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2. iTRAQ‐Based Proteomics Suggests Ephb6 as a Potential Regulator of the ERK Pathway in the Prefrontal Cortex of Chronic Social Defeat Stress Model Mice
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3. Determination of Cerebrospinal Fluid Proteome Variations by Isobaric Labeling Coupled with Strong Cation-Exchange Chromatography and Tandem Mass Spectrometry
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4. Hypothalamic Proteomic Analysis Reveals Dysregulation of Glutamate Balance and Energy Metabolism in a Mouse Model of Chronic Mild Stress-Induced Depression
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5. Up-regulation of SIRT6 in the hippocampus induced rats with depression-like behavior via the block Akt/GSK3β signaling pathway
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6. NELL2 modulates cell proliferation and apoptosis via ERK pathway in the development of benign prostatic hyperplasia
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7. Identification of protein biomarkers in host cerebrospinal fluid for differential diagnosis of tuberculous meningitis and other meningitis
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8. Mass spectrometry-based proteomic techniques to identify cerebrospinal fluid biomarkers for diagnosing suspected central nervous system infections. A systematic review
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9. A united model for diagnosing pulmonary tuberculosis with random forest and artificial neural network
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10. Potential biomarkers for antidiastole of tuberculous and malignant pleural effusion by proteome analysis
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11. Laboratory Diagnosis of Central Nervous System Infection
    Taojun He et al, 2016, Current Infectious Disease Reports CrossRef
12. Recent insights intoMycobacterium tuberculosisthrough proteomics and implications for the clinic
    Deepa Bisht et al, 2019, Expert Review of Proteomics CrossRef
13. Prognostic signature of lung adenocarcinoma based on stem cell-related genes
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    Jianhua Chen et al, 2022, European Journal of Medical Research CrossRef
15. Label‐Free Quantitative Proteomics Identifies Novel Biomarkers for Distinguishing Tuberculosis Pleural Effusion from Malignant Pleural Effusion
    Liping Pan et al, 2020, PROTEOMICS – Clinical Applications CrossRef
16. Identification of a Novel Serum Biomarker for Tuberculosis Infection in Chinese HIV Patients by iTRAQ-Based Quantitative Proteomics
    Cong Chen et al, 2018, Frontiers in Microbiology CrossRef