
Siddhartha Jaiswal
@jaiswalmdphd
Physician scientist @StanfordMed @StanfordPath studying clonal hematopoiesis in aging
ID: 877317845725663232
https://www.jaiswallab.org 21-06-2017 00:10:49
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Out today in Nature Genetics, our work utilizing single-cell multi-omics to define specific immune cell subsets that experience purifying selection against pathogenic mitochondrial DNA. nature.com/articles/s4158⦠Check out a thread about this work below: 1/22

Our commentary from the Jennifer Trowbridge and Ross Levine Lab on the latest clonal hematopoiesis (CH) associated condition š§ and it's implications for the study of CH and other aging associated diseasesš Congrats to Siddhartha Jaiswal and colleagues!


Shaneice Mitchell (Shaneice Mitchell) from theĀ Siddhartha JaiswalĀ labĀ Stanford UniversityĀ is up now to present about utilizing tractable human macrophage models to investigate pathogenic features of clonal hematopoiesis.


Age-related mutations that raise the risk for blood disease also protect against brain disease! Learn how Siddhartha Jaiswal and team made this surprising discovery that challenges traditional thinking in this new study funded in part by our Initiative: neuroscience.stanford.edu/news/blood-celā¦

Our latest work, led by Philipp Rauch and Jk Gopakumar in collaboration with Ben Ebert, Peter Libby, and others, on mouse models of atherosclerosis with loss of Tet2 or Dnmt3a! Really fortunate to be able to work with such a talented group. rdcu.be/dlcy1

RESEARCH|Philipp Rauch Jk Gopakumar et al. show loss-of-function mutations in either #Dnmt3a or Tet2 lead to accelerated #atherosclerosis and concordant #macrophage phenotypes Siddhartha Jaiswal Dana-Farber Stanford Medicine| nature.com/articles/s4416⦠šrdcu.be/dlYw9



Excited to share our review article in Blood Journal on the Causes and Consequences of Clonal Hematopoeisis This was fun to write. Hope it summarizes the state of the field to date. As always, shout out to the š, Ben Ebert! ashpublications.org/blood/article/ā¦

Conceptually flawed paper from deCODE on #CH in Nature Genetics today TLDR: Different clones have distinct disease profiles so lumping distinct forms of CH together is uninformative. #CHIP is associated with CVD in both smokers and non-smokers in full UKB š§µnature.com/articles/s4158ā¦




Out in Nature Aging today, Tara Mack & Michael Raddatz identify epigenetic and proteomic signatures associated with #CHIP clonal expansion nature.com/articles/s4358ā¦



Thank you Chen Weng, @jswlab, Vijay Sankaran for the feedback on our work. LeifLudwig and I agree that the ā-2ā filtering method that mitigates edge bias is a critical development for ReDeeM. Nevertheless, we stand by our original preprint, noting the following: 1/n