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Transcriptomics

4 GoKawiil briefs on this topic

Study maps human fetal heart cell development disrupted by Trisomy 21

Researchers analyzed single-nucleus and spatial transcriptomic data from human embryonic and fetal heart tissue samples, obtained from terminated pregnancies under ethical approval from UK research bodies including Cambridge University Hospitals and the Human Developmental Biology Resource at UCL. The study aimed to characterize how heart cells normally develop and how this process is altered in fetuses with Trisomy 21 (Down syndrome).

Exposome researchers push to map environmental exposures for personalized medicine

Scientists studying the 'exposome'—the sum of environmental and lifestyle exposures a person accumulates—are developing tools to measure chemical, pollutant, dietary and infectious exposures alongside genetic data. The concept, coined by epidemiologist Christopher Wild in 2005, aims to quantify environmental risk factors with the same precision now possible for genomics. Researchers note that environmental exposures account for an estimated 70-90% of chronic disease risk.

PsychAD study maps single-cell gene activity in human brain across full lifespan

Researchers analyzed prefrontal cortex tissue from 284 neurotypical donors aged 0 to 97, drawn from the NIMH HBCC and Mount Sinai NIH Neurobiobank collections, to build a single-cell transcriptomic atlas. Donors were screened using neuropathology criteria such as CERAD and Braak scores to exclude Alzheimer's, Parkinson's, schizophrenia, bipolar disorder and cognitive impairment, and were grouped into developmental, young, middle and late adulthood categories.

Reference list details recent AI models for predicting cell behavior, not a new product launch

The provided text is a bibliography of academic papers and preprints on computational and AI-based approaches to modeling cells, including foundation models for single-cell biology, perturbation prediction, and optimal transport methods for tracking cellular dynamics. It compiles work from research groups building toward what scientists call a 'virtual cell'—computational systems that simulate how cells respond to genetic or chemical changes. No new announcement, product, or specific finding is presented; it is purely a citation list.