computational biologist, mom of 3 girls, music and sports lover

Connecticut, USA
Joined July 2015
Important ‼️ This tweak to #CDC policy “Everyone in areas of substantial/high transmission should wear a mask, even if vaccinated”means any place indoors in the US - as cases are increasing EVERYWHERE - back to #MaskUp indoors – at New Haven, CT
#DeltaVariant surging in U.S. New data show Delta much more contagious than previous versions of #COVID19. Unvaccinated people: get vaccinated & mask until you do. Everyone in areas of substantial/high transmission should wear a mask, even if vaccinated. cdc.gov/coronavirus

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Our largest EVER transcriptomic study of #sarcoidosis patients is out! We learned so much from this high-quality data but the data is so rich that there is still so much more to do with the data to learn more for better treatment of Sarcoidosis. TBC... #GRADS #CureSarcoidosis
1/n Finally! Biggest ever RNAseq study of #sarcoidosis is out - reveals associations of distinct transcriptional programs with major phenotypic traits ➡️suggests distinct novel Sarcoidosis endotypes #GRADS #CureSarcoidosis #SarcBALRNAseq see thread below erj.ersjournals.com/content/…
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🙏 when I wrote the grant, even when we started recruitment, I never expected it to take that long - but when I looked at the data, I said 'it is so complicated, how will we finish?' but we did it #together and ➡️this will accelerate #Sarcoidosis research erj.ersjournals.com/content/…
9/n The greatest credit for #SarcBALRNAseq goes to shared co-first authors - Drs Vukmirovic & Yan - this was a Herculean effort - I feel fortunate and grateful to have worked (& keep working with both of them) 🙏 #sarcoidosis #teamscience #bigdata erj.ersjournals.com/content/…
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8/n # of authors #SarcBALRNAseq does not come close to # people deserving credit - collaborators from Yale, Pitt, Hopkins, Penn, Vanderbilt, NJH, Az, MUSC, UCSF, Hannover, #sarcoidosis patients, @nih_nhlbi - THANKS ALL #PeopleIlookUpTo #TeamScience atsjournals.org/doi/10.1513/…
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7/n All #SarcBALRNAseq data available on GEO database - GSE109516 - All analysis codes & results available on GitHub & online supplement #DataSharing #BigData. We hope to generate a #SarcoidAtlas data mining tool soon - stay tuned but for now check out yale-p2med.github.io/SARC_BA…
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6/n Sex in #SarcBALRNAseq Results ➡️ while 53% of participants were women - we did NOT find any significant effects of gender on gene expression related to #sarcoidosis traits. Surprising - worth a deeper dive! #NegativeResultsMatter #SABV erj.ersjournals.com/content/…
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5/n #SarcBALRNAseq Results ➡️ further study of gene modules suggested novel molecular endotypes of #sarcoidosis. 2nd cohort validated supervised & unsupervised results - Thanks Dr. Antje Prasse & team 🤝👏 #Collaboration #DataSharing erj.ersjournals.com/content/…
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4/n #SarcBALRNAseq Results ➡️ unsupervised analysis identified distinct modules of gene expression associated with distinct combinations of phenotypic traits, exposures, and geographic location in #Sarcoidosis - I think this is important erj.ersjournals.com/content/…
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4/n #SarcBALRNAseq Results ➡️ genes associated with race & disease severity in #sarcoidosis were enriched for aberrant lipid trafficking, arachidonic acid production, SCAP/SREBP control of lipid metabolism - need to validate, explore deeper erj.ersjournals.com/content/…
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3/n #SarcBALRNAseq Results ➡️ - In #Sarcoidosis TH1, TH17 transcriptional programs associate with hilar lymphadenopathy, TGFB1, MTOR signaling with parenchymal involvement, IL7 and IL2 airway involvement and so much more erj.ersjournals.com/content/…
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2/n This is the 1st key #Sarcoidosis paper of the @nih_nhlbi funded GRADS multicenter study (atsjournals.org/doi/10.1513/… >250 research bronchoscopies, extensive phenotyping, RNAseq, microbiome, virome) below are some of the #SarcBALRNAseq insights ➡️ doi.org/10.1183/13993003.029…
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⚡️ “first corresponding authored paper” xitter.cf/i/moments/877932488894…