Selected Publications
Full list of publications on Google Scholar and PubMed
(*Contributed equally; ✉Corresponding author)
Epigenomic and transcriptomic analyses define core cell types, genes and targetable mechanisms for kidney disease. |
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Dnmt3a and Dnmt3b-Decommissioned Fetal Enhancers are Linked to Kidney Disease. |
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The MS-lincRNA landscape reveals a novel lincRNA BCLIN25 that contributes to tumorigenesis by upregulating ERBB2 expression via epigenetic modification and RNA–RNA interactions in breast cancer. |
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DiseaseMeth version 2.0: a major expansion and update of the human disease methylation database. |
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Systematic identification and annotation of human methylation marks based on bisulfite sequencing methylomes reveals distinct roles of cell type-specific hypomethylation in the regulation of cell identity genes. |
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SEA: a super-enhancer archive. |
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Long non-coding RNA identification over mouse brain development by integrative modeling of chromatin and genomic features. |
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DiseaseMeth: a human disease methylation database. |
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QDMR: a quantitative method for identification of differentially methylated regions by entropy. |
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HHMD: the human histone modification database. |
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ACSS2 gene variants determine kidney disease risk by controlling de novo lipogenesis in kidney tubules. |
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Transcriptome-and proteome-wide association studies nominate determinants of kidney function and damage. |
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DNA methylation markers for kidney function and progression of diabetic kidney disease. |
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Systematic integrated analysis of genetic and epigenetic variation in diabetic kidney disease. |
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Renal Histologic Analysis Provides Complementary Information to Kidney Function Measurement for Patients with Early Diabetic or Hypertensive Disease. |
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Single cell regulatory landscape of the mouse kidney highlights cellular differentiation programs and disease targets. |
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Mapping the genetic architecture of human traits to cell types in the kidney identifies mechanisms of disease and potential treatments. |