Orgo-Seq integrates single-cell and bulk transcriptomic data to identify cell type specific-driver genes associated with autism spectrum disorder

Nature·Jun 10

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Researchers have integrated single-cell and bulk transcriptomic data to identify cell type specific-driver genes associated with autism spectrum disorder. Similar approaches have been used to study other conditions, including als, alcohol use disorder, breast cancer, rheumatoid arthritis, and hepatocellular carcinoma. The integration of single-cell and bulk transcriptomic data appears to be a useful tool for understanding various diseases and identifying potential therapeutic targets.

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SIDISH integrates single-cell and bulk transcriptomics to identify high-risk cells and guide precision therapeutics through in silico perturbation

Nature·Dec 10

Integrated single-cell and spatial transcriptomic profiling in ALS uncovers peripheral-to-central immune infiltration and reprogramming

Nature·May 14

Bulk and single-cell transcriptomic brain data identify overlapping processes and cell-types with human AUD and mammalian models of alcohol use

Nature·Mar 27

Molecular cascades and cell type–specific signatures in ASD revealed by single-cell genomics

Science | AAAS·May 24

Identification of differentially expressed genes at the single-cell level and prognosis prediction through bulk RNA sequencing data in breast cancer

Frontiers·Feb 17

Transcriptomics and AI-driven approaches to the diagnosis and treatment of rheumatoid arthritis

Frontiers·Apr 6

Single cell spatial transcriptomics integration deciphers the morphological heterogeneity of atherosclerotic carotid arteries

Nature·Dec 18

Integration of single-cell and bulk RNA sequencing data to identify liquid–liquid phase separation-related prognostic biomarkers in hepatocellular carcinoma

Nature·Oct 21

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