|
1
|
Abreu SC, Lopes-pacheco M, da Silva AL,
Xisto DG, de Oliveira TB, Kitoko JZ, de Castro LL, Amorim NR,
Martins V, Silva LHA, et al: Eicosapentaenoic acid enhances the
effects of mesenchymal stromal cell therapy in experimental
allergic asthma. Front Immunol. 9:11472018. View Article : Google Scholar : PubMed/NCBI
|
|
2
|
Mejias SG and Ramphul K: Prevalence and
associated risk factors of bronchial asthma in children in santo
domingo, dominican republic. Cureus. 10:e22112018.PubMed/NCBI
|
|
3
|
Soriano JB, Abajobir AA, Abate KH, Abera
SF, Agrawal A, Ahmed MB, Aichour AN, Aichour I, Aichour MT, Alam K,
et al: Global, regional, and national deaths, prevalence,
disability-adjusted life years, and years lived with disability for
chronic obstructive pulmonary disease and asthma, 1990–2015: A
systematic analysis for the Global Burden of Disease Study 2015.
Lancet Respir Med. 5:691–706. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
4
|
de Castro LL, Xisto DG, Kitoko JZ, Cruz
FF, Olsen PC, Redondo PAG, Ferreira TPT, Weiss DJ, Martins MA,
Morales MM and Rocco PRM: Human adipose tissue mesenchymal stromal
cells and their extracellular vesicles act differentially on lung
mechanics and inflammation in experimental allergic asthma. Stem
Cell Res Ther. 8:151–162. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
5
|
Ponting CP, Oliver PL and Reik W:
Evolution and functions of long noncoding RNAs. Cell. 136:629–641.
2009. View Article : Google Scholar : PubMed/NCBI
|
|
6
|
Mercer TR, Dinger ME and Mattick JS: Long
non-coding RNAs: Insights into functions. Nat Rev Genet.
10:155–159. 2009. View
Article : Google Scholar : PubMed/NCBI
|
|
7
|
Zhang ZK, Li J, Guan D, Liang C, Zhuo Z,
Liu J, Lu A, Zhang G and Zhang BT: A newly identified lncRNA MAR1
acts as a miR-487b sponge to promote skeletal muscle
differentiation and regeneration. J Cachexia Sarcopenia Muscle.
9:613–626. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
8
|
Li XQ, Ren ZX, Li K, Huang JJ, Huang ZT,
Zhou TR, Cao HY, Zhang FX and Tan B: Key Anti-fibrosis associated
long noncoding RNAs identified in human hepatic stellate cell via
transcriptome sequencing analysis. Int J Mol Sci. 19:E6752018.
View Article : Google Scholar : PubMed/NCBI
|
|
9
|
Yan B, Liu JY, Yao J, Li XM, Wang XQ, Li
YJ, Tao ZF, Song YC, Chen Q and Jiang Q: lncRNA-MIAT regulates
microvascular dysfunction by functioning as a competing endogenous
RNA. Circ Res. 116:1143–1156. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
10
|
Wang K, Liu CY, Zhou LY, Wang JX, Wang M,
Zhao B, Zhao WK, Xu SJ, Fan LH, Zhang XJ, et al: APF lncRNA
regulates autophagy and myocardial infarction by targeting
miR-188-3p. Nat Commun. 6:67792015. View Article : Google Scholar : PubMed/NCBI
|
|
11
|
Xing Z, Park PK, Lin C and Yang L: LncRNA
BCAR4 wires up signaling transduction in breast cancer. RNA Biol.
12:681–689. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
12
|
Gao JR, Qin XJ, Jiang H, Gao YC, Guo MF
and Jiang NN: Potential role of lncRNAs in contributing to
pathogenesis of chronic glomerulonephritis based on microarray
data. Gene. 643:46–54. 2018. View Article : Google Scholar : PubMed/NCBI
|
|
13
|
Barrett T, Wilhite SE, Ledoux P,
Evangelista C, Kim IF, Tomashevsky M, Marshall KA, Phillippy KH,
Sherman PM, Holko M, et al: NCBI GEO: Archive for functional
genomics data sets-update. Nucleic Acids Res 41 (Database).
D991–D995. 2013.
|
|
14
|
Sharma M, Batra J, Mabalirajan U, Sharma
S, Nagarkatti R, Aich J, Sharma SK, Niphadkar PV and Ghosh B: A
genetic variation in inositol polyphosphate 4 phosphatase a
enhances susceptibility to asthma. Am J Respir Crit Care Med.
