lim JCT and Yeong JPS: Transcriptional Spatial Profiling of Cancer Tissues in the Era of Immunotherapy: The potential and promise. Cancers (Basel). 12:25722020. View Article : Google Scholar : PubMed/NCBI

154 

Grauel AL, Nguyen B, Ruddy D, Laszewski T, Schwartz S, Chang J, Chen J, Piquet M, Pelletier M, Yan Z, et al: TGFβ-blockade uncovers stromal plasticity in tumors by revealing the existence of a subset of interferon-licensed fibroblasts. Nat Commun. 11:63152020. View Article : Google Scholar : PubMed/NCBI

155 

Moncada R, Barkley D, Wagner F, Chiodin M, Devlin JC, Baron M, Hajdu CH, Simeone DM and Yanai I: Integrating microarray-based spatial transcriptomics and single-cell RNA-seq reveals tissue architecture in pancreatic ductal adenocarcinomas. Nat Biotechnol. 38:333–342. 2020. View Article : Google Scholar : PubMed/NCBI

156 

Svedlund J, Strell C, Qian X, Zilkens KJC, Tobin NP, Bergh J, Sieuwerts AM and Nilsson M: Generation of in situ sequencing based OncoMaps to spatially resolve gene expression profiles of diagnostic and prognostic markers in breast cancer. EBioMedicine. 48:212–223. 2019. View Article : Google Scholar : PubMed/NCBI

157 

Wu Y, Yang S, Ma J, Chen Z, Song G, Rao D, Cheng Y, Huang S, Liu Y, Jiang S, et al: Spatiotemporal immune landscape of colorectal cancer liver metastasis at Single-cell level. Cancer Discov. 12:134–153. 2022. View Article : Google Scholar : PubMed/NCBI

158 

Jeong HY, Ham IH, Lee SH, Ryu D, Son SY, Han SU, Kim TM and Hur H: Spatially distinct reprogramming of the tumor microenvironment based on tumor invasion in Diffuse-type gastric cancers. Clin Cancer Res. 27:6529–6542. 2021. View Article : Google Scholar : PubMed/NCBI

159 

Sundar R, Liu DH, Hutchins GG, Slaney HL, Silva AN, Oosting J, Hayden JD, Hewitt LC, Ng CC, Mangalvedhekar A, et al: Spatial profiling of gastric cancer patient-matched primary and locoregional metastases reveals principles of tumour dissemination. Gut. 70:1823–1832. 2021. View Article : Google Scholar : PubMed/NCBI

160 

Yamasaki J, Hirata Y, Otsuki Y, Suina K, Saito Y, Masuda K, Okazaki S, Ishimoto T, Saya H and Nagano O: MEK inhibition suppresses metastatic progression of KRAS-mutated gastric cancer. Cancer Sci. 113:916–925. 2022. View Article : Google Scholar : PubMed/NCBI

161 

Grosser B, Glückstein MI, Dhillon C, Schiele S, Dintner S, VanSchoiack A, Kroeppler D, Martin B, Probst A, Vlasenko D, et al: Stroma AReactive invasion front areas (SARIFA)-a new prognostic biomarker in gastric cancer related to tumor-promoting adipocytes. J Pathol. 256:71–82. 2022. View Article : Google Scholar : PubMed/NCBI

162 

Jia L, Wang T, Zhao Y, Zhang S, Ba T, Kuai X, Wang B, Zhang N, Zhao W, Yang Z and Qiao H: Single-cell profiling of infiltrating B cells and tertiary lymphoid structures in the TME of gastric adenocarcinomas. Oncoimmunology. 10:19697672021. View Article : Google Scholar : PubMed/NCBI

163 

Xie W, Cheng J, Hong Z, Cai W, Zhuo H, Hou J, Lin L, Wei X, Wang K, Chen X, et al: Multi-transcriptomic analysis reveals the heterogeneity and tumor-promoting role of SPP1/CD44-mediated intratumoral crosstalk in gastric cancer. Cancers (Basel). 15:1642022. View Article : Google Scholar : PubMed/NCBI

164 

Yang Y, Gao D, Xie X, Qin J, Li J, Lin H, Yan D and Deng K: DeepIDC: A prediction framework of injectable drug combination based on heterogeneous information and deep learning. Clin Pharmacokinet. 61:1749–1759. 2022. View Article : Google Scholar : PubMed/NCBI

