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single-cell analysis

Transcriptomic and multi-omic data spanning more than 10,000 samples helped map "immunogenomic" interactions that may inform treatment outcomes and targets.

Analyzing transcriptome data from more than 1,000 cells from 74 embryos, a Johns Hopkins University-led team found aneuploid cells in 80 percent of embryos.

Researchers saw similar cell hierarchies and progenitor cell clusters when comparing single-cell RNA sequencing data for cells from glioblastoma tumors and developing brains.

The firms plan to collaborate with others in the field of regenerative medicine and cell therapy to expedite commercialization of the system.

The company will apply its single-cell RNA-seq analytics technology to three distinct cohorts in pursuit of new drug targets for inflammatory bowel disease. 

A team of researchers in Germany investigated gene expression in airway cells of SARS-CoV-2 patients, finding increased interaction between epithelial and immune cells.

In PNAS this week: study of central nervous system inflammation roots, circulating immune cells in cancer reflect patient response to treatment, and more.

The Bay Area startup is offering a no-touch method to separate cell populations for downstream analysis in genomics and synthetic biology applications.

RNA-seq of ascites from ovarian cancer patients uncovered shared inflammatory programs and suggested a JAK/STAT pathway inhibitor has antitumor activity.

BioSkryb will now have an exclusive global license for clinical applications of primary template directed amplification technology.

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A survey by Nature finds that most researchers want scientific meetings to continue virtually or with a virtual component, even after the pandemic ends.

Bloomberg reports that the B.1.351 SARS-CoV-2 viral variant could prompt the formulation of better vaccines.

Certain blood proteins may be able to distinguish COVID-19 patients who will become critically ill from those who will not, the Atlanta Journal-Constitution reports.

In Genome Biology this week: algorithm to assess regulatory features, approach to integrate multiple single-cell RNA-seq datasets, and more.