177:712–719. 2008. View Article : Google Scholar : PubMed/NCBI
|
|
15
|
Christenson SA, Steiling K, van den Berge
M, Hijazi K, Hiemstra PS, Postma DS, Lenburg ME, Spira A and
Woodruff PG: Asthma-COPD overlap. Clinical relevance of genomic
signatures of type 2 inflammation in chronic obstructive pulmonary
disease. Am J Respir Crit Care Med. 191:758–766. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
16
|
Christenson SA, Steiling K, van den Berge
M, Hijazi K, Hiemstra PS, Postma DS, Lenburg ME, Spira A and
Woodruff PG: Asthma-COPD Overlap: Clinical Relevance of Genomic
Signatures of Type 2 Inflammation in COPD. Am J Respir Crit Care
Med. 191:758–766. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
17
|
Zhang XQ, Sun S, Pu JK, Tsang AC, Lee D,
Man VO, Lui WM, Wong ST and Leung GK: Long non-coding RNA
expression profiles predict clinical phenotypes in glioma.
Neurobiol Dis. 48:1–8. 2012. View Article : Google Scholar : PubMed/NCBI
|
|
18
|
Yu C, Ni HJ, Zhao YC, Chen K, Li M, Li C,
Zhu XD and Fu Q: Potential role of lncRNAs in contributing to
pathogenesis of intervertebral disc degeneration based on
microarray data. Med Sci Monit. 21:3449–3458. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
19
|
Luchessi AD, Silbiger VN, Hirata RD,
Lima-Neto LG, Cavichioli D, Iñiguez A, Bravo M, Bastos G, Sousa AG,
Brión M, et al: Pharmacogenomics of anti-platelet therapy focused
on peripheral blood cells of coronary arterial disease patients.
Clin Chim Acta. 425:9–17. 2013. View Article : Google Scholar : PubMed/NCBI
|
|
20
|
Xing ZH, Chu C, Chen L and Kong XY: The
use of Gene Ontology terms and KEGG pathways for analysis and
prediction of oncogenes. Biochim Biophys Acta. 1860:2725–2734.
2016. View Article : Google Scholar : PubMed/NCBI
|
|
21
|
Maere S, Heymans K and Kuiper M: BiNGO: A
Cytoscape plugin to assess overrepresentation of Gene Ontology
categories in Biological Networks. Bioinformatics. 21:3448–3449.
2005. View Article : Google Scholar : PubMed/NCBI
|
|
22
|
Huang da W, Sherman BT and Lempicki RA:
Systematic and integrative analysis of large gene lists using DAVID
bioinformatics resources. Nat Protoc. 4:44–57. 2009. View Article : Google Scholar : PubMed/NCBI
|
|
23
|
Huang DW, Sherman BT and Lempicki RA:
Bioinformatics enrichment tools: Paths toward the comprehensive
functional analysis of large gene lists. Nucleic Acids Res.
37:1–13. 2009. View Article : Google Scholar : PubMed/NCBI
|
|
24
|
von Mering C, Jensen LJ, Snel B, Hooper
SD, Krupp M, Foglierini M, Jouffre N, Huynen MA and Bork P: STRING:
Known and predicted protein-protein associations, integrated and
transferred across organisms. Nucleic Acids Res. 33:D433–D437.
2005. View Article : Google Scholar : PubMed/NCBI
|
|
25
|
Cuesta-Astroz Y, Santos A, Oliveira G and
Jensen LJ: Analysis of predicted host-parasite interactomes reveals
commonalities and specificities related to parasitic lifestyle and
tissues tropism. Front Immunol. 10:2122019. View Article : Google Scholar : PubMed/NCBI
|
|
26
|
Wang Y, Ruan Z, Yu S, Tian T, Liang X,
Jing L, Li W, Wang X, Xiang L, Claret FX, et al: A four-methylated
mRNA signature-based risk score system predicts survival in
patients with hepatocellular carcinoma. Aging (Albany NY).