165 

Han YM, Yang H, Huang QL, Sun ZJ, Li ML, Zhang JB, Deng KJ, Chen S and Lin H: Risk prediction of diabetes and pre-diabetes based on physical examination data. Math Biosci Eng. 19:3597–3608. 2022. View Article : Google Scholar : PubMed/NCBI

166 

Chen J, Xu H, Tao W, Chen Z, Zhao Y and Han JDJ: Transformer for one stop interpretable cell type annotation. Nat Commun. 14:2232023. View Article : Google Scholar : PubMed/NCBI

167 

Ma Q and Xu D: Deep learning shapes single-cell data analysis. Nat Rev Mol Cell Biol. 23:303–304. 2022. View Article : Google Scholar : PubMed/NCBI

168 

Yuan Z and Yao J: Harnessing computational spatial omics to explore the spatial biology intricacies. Semin Cancer Biol. 95:25–41. 2023. View Article : Google Scholar : PubMed/NCBI

169 

Liu J, Fan Z, Zhao W and Zhou X: Machine intelligence in Single-cell data analysis: Advances and new Challenges. Front Genet. 12:6555362021. View Article : Google Scholar : PubMed/NCBI

170 

Islam S, Kjällquist U, Moliner A, Zajac P, Fan JB, Lönnerberg P and Linnarsson S: Characterization of the single-cell transcriptional landscape by highly multiplex RNA-seq. Genome Res. 21:1160–1167. 2011. View Article : Google Scholar : PubMed/NCBI

171 

Ramsköld D, Luo S, Wang YC, Li R, Deng Q, Faridani OR, Daniels GA, Khrebtukova I, Loring JF, Laurent LC, et al: Full-length mRNA-Seq from single-cell levels of RNA and individual circulating tumor cells. Nat Biotechnol. 30:777–782. 2012. View Article : Google Scholar : PubMed/NCBI

172 

Klein AM, Mazutis L, Akartuna I, Tallapragada N, Veres A, Li V, Peshkin L, Weitz DA and Kirschner MW: Droplet barcoding for single-cell transcriptomics applied to embryonic stem cells. Cell. 161:1187–1201. 2015. View Article : Google Scholar : PubMed/NCBI

173 

Han X, Wang R, Zhou Y, Fei L, Sun H, Lai S, Saadatpour A, Zhou Z, Chen H, Ye F, et al: Mapping the mouse cell atlas by microwell-seq. Cell. 172:1091–1107.e17. 2018. View Article : Google Scholar : PubMed/NCBI

174 

Sasagawa Y, Nikaido I, Hayashi T, Danno H, Uno KD, Imai T and Ueda HR: Quartz-Seq: A highly reproducible and sensitive single-cell RNA sequencing method, reveals non-genetic gene-expression heterogeneity. Genome Biol. 14:R312013. View Article : Google Scholar : PubMed/NCBI

175 

Hayashi T, Ozaki H, Sasagawa Y, Umeda M, Danno H and Nikaido I: Single-cell full-length total RNA sequencing uncovers dynamics of recursive splicing and enhancer RNAs. Nat Commun. 9:6192018. View Article : Google Scholar : PubMed/NCBI

176 

Farlik M, Sheffield NC, Nuzzo A, Datlinger P, Schönegger A, Klughammer J and Bock C: Single-cell DNA methylome sequencing and bioinformatic inference of epigenomic cell-state dynamics. Cell Rep. 10:1386–1397. 2015. View Article : Google Scholar : PubMed/NCBI

177 

Han L, Wu HJ, Zhu H, Kim KY, Marjani SL, Riester M, Euskirchen G, Zi X, Yang J, Han J, et al: Bisulfite-independent analysis of CpG island methylation enables genome-scale stratification of single cells. Nucleic Acids Res. 45:e772017.PubMed/NCBI

178 

Litzenburger UM, Buenrostro JD, Wu B, Shen Y, Sheffield NC, Kathiria A, Greenleaf WJ and Chang HY: Single-cell epigenomic variability reveals functional cancer heterogeneity. Genome Biol. 18:152017. View Article : Google Scholar : PubMed/NCBI

179 

Buenrostro JD, Giresi PG, Zaba LC, Chang HY and Greenleaf WJ: Transposition of native chromatin for fast and sensitive epigenomic profiling of open chromatin, DNA-binding proteins and nucleosome position. Nat Methods. 10:1213–1218. 2013. View Article : Google Scholar : PubMed/NCBI

180 

Rotem A, Ram O, Shoresh N, Sperling RA, Goren A, Weitz DA and Bernstein BE: Single-cell ChIP-seq reveals cell subpopulations defined by chromatin state. Nat Biotechnol. 33:1165–1172. 2015. View Article : Google Scholar : PubMed/NCBI

