Jingyu Lin
Biographic Data
| ID | 7970136 |
|---|---|
| NAME | Jingyu Lin |
| GIVEN NAMES | Jingyu |
| FAMILY NAME | Lin |
| SIGNATURE | LIN J |
| AFFILIATIONS | Peking University |
| ORCID | 0000-0001-6215-3211 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Proteome-wide Mendelian randomization and colocalization analyses identify potential biomarkers for schizophrenia
This large-scale MR study provides robust evidence supporting causal roles for specific plasma proteins in SCZ pathogenesis, highlighting promising candidates for mechanistic studies and therapeutic development
Complex regional telecoupling between people and nature revealed via quantification of trans‐boundary ecosystem service flows
Quantifying and mapping trans‐boundary ecosystem service (ES) flows can help identify dependencies and responsibilities for promoting economic development and environmental sustainability between nations, but few studies have focused on ES flows beyond national boundaries. Our case‐study region—Central Asia—hosts one of the largest dryland areas in the world, and this ecosystem is vulnerable to climate variability and anthropogenic impacts. Under…
Weighted Gene Coexpression Network Analysis Reveals Essential Genes and Pathways in Bipolar Disorder
Bipolar disorder (BD) is a major and highly heritable mental illness with severe psychosocial impairment, but its etiology and pathogenesis remains unclear. This study aimed to identify the essential pathways and genes involved in BD using weighted gene coexpression network analysis (WGCNA), a bioinformatic method studying the relationships between genes and phenotypes. Using two available BD gene expression datasets (GSE5388, GSE5389), we constr…
Identification of Key Genes and the Pathophysiology Associated With Major Depressive Disorder Patients Based on Integrated Bioinformatics Analysis
Background: At present, laboratory blood tests to support major depressive disorder (MDD) diagnosis are not available. This study aimed to screen potential mRNAs for peripheral blood biomarkers and novel pathophysiology of MDD. Methods: The present study utilized public data from two mRNA microarray datasets to analyze the hub genes changes related to MDD. Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway anal…
No prominent works on this page.
Identification of Key Genes and the Pathophysiology Associated With Major Depressive Disorder Patients Based on Integrated Bioinformatics Analysis
Background: At present, laboratory blood tests to support major depressive disorder (MDD) diagnosis are not available. This study aimed to screen potential mRNAs for peripheral blood biomarkers and novel pathophysiology of MDD. Methods: The present study utilized public data from two mRNA microarray datasets to analyze the hub genes changes related to MDD. Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway anal…
Weighted Gene Coexpression Network Analysis Reveals Essential Genes and Pathways in Bipolar Disorder
Bipolar disorder (BD) is a major and highly heritable mental illness with severe psychosocial impairment, but its etiology and pathogenesis remains unclear. This study aimed to identify the essential pathways and genes involved in BD using weighted gene coexpression network analysis (WGCNA), a bioinformatic method studying the relationships between genes and phenotypes. Using two available BD gene expression datasets (GSE5388, GSE5389), we constr…
Complex regional telecoupling between people and nature revealed via quantification of trans‐boundary ecosystem service flows
Quantifying and mapping trans‐boundary ecosystem service (ES) flows can help identify dependencies and responsibilities for promoting economic development and environmental sustainability between nations, but few studies have focused on ES flows beyond national boundaries. Our case‐study region—Central Asia—hosts one of the largest dryland areas in the world, and this ecosystem is vulnerable to climate variability and anthropogenic impacts. Under…
Proteome-wide Mendelian randomization and colocalization analyses identify potential biomarkers for schizophrenia
This large-scale MR study provides robust evidence supporting causal roles for specific plasma proteins in SCZ pathogenesis, highlighting promising candidates for mechanistic studies and therapeutic development
Biology (2 works) · Computational biology (2 works) · Gene (2 works) · Gene expression (2 works) · Genetic Associations and Epidemiology (2 works) · Genetics (2 works) · KEGG (2 works) · Tryptophan and brain disorders (2 works) · Agriculture (1 works) · Beneficiary (1 works)