11:160–173. 2019. View Article : Google Scholar : PubMed/NCBI
|
|
27
|
Safari-Alighiarloo N, Taghizadeh M,
Tabatabaei SM, Shahsavari S, Namaki S, Khodakarim S and
Rezaei-Tavirani M: Identification of new key genes for type 1
diabetes through construction and analysis of protein–protein
interaction networks based on blood and pancreatic islet
transcriptomes. J Diabetes. 9:764–777. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
28
|
Le DH and Pham VH: HGPEC: A Cytoscape app
for prediction of novel disease-gene and disease-disease
associations and evidence collection based on a random walk on
heterogeneous network. Bmc Syst Biol. 11:612017. View Article : Google Scholar : PubMed/NCBI
|
|
29
|
Langfelder P and Horvath S: WGCNA: An R
package for weighted correlation network analysis. Bmc
Bioinformatics. 9:5592008. View Article : Google Scholar : PubMed/NCBI
|
|
30
|
Zhang B and Horvath S: A general framework
for weighted gene co-expression network analysis. Stat Appl Genet
Mol Biol. 4:Article 17. 2005. View Article : Google Scholar : PubMed/NCBI
|
|
31
|
Dudoit S and Fridlyand J: A
prediction-based resampling method for estimating the number of
clusters in a dataset. Genome Biol. 3:RESEARCH00362002. View Article : Google Scholar : PubMed/NCBI
|
|
32
|
Hsin KY, Ghosh S and Kitano H: Combining
machine learning systems and multiple docking simulation packages
to improve docking prediction reliability for network pharmacology.
PLoS One. 8:e839222013. View Article : Google Scholar : PubMed/NCBI
|
|
33
|
Langfelder P and Horvath S: Eigengene
networks for studying the relationships between co-expression
modules. Bmc Syst Biol. 1:542007. View Article : Google Scholar : PubMed/NCBI
|
|
34
|
Zhao W, Langfelder P, Fuller T, Dong J, Li
A and Hovarth S: Weighted gene coexpression network analysis: State
of the art. J Biopharm Stat. 20:281–300. 2010. View Article : Google Scholar : PubMed/NCBI
|
|
35
|
Wang SY, Fan XL, Yu QN, Deng MX, Sun YQ,
Gao WX, Li CL, Shi JB and Fu QL: The lncRNAs involved in mouse
airway allergic inflammation following induced pluripotent stem
cell-mesenchymal stem cell treatment. Stem Cell Res Ther. 8:22017.
View Article : Google Scholar : PubMed/NCBI
|
|
36
|
Zhang XY, Zhang LX, Tian CJ, Tang XY, Zhao
LM, Guo YL, Cheng DJ, Chen XL, Ma LJ and Chen ZC: LncRNAs BCYRN1
promoted the proliferation and migration of rat airway smooth
muscle cells in asthma via upregulating the expression of transient
receptor potential 1. Am J Transl Res. 8:3409–3418. 2016.PubMed/NCBI
|
|
37
|
Vrba L, Garbe JC, Stampfer MR and Futscher
BW: A lincRNA connected to cell mortality and
epigenetically-silenced in most common human cancers. Epigenetics.
10:1074–1083. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
38
|
Meng W, Cui W, Zhao L, Chi W, Cao H and
Wang B: Aberrant methylation and downregulation of ZNF667-AS1 and
ZNF667 promote the malignant progression of laryngeal squamous cell
carcinoma. J Biomed Sci. 26:132019. View Article : Google Scholar : PubMed/NCBI
|
|
39
|
Li JW, Kuang Y, Chen L and Wang JF: LncRNA
ZNF667-AS1 inhibits inflammatory response and promotes recovery of
spinal cord injury via suppressing JAK-STAT pathway. Eur Rev Med
Pharmacol Sci. 22:7614–7620. 2018.PubMed/NCBI
|
|
40
|
Zhao LP, Li RH, Han DM, Zhang XQ, Nian GX,
Wu MX, Feng Y, Zhang L and Sun ZG: Independent prognostic Factor of
low-expressed LncRNA ZNF667-AS1 for cervical cancer and inhibitory
function on the proliferation of cervical cancer. Eur Rev Med
Pharmacol Sci. 21:5353–5360. 2017.PubMed/NCBI
|
|
41
|
Vrba L and Futscher BW: Epigenetic
silencing of lncRNA MORT in 16 TCGA cancer types. F1000Res.
7:2112018. View Article : Google Scholar : PubMed/NCBI
|
|
42
|
Smith R: Is VEGF a potential therapeutic
target in asthma? Pneumologia. 63(194): 197–199. 2014.
|
|
43
|
Na HJ, Hwang JY, Lee KS, Choi YK, Choe J,
Kim JY, Moon HE, Kim KW, Koh GY, Lee H, et al: TRAIL negatively
regulates VEGF-induced angiogenesis via caspase-8-mediated
enzymatic and non-enzymatic functions. Angiogenesis. 17:179–194.
