Spatial transcriptomics is revolutionizing the study of tissue architecture, cellular states, and tumor-immune interactions in clinical specimens. This presentation introduces the principles and ...

This study presents DeepTX, a valuable methodological tool that integrates mechanistic stochastic models with single-cell RNA sequencing data to infer transcriptional burst kinetics at genome scale.

The single-cell genomics industry does not stop advancing, with a steady stream of new companies, kits, acquisitions, and more. One new company, ArgenTag, was founded in Argentina during the COVID-19 ...

This manuscript by Kaur et al. identifies differential gene expression in distinct cell populations, specifically myeloid and lymphoid cells, following short-term exposure to e-cigarette aerosols with ...

New simulator and computational tools generate realistic ‘virtual tissues’ and map cell-to-cell ‘conversations’ from spatial transcriptomics data, potentially accelerating AI-driven discoveries in ...

Abstract: Aging progresses unevenly across cells, making chronological age an incomplete measure of biological decline. Aging clocks, machine learning models trained on molecular features, offer a ...

We thank Christine F. Wogan (Division of Radiation Oncology, MD Anderson) for manuscript editing. The core facilities at MD Anderson (DNA Sequencing and Genetically Engineered Mouse Facility) were ...

Abstract: Single-cell RNA sequencing (scRNA-seq) has profoundly reshaped our understanding of cellular diversity and functionality; however, accurate cell-type annotation is required for biological ...

Background: Lung tissue exhibits intricate spatial organization and dynamic cellular interactions. However, the molecular mechanisms underlying pulmonary arterial hypertension (PAH) remain poorly ...

A comprehensive review article titled “Bioinformatics perspectives on transcriptomics: A comprehensive review of bulk and single-cell RNA sequencing analyses,” published in Quantitative Biology, ...