Chengxiang Qiu (0000-0002-6346-8669)

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Chengxiang (CX) Qiu is a computational biologist specializing in single-cell transcriptomics and developmental biology. As a postdoctoral researcher in Jay Shendure’s lab at the University of Washington, CX focuses on analyzing single-cell RNA-seq and single-cell ATAC-seq data to explore gene expression dynamics and regulatory mechanisms across mouse development.

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University of Washington: Seattle, WA, US

2023-10-01 to present | Postdoctoral fellow (Genome Sciences)

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Chengxiang Qiu

https://orcid.org/0000-0002-6346-8669

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Biography

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Employment (3)

University of Washington: Seattle, WA, US

University of Pennsylvania: Philadelphia, PA, US

Institute of Automation Chinese Academy of Sciences: Beijing, Beijing, CN

Education and qualifications (3)

University of Washington: Seattle, WA, US

Peking University: Beijing, Beijing, CN

Beihang University: Beijing, CN

Works (50 of 51)

Retinoic acid induces human gastruloids with posterior embryo-like structures

Symbolic recording of signalling and cis-regulatory element activity to DNA

Meningioma transcriptomic landscape demonstrates novel subtypes with regional associated biology and patient outcome.

A single-cell time-lapse of mouse prenatal development from gastrula to birth

Single-cell, whole-embryo phenotyping of mammalian developmental disorders

Optimized single-nucleus transcriptional profiling by combinatorial indexing.

Embryo model completes gastrulation to neurulation and organogenesis

Systematic reconstruction of cellular trajectories across mouse embryogenesis

Genome-wide association studies identify the role of caspase-9 in kidney disease

Mapping the genetic architecture of human traits to cell types in the kidney identifies mechanisms of disease and potential treatments

Transcriptome-wide association analysis identifies DACH1 as a kidney disease risk gene that contributes to fibrosis

A continuous model of early mammalian development.

Kidney disease genetic risk variants alter lysosomal beta-mannosidase ( MANBA ) expression and disease severity

Systematic integrated analysis of genetic and epigenetic variation in diabetic kidney disease

Loss of IL-27Rα Results in Enhanced Tubulointerstitial Fibrosis Associated with Elevated Th17 Responses.

Phenome-wide association analysis suggests the APOL1 linked disease spectrum primarily drives kidney-specific pathways.

Target genes, variants, tissues and transcriptional pathways influencing human serum urate levels

Genome-Wide Association Study of Diabetic Kidney Disease Highlights Biology Involved in Glomerular Basement Membrane Collagen.

Genome-wide association meta-analyses and fine-mapping elucidate pathways influencing albuminuria

Mitochondrial Damage and Activation of the STING Pathway Lead to Renal Inflammation and Fibrosis.

Mapping eGFR loci to the renal transcriptome and phenome in the VA Million Veteran Program.

Functional methylome analysis of human diabetic kidney disease.

Kidney cytosine methylation changes improve renal function decline estimation in patients with diabetic kidney disease

A signature of circulating inflammatory proteins and development of end-stage renal disease in diabetes.

Trans-ethnic association study of blood pressure determinants in over 750,000 individuals.

Renal compartment-specific genetic variation analyses identify new pathways in chronic kidney disease.

Genomic integration of ERRγ-HNF1β regulates renal bioenergetics and prevents chronic kidney disease.

Cytosine methylation predicts renal function decline in American Indians.

Single-cell transcriptomics of the mouse kidney reveals potential cellular targets of kidney disease.

Jagged1/Notch2 Controls Kidney Fibrosis via Tfam-mediated Metabolic Reprogramming

Epigenome-wide association studies identify DNA methylation associated with kidney function.

Human Kidney Tubule-Specific Gene Expression Based Dissection of Chronic Kidney Disease Traits.

Increasing the level of peroxisome proliferator-activated receptor γ coactivator-1α in podocytes results in collapsing glomerulopathy.

Genetic-Variation-Driven Gene-Expression Changes Highlight Genes with Important Functions for Kidney Disease.

Transgenic expression of human APOL1 risk variants in podocytes induces kidney disease in mice.

A Large-Scale Analysis of the Relationship of Synonymous SNPs Changing MicroRNA Regulation with Functionality and Disease.

Genetic Effects on Fine-Grained Human Cortical Regionalization.

Drug-Path: a database for drug-induced pathways.

Epistatic interaction of BDNF and COMT on the frontostriatal system.

The impact of MIR137 on dorsolateral prefrontal-hippocampal functional connectivity in healthy subjects.

HMDD v2.0: a database for experimentally supported human microRNA and disease associations.

Genome-wide analysis of human SNPs at long intergenic noncoding RNAs.

LncRNADisease: a database for long-non-coding RNA-associated diseases.

Towards the understanding of microRNA and environmental factor interactions and their relationships to human diseases.

An upstream interacting context based framework for the computational inference of microRNA functions.

miR2Gene: pattern discovery of single gene, multiple genes, and pathways by enrichment analysis of their microRNA regulators.

miREnvironment database: providing a bridge for microRNAs, environmental factors and phenotypes.

The relationship between rational drug design and drug side effects.

Human microRNA oncogenes and tumor suppressors show significantly different biological patterns: from functions to targets.

microRNA evolution in a human transcription factor and microRNA regulatory network.

Peer review (2 reviews for 2 publications/grants)