Really clever approach to help understand the impact of broad copy number changes: Cancer aneuploidies are shaped primarily by effects on tumour fitness https://t.co/ivUKKcKDU6
Go cBioPortal ! Lots of new features for easy analytic access to cancer genomics, proteomics and more. Make your own discoveries on community-provided cancer data and analysis tools.
PUREE is a weakly supervised machine learning algorithm that can accurately infer tumor purity from bulk tumor gene expression data: https://t.co/2oTVZbzDCe @anders_js, @RevkovEgor
#Fluoxetine (#Prozac) changes so many genes in so many brain regions. Mechanism(s) of action are dizzyingly complex, but some promising themes emerge👇. Long-term collab with @meaneylab et al. Large integrative omics study heroically led by @braincrank_nr. @astar_gis#depression
To update the classification system for #colorectal#cancer, the team analysed 373,000 #singlecells from 141 #tumour samples collected frm 63 patients in SG, BE, S KR.
Read: https://t.co/odi4RB2Vg1
1 of the deadliest cancers with diverse etiological factors worldwide. We found unprecedented genomic diff. segregating distinctively across ethnicities & stressed the importance of differential disease biology & management in HCC across ethnicities.
https://t.co/urG7WXcqVg
Our recent preprint trying to explore the tricky question of “blood microbiome”! Great work by an amazing intern in the lab @cedriccstan guided by @minghao_chia https://t.co/ZnY3dGFns2
‼️ OUT TODAY @NatureGenet
📰 Single-cell and bulk transcriptome sequencing identifies two epithelial tumor cell states and refines the consensus molecular classification of colorectal cancer
��🏿🤝🧑🏼 @iaintan_mdphd @shyam_lab @astar_gis and colleagues
👇🏿
https://t.co/zhvwCeKeGl
Excited to share our new study and resource on tumor metabolism with @rohatgineha@astar_gis. Using tumor transcriptome deconvolution, we identify metabolic differences of cancer and stromal cells inside tumors. Some expected and unexpected findings ... https://t.co/PP80Qrj41B
Those signatures that were reported in that amazing 18k WGS analysis paper in Science yesterday? They can all be browsed on the amazing Signal resource portal! https://t.co/dUch3H9alQ. 😎
Collaboration with Sjoerd van Hagen, Sander Rodenburg and Elena Garcia Lara @TheHyveNL and Augustin Luna @canninl - more to come as CPTAC enters its next phase. Go proteomics in cancer profiling!
Excited that our paper is online! Highlights how pervasive lineage transition occurs at a transcriptomic level in T790M neg resistance, suggesting the potential for tissue-based integrative analysis to forecast resistance trajectories in EGFR M+ NSCLC. https://t.co/OBUF8vXdoU