Single-Cell Analysis – News and Features

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.

In a study of identical twins, researchers have shown that a type of immune cell, CD8-positive T cells, plays a role in the early stages of the disease.

Single-cell RNA-seq datasets could lead to privacy violations through "linking attacks," where hackers can identify individuals' genetic and phenotypic information. This study highlights the need for stricter consent policies.

Brown University scientists present a new mass spectrometry technology that overcomes a major limitation of electrospray ionization (ESI) – sample loss.

Researchers used single-cell RNA sequencing in human datasets to understand more about differences in how male and female immune systems respond to tumors.

Single-cell analysis offers a unique perspective of the genetic and molecular features of individual cells. In this article, two early adopters of single-cell analysis technologies highlight some of the latest advances and new applications.

This article examines how next-generation sequencing and state-of-the-art imaging technologies are being combined to characterize and map the spatial organization of cell types in tissues.

Researchers developed Spacia, a computer model that improves detection of cell-to-cell communication (CCC) using spatially resolved transcriptomics data. Spacia, which uses multi-instance learning, provides deeper insights into diseases.

A study reveals that aberrant activation of the MYC oncoprotein drives significant changes in the prostate cancer microenvironment. Researchers found MYC's role in transforming the tissue from inflammatory to immunosuppressive.

For the first time, researchers have developed a spatiotemporal map of malaria infection in the liver, a key site for vaccine targeting.