Garg Lab (@garg_lab) header
Garg Lab (@garg_lab) profile picture

Garg Lab

@garg_lab

We study non-genetic mechanisms of cell-to-cell variation in cancer and development. Clinical practice in molecular diagnostics.

 Yale University
garglab.org
Joined March 2019
  • Tweets45
  • Following215
  • Followers172
5Media
Photo by Garg Lab (@garg_lab)Photo by Garg Lab (@garg_lab)Photo by Garg Lab (@garg_lab)Photo by Garg Lab (@garg_lab)Photo by Garg Lab (@garg_lab)
Congratulations to 3 physician-scientists at Yale for receiving research grants from @AmericanCancer! ▪️Mark Lee, MD, PhD @Yale_LabMed, a Yosemite-ACS Award ▪️Benjamin Lu, PhD, Clinician Scientist Development Grant ▪️Salil Garg, MD, PhD @garg_lab, a Discovery Boost Grant bit.ly/4sgqiht @SmilowCancer @YaleMed @YNHH
Image from Yale Cancer Center (@YaleCancer)
4
25
1,543
Deeply honored for our laboratory to receive a NIH Director's New Innovator Award from @NIH_CommonFund. Delighted to see what we can learn about the origins of heterogeneity in cell systems over the coming years! #NIHHighRisk
Image from Garg Lab (@garg_lab)
9
2
2
52
4,474
Congratulations to Dr. Timothy Robinson, @kenleonloh, @garg_lab, and @MonicaValero16, recipients of 2024 ACS-IRG Pilot Grants. @SmilowCancer @YaleMed @YNHH @americancancer
Image from Yale Cancer Center (@YaleCancer)
1
3
26
2,347
Lab Med had a wonderful visit with Heidi @Yale PD's service dog 🐕‍🦺 Big thanks to Heidi's handler Officer Rich Simons who was eager to share Heidi with us! Check out our #SmilesForMiles😃 Go fetch Heidi & Officer Simons by following #OfcHeidi_YalePd on Instagram.
Image from YSM Department of Laboratory Medicine (@Yale_LabMed)
Image from YSM Department of Laboratory Medicine (@Yale_LabMed)
Image from YSM Department of Laboratory Medicine (@Yale_LabMed)
Image from YSM Department of Laboratory Medicine (@Yale_LabMed)
4
15
1,230
Our Genetics, Genomics, and Epigenetics Program welcomes Dr. Salil Garg @garg_lab, as Assistant Professor of Laboratory Medicine and Pathology. @Yale_LabMed @yalepathology @SmilowCancer @YaleMed @YNHH
Image from Yale Cancer Center (@YaleCancer)
2
11
1,349
Very honored to receive a Charles Hood Foundation Child Health Award! We will be working on discovering the developmental origins of pediatric tumors, and using this information for diagnosis. charleshoodfoundation.org/po…
1
9
853
In the November issue— Developmental Deconvolution for Classification of Cancer Origin, by Moiso, @garg_lab et al. bit.ly/3AjLpHN @MIT @kochinstitute @broadinstitute @MGHPathology #cancerofunknownprimary
Image from Cancer Discovery (@CD_AACR)
5
9
Interested in non-genetic heterogeneity in development and cancer? Garg lab (garglab.org) is recruiting at multiple academic levels! (please RT) @Yale_LabMed @YaleRNA Postdoctoral associate info here: postdocs.yale.edu/postdoctor…
13
16
Happy to share our latest, online @MolecularCell. In order to form different cell types, stem cell systems need to drive cell-to-cell variation in gene expression. But do the instructions always come from outside the cell, or can they be self-encoded? If so, how? (1/10)
Molecular Cell (@MolecularCell) profile pictureMolecular Cell@MolecularCell9 Nov 2022
Online Now: Transcription factor antagonism regulates heterogeneity in embryonic stem cell states dlvr.it/ScVpLB
2
24
5
63
more replies
Many, many open questions, including how transcription factors and enhancer RNA interact, how the same factor can have activating or repressing effects depending on context, and how the system is wired together to allow particular cell states and disallow others. (9/10)
2
1
3
The work was led by @HarvardMITmdphd student Sofia Hu working alongside many other members of @garg_lab and a great team, including collaborators Abhyudai Singh, Jacqueline Lees, and @DigbijayMahat. @YaleRNA, @Yale_LabMed (10/10)
1
6
Also want to (belatedly) share this piece on our work from Bendta Schroeder @kochinstitute and @MIT news: news.mit.edu/2022/using-mach… Bendta explains the findings more clearly than I could:

Using machine learning to identify undiagnosable cancers

A machine learning model maps developmental pathways to tumor cells to help diagnose cancers of unknown primary. The work was led by Salil Garg and colleagues from MIT’s Koch Institute and Massachu...

news.mit.edu
1
6
Love this commentary piece on our recent study by @IamLinghua @MDAndersonNews in @CD_AACR: doi.org/10.1158/2159-8290.CD… Lays out the future challenges and opportunities really well!
Developmental Deconvolution Suggests New Tumor Biology and a Tool for Predicting Cancer Origin

Developmental Deconvolution Suggests New Tumor Biology and a Tool for Predicting Cancer Origin

Summary:. Defining the developmental origins of cancer can help uncover cellular mechanisms of cancer development and progression and identify effective treatments, but it has been challenging. In...

aacrjournals.org
1
5
18
Load more