181 

Mooijman D, Dey SS, Boisset JC, Crosetto N and van Oudenaarden A: Single-cell 5hmC sequencing reveals chromosome-wide cell-to-cell variability and enables lineage reconstruction. Nat Biotechnol. 34:852–856. 2016. View Article : Google Scholar : PubMed/NCBI

182 

Kaya-Okur HS, Wu SJ, Codomo CA, Pledger ES, Bryson TD, Henikoff JG, Ahmad K and Henikoff S: CUT&Tag for efficient epigenomic profiling of small samples and single cells. Nat Commun. 10:19302019. View Article : Google Scholar : PubMed/NCBI

183 

Nagano T, Lubling Y, Stevens TJ, Schoenfelder S, Yaffe E, Dean W, Laue ED, Tanay A and Fraser P: Single-cell Hi-C reveals cell-to-cell variability in chromosome structure. Nature. 502:59–64. 2013. View Article : Google Scholar : PubMed/NCBI

184 

Peterson VM, Zhang KX, Kumar N, Wong J, Li L, Wilson DC, Moore R, McClanahan TK, Sadekova S and Klappenbach JA: Multiplexed quantification of proteins and transcripts in single cells. Nat Biotechnol. 35:936–939. 2017. View Article : Google Scholar : PubMed/NCBI

185 

Macaulay IC, Haerty W, Kumar P, Li YI, Hu TX, Teng MJ, Goolam M, Saurat N, Coupland P, Shirley LM, et al: G&T-seq: Parallel sequencing of single-cell genomes and transcriptomes. Nat Methods. 12:519–522. 2015. View Article : Google Scholar : PubMed/NCBI

186 

Dey SS, Kester L, Spanjaard B, Bienko M and van Oudenaarden A: Integrated genome and transcriptome sequencing of the same cell. Nat Biotechnol. 33:285–289. 2015. View Article : Google Scholar : PubMed/NCBI

187 

Rooijers K, Markodimitraki CM, Rang FJ, de Vries SS, Chialastri A, de Luca KL, Mooijman D, Dey SS and Kind J: Simultaneous quantification of protein-DNA contacts and transcriptomes in single cells. Nat Biotechnol. 37:766–772. 2019. View Article : Google Scholar : PubMed/NCBI

188 

Satpathy AT, Saligrama N, Buenrostro JD, Wei Y, Wu B, Rubin AJ, Granja JM, Lareau CA, Li R, Qi Y, et al: Transcript-indexed ATAC-seq for precision immune profiling. Nat Med. 24:580–590. 2018. View Article : Google Scholar : PubMed/NCBI

189 

Chen S, Lake BB and Zhang K: High-throughput sequencing of the transcriptome and chromatin accessibility in the same cell. Nat Biotechnol. 37:1452–1457. 2019. View Article : Google Scholar : PubMed/NCBI

190 

Liu L, Liu C, Quintero A, Wu L, Yuan Y, Wang M, Cheng M, Leng L, Xu L, Dong G, et al: Deconvolution of single-cell multi-omics layers reveals regulatory heterogeneity. Nat Commun. 10:4702019. View Article : Google Scholar : PubMed/NCBI

191 

Meyer AR, Engevik AC, Madorsky T, Belmont E, Stier MT, Norlander AE, Pilkinton MA, McDonnell WJ, Weis JA, Jang B, et al: Group 2 innate lymphoid cells coordinate damage response in the stomach. Gastroenterology. 159:2077–2091.e8. 2020. View Article : Google Scholar : PubMed/NCBI

192 

Kwon M, An M, Klempner SJ, Lee H, Kim KM, Sa JK, Cho HJ, Hong JY, Lee T, Min YW, et al: Determinants of response and intrinsic resistance to PD-1 blockade in microsatellite instability-high gastric cancer. Cancer Discov. 11:2168–2185. 2021. View Article : Google Scholar : PubMed/NCBI

193 

Zhou X, Yang J, Lu Y, Ma Y, Meng Y, Li Q, Gao J, Jiang Z, Guo L, Wang W, et al: Relationships of tumor differentiation and immune infiltration in gastric cancers revealed by single-cell RNA-seq analyses. Cell Mol Life Sci. 80:572023. View Article : Google Scholar : PubMed/NCBI

