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Adam Turner Profile
Adam Turner

@adamturner_01

Followers
280
Following
617
Media
1
Statuses
37

🇨🇦 Scientist at @GladstoneInst @UCSF Corces lab | Single cell multiomics of 🧠 and ❤️ | University of Ottawa Heart Institute, UVA | Hockey, baseball, soccer

San Francisco, CA
Joined March 2018
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@cathrine_sant
Cathrine Sant (Petersen)
8 months
CHOIR is now online @NatureGenet! CHOIR is a new clustering method for single-cell data that evaluates whether clusters represent statistically distinct cell populations. CHOIR scales to millions of cells and works with single-/multi-omic data of any type! https://t.co/EKg20yMygH
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@bowles_lab
Bowles Lab
1 year
Finally got this across the finish line! We made an isogenic panel of MAPT splicing mutation iPSCs that express high levels of endogenous 4R tau... ...and saw some cool stuff! 👇👇👇 https://t.co/2xHJFSx83v Big thanks to supporters @RCFNeuro @_BrightFocus @AFTDHope & @UKDRI!
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@rust_ruslan
Ruslan Rust
1 year
🚨Preprint: Stroke recovery is complex & involves major changes to all brain cell types. We dissect underlying molecular mechanisms in the repair phase 1 month post-stroke "A molecular brain atlas reveals cellular shifts during the repair phase of stroke" https://t.co/2tHNz00bno
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@adamturner_01
Adam Turner
2 years
Happy to share research from the Corces Lab (led by Shreya Menon and much help from the entire lab) on Multiomics and non coding genetic variants in Parkinson’s Disease #ADPD2024
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@cathrine_sant
Cathrine Sant (Petersen)
2 years
New preprint! So excited to present CHOIR, a new clustering method for single-cell data that evaluates whether clusters represent statistically distinct cell populations. CHOIR works with both single- and multi-omic data of any type. Check it out! https://t.co/DvWVFK9xI3
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@mike_nalls
Mike A. Nalls
2 years
Long time in the works, new multi-ancestry Parkinson's meta-GWAS. 12 potential novel risk loci, some analyses of heterogeneity across populations and fine-mapping for 6 known loci. Shout outs to all the collaborators! https://t.co/9pRS5AoM7d <- open access
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@clintomics
Clint Miller
2 years
Now out, our latest work on mapping molecular QTLs in coronary arteries from 138 ancestrally diverse individuals. Led by talented former postdoc @Chani__Bravo, we identify 2.1K eGenes, 1.6K sGenes and refine candidate CAD risk mechanisms. 1/n https://t.co/0IE1VgA4eZ @CellGenomics
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cell.com
Hodonsky et al. perform gene expression profiling and a multifaceted genetic analysis of gene regulation in coronary artery tissues from an ancestrally diverse patient cohort. This new resource...
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@clintomics
Clint Miller
2 years
Excited to finally share #MetaPlaq v1, an integrated atlas of human atherosclerosis containing ~118K cells from coronary and carotid arteries, now out in @CellReports. Very proud of talented PhD student Jose Verdezoto Mosquera who led this study. 1/n
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cell.com
The authors generate a comprehensive map of cell diversity in human atherosclerosis. This atlas provides insights into the heterogeneity of smooth muscle cells and their genetic contribution to...
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@clintomics
Clint Miller
2 years
Thrilled to share our latest on mapping new genetic risk loci for coronary artery calcification (CAC), now out @NatureGenet. A colossal effort, but fun collaboration with several groups led by @maryamkavousi, Pat Peyser, @Raj_MalhotraMD, @swvanderlaan
nature.com
Nature Genetics - Multi-ancestry genome-wide association meta-analysis identifies new risk loci for CAC. Functional evidence implicates candidate causal genes as regulators of smooth muscle...
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@adil__rasheed
Adil Rasheed
2 years
The #RasheedLab website is up & running! https://t.co/TrqVZ1TNro @ImmunologyAU If you love lipids, immune cells and want to join a team #onacholesteroll, we are currently recruiting postdoctoral fellows and a research manager/associate. Pls RT!
augusta.edu
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@generegulation
Gene Regulation
2 years
Noncanonical binding of transcription factors: time to revisit specificity? [review by Md. Abul Hassan Samee] https://t.co/2Avi7p7BV3 ▶️DNA shape recognition ▶️G-quadruplexes ▶️DNA sequence repeats ▶️Bispecific binding
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@ilibarra
Ignacio Ibarra
2 years
Presenting mubind, a new method at @fabian_theis lab to learn scATAC-seq using seq features and graph representations e.g. kNN-graphs for cell-cell communication. With it, we can learn motif features linked with local cell transitions #ISMBECCB2023 [1/3] https://t.co/n5wyWlcTSm
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@adamturner_01
Adam Turner
3 years
Yearly tradition for me in grad school
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@HaoYin20
Hao Yin
3 years
Vascular #SmoothMuscleCell dysfunction in #Neurodegeneration Vasculo-neuronal-inflammatory triad Hypercontractile VSMC ⏬Clearance receptors for Aβ Autoimmune-related SMC degeneration in #AlzheimersDisease Dr. Genevieve Hayes lab @FrontNeurosci 2022 https://t.co/TNliKrDiHN
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@clintomics
Clint Miller
3 years
Just in time for #ASHG22..check out our recent work to create an integrated single-cell atlas for atherosclerosis in humans, led by talented PhD student Jose Verdezoto Mosquera. Reach out if interested in joining our dynamic group!
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biorxiv.org
Atherosclerosis is a complex inflammatory process driven by plaque formation in the major elastic arteries and often leads to reduced blood flow, coronary artery disease (CAD), myocardial infarction...
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@Sput__Nik
Nicolas Barbera
3 years
The line-up for the @UVACPHG 's first annual "Hot Puns" event, featuring hot wings, 12 homemade(!) hot sauces from @Chani__Bravo, and too many science puns, including: HOTHOT Box Yum-manaka Factor FLOXED AND LOADED Receptor Tyrosine Cry-nase, and Cysteines Don't Fear the Reaper
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@zangcz
Chongzhi Zang
3 years
Very excited to share SELMA, a computational method we developed for ATAC-seq & DNase-seq bias estimation, recently published in @NatureComms spearheaded by @ShengenShawnHu w input from @zozolaki @liul_stoch_stat @guertinlab Ke Deng & Tingting Zhang
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@alicechenp
Alice Chen-Plotkin
3 years
Very excited to share this labor of love… and (hopefully) new therapeutic target for #Parkinsons GPNMB confers risk for Parkinson’s disease through interaction with α-synuclein
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science.org
Computational, cell biological, and human tissue-based studies establish GPNMB as a risk gene and therapeutic target for Parkinson’s disease.
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