https://www.sahulab.com/
Published today in Nature, the study suggests this could be a new way to stop breast cancer before it starts: urldefense.com/v3/__https:/...
Brilliant team science
Published today in Nature, the study suggests this could be a new way to stop breast cancer before it starts: urldefense.com/v3/__https:/...
Brilliant team science
academic.oup.com/nar/article/53/17/gkaf804/8248607
We built the first comprehensive atlas of dynamic allelic expression in the mouse mammary gland across adulthood, tracking genes across virgin, #pregnancy, #lactation & #involution.
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academic.oup.com/nar/article/53/17/gkaf804/8248607
We built the first comprehensive atlas of dynamic allelic expression in the mouse mammary gland across adulthood, tracking genes across virgin, #pregnancy, #lactation & #involution.
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Know more about our ongoing work www.sahulab.com
Know more about our ongoing work www.sahulab.com
🔗 www.nature.com/articles/s41...
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🔗 www.nature.com/articles/s41...
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Open Access
www.nature.com/articles/s43...
Open Access
www.nature.com/articles/s43...
@nature.com We used a humanized-mouse ES cell model to explore the functional consequences of all possible BRCA2 missense variants. We've clinically classified >6,500 variants and >1,200 reported in ClinVar! www.nature.com/articles/s41...
@nature.com We used a humanized-mouse ES cell model to explore the functional consequences of all possible BRCA2 missense variants. We've clinically classified >6,500 variants and >1,200 reported in ClinVar! www.nature.com/articles/s41...
#ReproSky 🧪
www.nature.com/articles/d41...
#ReproSky 🧪
www.nature.com/articles/d41...
Excited to share our work @science.org. led by our incredible @tommyz626.bsky.social at @rockefelleruniv.bsky.social! By profiling 21 million single cells across life stages, we reveal aging as distinct, development-like transitions, with dramatic cell population changes in specific time windows!
Excited to share our work @science.org. led by our incredible @tommyz626.bsky.social at @rockefelleruniv.bsky.social! By profiling 21 million single cells across life stages, we reveal aging as distinct, development-like transitions, with dramatic cell population changes in specific time windows!