194 

Jiang H, Yu D, Yang P, Guo R, Kong M, Gao Y, Yu X, Lu X and Fan X: Revealing the transcriptional heterogeneity of organ-specific metastasis in human gastric cancer using single-cell RNA Sequencing. Clin Transl Med. 12:e7302022. View Article : Google Scholar : PubMed/NCBI

195 

Honda M, Oki S, Kimura R, Harada A, Maehara K, Tanaka K, Meno C and Ohkawa Y: High-depth spatial transcriptome analysis by photo-isolation chemistry. Nat Commun. 12:44162021. View Article : Google Scholar : PubMed/NCBI

196 

Chen KH, Boettiger AN, Moffitt JR, Wang S and Zhuang X: RNA imaging. Spatially resolved, highly multiplexed RNA profiling in single cells. Science. 348:aaa60902015. View Article : Google Scholar : PubMed/NCBI

197 

Kishi JY, Lapan SW, Beliveau BJ, West ER, Zhu A, Sasaki HM, Saka SK, Wang Y, Cepko CL and Yin P: SABER amplifies FISH: Enhanced multiplexed imaging of RNA and DNA in cells and tissues. Nat Methods. 16:533–544. 2019. View Article : Google Scholar : PubMed/NCBI

198 

Ke R, Mignardi M, Pacureanu A, Svedlund J, Botling J, Wählby C and Nilsson M: In situ sequencing for RNA analysis in preserved tissue and cells. Nat Methods. 10:857–860. 2013. View Article : Google Scholar : PubMed/NCBI

Related Articles

  • Abstract
  • View
  • Download
  • Twitter
Copy and paste a formatted citation
Spandidos Publications style
Ren L, Huang D, Liu H, Ning L, Cai P, Yu X, Zhang Y, Luo N, Lin H, Su J, Su J, et al: Applications of single‑cell omics and spatial transcriptomics technologies in gastric cancer (Review). Oncol Lett 27: 152, 2024.
APA
Ren, L., Huang, D., Liu, H., Ning, L., Cai, P., Yu, X. ... Zhang, Y. (2024). Applications of single‑cell omics and spatial transcriptomics technologies in gastric cancer (Review). Oncology Letters, 27, 152. https://doi.org/10.3892/ol.2024.14285
MLA
Ren, L., Huang, D., Liu, H., Ning, L., Cai, P., Yu, X., Zhang, Y., Luo, N., Lin, H., Su, J., Zhang, Y."Applications of single‑cell omics and spatial transcriptomics technologies in gastric cancer (Review)". Oncology Letters 27.4 (2024): 152.
Chicago
Ren, L., Huang, D., Liu, H., Ning, L., Cai, P., Yu, X., Zhang, Y., Luo, N., Lin, H., Su, J., Zhang, Y."Applications of single‑cell omics and spatial transcriptomics technologies in gastric cancer (Review)". Oncology Letters 27, no. 4 (2024): 152. https://doi.org/10.3892/ol.2024.14285
Copy and paste a formatted citation
x
Spandidos Publications style
Ren L, Huang D, Liu H, Ning L, Cai P, Yu X, Zhang Y, Luo N, Lin H, Su J, Su J, et al: Applications of single‑cell omics and spatial transcriptomics technologies in gastric cancer (Review). Oncol Lett 27: 152, 2024.
APA
Ren, L., Huang, D., Liu, H., Ning, L., Cai, P., Yu, X. ... Zhang, Y. (2024). Applications of single‑cell omics and spatial transcriptomics technologies in gastric cancer (Review). Oncology Letters, 27, 152. https://doi.org/10.3892/ol.2024.14285
MLA
Ren, L., Huang, D., Liu, H., Ning, L., Cai, P., Yu, X., Zhang, Y., Luo, N., Lin, H., Su, J., Zhang, Y."Applications of single‑cell omics and spatial transcriptomics technologies in gastric cancer (Review)". Oncology Letters 27.4 (2024): 152.
Chicago
Ren, L., Huang, D., Liu, H., Ning, L., Cai, P., Yu, X., Zhang, Y., Luo, N., Lin, H., Su, J., Zhang, Y."Applications of single‑cell omics and spatial transcriptomics technologies in gastric cancer (Review)". Oncology Letters 27, no. 4 (2024): 152. https://doi.org/10.3892/ol.2024.14285
Follow us
  • Twitter
  • LinkedIn
  • Facebook
About
  • Spandidos Publications
  • Careers
  • Cookie Policy
  • Privacy Policy
How can we help?
  • Help
  • Live Chat
  • Contact
  • Email to our Support Team