Researchers at Northwestern University Feinberg School of Medicine have developed a new technique for accurately identifying individual cells in single-cell RNA sequencing, enhancing data precision for gene expression studies. Other advancements in cancer research include leveraging high-resolution spatial technologies to identify unique tumor cell characteristics and immune microenvironments. Michael Birnbaum at MIT aims to improve T cell therapies for cancer and other diseases by designing tools to analyze immune cells and their targets. Additionally, a new cell state identification method called scClassify2 effectively distinguishes adjacent cell states based on gene expression profiles, offering insights into cell-cell interactions and potential therapy approaches.
I particularly like this paper: Demonstrating (1) The power of perturbing a cell-subset to understand the cell-cell interactions in the TME. (2) Using mouse derived signatures to query human clinical data and (3) Using gene programs to suggest combinatorial therapy approaches. https://t.co/mLp2LRLwBz
scClassify2, a cell state identification method based on log-ratio values of gene expression, a message passing framework with dual-layer architecture and ordinal regression. scClassify2 effectively distinguishes adjacent cell states with similar gene expression profiles.
By designing new tools that can analyze huge libraries of immune cells and their targets, Michael Birnbaum hopes to generate better T cell therapies for cancer and other diseases. https://t.co/umYQuUJbDp https://t.co/z9yg0phd6o
Last chance! On 6/28, we present results leveraging high-resolution spatial technologies to identify the unique tumor cell characteristics and corresponding immune microenvironments. REGISTER: https://t.co/418EXK6uKp @CanopyBio #CancerResearch #FlowCytometry #Immunology https://t.co/7DM1DmjGqU
Researchers at @NUFeinbergMed have developed a new technique for accurately identifying individual cells in #singlecell #RNAsequencing, improving data precision and advancing #geneexpression studies. https://t.co/JJkFeJbKq6