2014. View Article : Google Scholar : PubMed/NCBI
|
|
44
|
Lan N, Luo G, Yang X, Cheng Y, Zhang Y,
Wang X, Wang X, Xie T, Li G, Liu Z and Zhong N: 25-Hydroxyvitamin
D3-deficiency enhances oxidative stress and corticosteroid
resistance in severe asthma exacerbation. PLoS One. 9:e1115992014.
View Article : Google Scholar : PubMed/NCBI
|
|
45
|
Chung KF and Marwick JA: Molecular
mechanisms of oxidative stress in airways and lungs with reference
to asthma and chronic obstructive pulmonary disease. Ann N Y Acad
Sci. 1203:85–91. 2010. View Article : Google Scholar : PubMed/NCBI
|
|
46
|
Wu LC: Immunoglobulin E receptor signaling
and asthma. J Biol Chem. 286:32891–32897. 2011. View Article : Google Scholar : PubMed/NCBI
|
|
47
|
Gounni AS, Wellemans V, Yang J, Bellesort
F, Kassiri K, Gangloff S, Guenounou M, Halayko AJ, Hamid Q and
Lamkhioued B: Human airway smooth muscle cells express the high
affinity receptor for IgE (Fc epsilon RI): A critical role of Fc
epsilon RI in human airway smooth muscle cell function. J Immunol.
175:2613–2621. 2005. View Article : Google Scholar : PubMed/NCBI
|
|
48
|
Ho WE, Xu YJ, Xu F, Cheng C, Peh HY,
Tannenbaum SR, Wong WS and Ong CN: Metabolomics reveals altered
metabolic pathways in experimental asthma. Am J Resp Cell Mol.
48:204–211. 2013. View Article : Google Scholar
|
|
49
|
Xu W, Comhair SAA, Janocha AJ, Lara A,
Mavrakis LA, Bennett CD, Kalhan SC and Erzurum SC: Arginine
metabolic endotypes related to asthma severity. PLoS One.
12:e01830662017. View Article : Google Scholar : PubMed/NCBI
|
|
50
|
Xiao HT, Liao Z, Chen L and Tong RS: A
promising approach for asthma treatment by multiwayly modulating
toll-like receptors. Eur Rev Med Pharmacol Sci. 16:2088–2091.
2012.PubMed/NCBI
|
|
51
|
Bezemer GF, Sagar S, ven Bergenhenegouwen
J, Georgiou NA, Garssen J, Kraneveld AD and Folkerts G: Dual role
of Toll-like receptors in asthma and chronic obstructive pulmonary
disease. Pharmcol Rev. 64:337–358. 2012. View Article : Google Scholar
|
|
52
|
Xu J, Zhu YT, Wang GZ, Han D, Wu YY, Zhang
DX, Liu Y, Zhang YH, Xie XM, Li SJ, et al: The PPARγ agonist,
rosglitazone, attenuates airway inflammation and remodeling via
heme oxygenase-1 in murine model of asthma. Acta Pharmacol Sin.
36:171–178. 2015. View Article : Google Scholar : PubMed/NCBI
|
|
53
|
Ilmarinen P and Kankaanranta H: Eosinophil
apoptosis as a therapeutic target in allergic asthma. Basic Clin
Pharmacol Toxicol. 114:109–117. 2014. View Article : Google Scholar : PubMed/NCBI
|
|
54
|
Lin HY, Xu L, Xie SS, Yu F, Hu HY, Song XL
and Wang CH: Mesenchymal stem cells suppress lung inflammation and
airway remodeling in chronic asthma rat model via PI3K/Akt
signaling pathway. Int J Clin Exp Pathol. 8:8958–8967.
2015.PubMed/NCBI
|
|
55
|
Kung JT, Colognori D and Lee JT: Long
noncoding RNAs: Past, present, and future. Genetics. 193:651–669.
2013. View Article : Google Scholar : PubMed/NCBI
|
|
56
|
Huang KL, Li S, Mertins P, Cao S,
Gunawardena HP, Ruggles KV, Mani DR, Clauser KR, Tanioka M, Usary
J, et al: Proteogenomic integration reveals therapeutic targets in
breast cancer xenografts. Nat Commun. 8:148642017. View Article : Google Scholar : PubMed/NCBI
|
