RNA-Seq – News and Features

A study by Johns Hopkins researchers reveals that the parasite T. brucei, responsible for African sleeping sickness, uses host tissues to evade immune responses. The findings show that T. brucei generates diverse surface proteins in tissues.

Scientists at UC Davis discovered new gene expression clusters in the amygdala of humans and non-human primates, enhancing understanding of emotional disorders. This research may open pathways for developing targeted therapies for anxiety.

People who experience discrimination have more pro-inflammatory bacteria and gene activity in their gut microbiome than those who do not experience discrimination.

Researchers have shed new light on the role of p53 in the pathogenesis of ulcerative colitis, which is linked to an increased colon cancer risk.

At this year’s HUPO annual meeting, the 24th version of the Human Protein Atlas has launched. We interviewed the HPA's program director, Professor Mathias Uhlén, to learn about its new features.

In this interview, Dr. Jonathan Jacobs, who leads ATCC’s Sequencing & Bioinformatics Center, discusses how data provenance influences data integrity in scientific research and how a lack of standardization can lead to issues like data poisoning.

A study reveals a detailed atlas of prenatal human skin, uncovering how hair follicles form and the role of immune cells in scarless healing. This research could enhance regenerative medicine approaches.

Researchers found that NF-κB, a transcription factor, is essential for maintaining X chromosome inactivation in T cells, connecting immune activation to female genetic processes. The study enhances understanding of sex-biased immune responses.

Scientists created mini-brain models from LBD patients' stem cells, mimicking key disease features. Using these models, they screened nearly 1,300 FDA-approved drugs and identified four potential compounds to inhibit alpha-synuclein buildup.

Scientists developed NeoDisc, a computational pipeline that combines molecular and genetic analyses with artificial intelligence to identify effective neoantigens for personalized cancer vaccines.