Ashlyn Anderson (@ashlyn_anderso) 's Twitter Profile
Ashlyn Anderson

@ashlyn_anderso

PhD student @UAB_GBS | Cochran Lab @HudsonAlpha | gene regulation, neurogenomics

ID: 1299419726330892289

calendar_today28-08-2020 18:53:09

608 Tweet

158 Followers

568 Following

Eric Topol (@erictopol) 's Twitter Profile Photo

There are much more structural variants within our genomes than previously conceived, >26,000 per person nature.com/articles/s4158… nature.com/articles/s4158…

Cell Reports (@cellreports) 's Twitter Profile Photo

Single-cell multiomics reveals the oscillatory dynamics of mRNA metabolism and chromatin accessibility during the cell cycle dlvr.it/TMFRm2

Cell (@cellcellpress) 's Twitter Profile Photo

Now online! Single-cell multiregion epigenomic rewiring in Alzheimer’s disease progression and cognitive resilience dlvr.it/TMFTDz

Veera Rajagopal  (@doctorveera) 's Twitter Profile Photo

New risk genes for schizophrenia (STAG1 and ZNF136 plus 6 suggestive genes) based on a new exome-wide association study involving 4650 cases and 5719 controls combined with previously published results, totalling to 28,898 cases, 103,041 controls and 3444 proband-parent trios.

New risk genes for schizophrenia (STAG1 and ZNF136 plus 6 suggestive genes) based on a new exome-wide association study involving 4650 cases and 5719 controls combined with previously published results, totalling to 28,898 cases, 103,041 controls and 3444 proband-parent trios.
Thomas Norman (@thenormanlab) 's Twitter Profile Photo

Our paper is now out in final form at Nature Genetics! For those who missed the preprint, we used large-scale Perturb-seq targeting transcription factors to push primary fibroblasts into diverse transcriptional states, including those observed in cell atlas studies.

Our paper is now out in final form at Nature Genetics! For those who missed the preprint, we used large-scale Perturb-seq targeting transcription factors to push primary fibroblasts into diverse transcriptional states, including those observed in cell atlas studies.
Eric Topol (@erictopol) 's Twitter Profile Photo

New nature The possibility that lithium deficiency is a driver of Alzheimer's disease. Experimental model shows Li depletion impedes amyloid clearance, and repletion in humans could be achieved with low doses nature.com/articles/s4158…

Robin Hofmeister (@rbn_hfmstr) 's Twitter Profile Photo

🚨 Our parent-of-origin study is out in nature ! 🧬 Maternal and paternal alleles can have distinct — even opposite — effects on human traits, revealing a hidden layer of genetic architecture that standard GWAS miss. 🔗nature.com/articles/s4158… Highlights below!

bioRxiv Genomics (@biorxiv_genomic) 's Twitter Profile Photo

Single Cell Multiomics Across Nine Mammals Reveals Cell Type Specific Regulatory Conservation in the Brain biorxiv.org/content/10.110… #biorxiv_genomic

Nick Cochran, PhD (@jnickcochran) 's Twitter Profile Photo

Ever wonder how the genome of human brains compares with macaque, marmoset, mouse, rat, cat, rabbit, horse, and cow? Wonder no longer! Check out a really cool pre-print from my very talented graduate student Ashlyn Anderson on multiomics across mammals: biorxiv.org/content/10.110…

Schübeler Lab (@schubelerlab) 's Twitter Profile Photo

Excited to share our latest preprint. biorxiv.org/content/10.110…. Lead by Lukas, we investigated multiple ways of assessing a TF's sensitivity to chromatin based on genome-wide binding profiles. The developed methods allowed us to quantify chromatin sensitivity across tested TFs.

Javier Santoyo (@jsantoyo) 's Twitter Profile Photo

A complete and near-perfect rhesus macaque reference genome: lessons from subtelomeric repeats and sequencing bias. #RhesusMacaque #ReferenceGenome #T2T #Genomics bioRxiv Genomics biorxiv.org/content/10.110…

A complete and near-perfect rhesus macaque reference genome: lessons from subtelomeric repeats and sequencing bias. #RhesusMacaque #ReferenceGenome #T2T #Genomics <a href="/biorxiv_genomic/">bioRxiv Genomics</a> 
biorxiv.org/content/10.110…
Yun S. Song (@yun_s_song) 's Twitter Profile Photo

We are excited to share GPN-Star, a cost-effective, biologically grounded genomic language modeling framework that achieves state-of-the-art performance across a wide range of variant effect prediction tasks relevant to human genetics. biorxiv.org/content/10.110… (1/n)

We are excited to share GPN-Star, a cost-effective, biologically grounded genomic language modeling framework that achieves state-of-the-art performance across a wide range of variant effect prediction tasks relevant to human genetics.
biorxiv.org/content/10.110…
(1/n)
Anshul Kundaje (anshulkundaje@bluesky) (@anshulkundaje) 's Twitter Profile Photo

This is truly an incredible breakthrough IMO. Really exemplifies what you get when deep domain expertise (population/disease genetics in this case) fuses with cleverly crafted ML. What u get r sleek, well thought out architectures that absolutely destroy the behemoths. Wow!! 1/

Simon Maechling (@simonmaechling) 's Twitter Profile Photo

Huntington’s disease is brutal. A single DNA error → toxic protein → dead brain cells. No cure. Always fatal. Always inherited. But now? Science has flipped the script. How the new gene therapy works: 1️⃣ Huntington’s mutation makes a toxic protein that kills neurons. 2️⃣

Huntington’s disease is brutal.

A single DNA error → toxic protein → dead brain cells.
No cure. Always fatal. Always inherited.

But now? Science has flipped the script.
How the new gene therapy works:

1️⃣ Huntington’s mutation makes a toxic protein that kills neurons.

2️⃣
Inigo Martincorena (@imartincorena) 's Twitter Profile Photo

Our latest work is out in Nature today. In this paper, we introduce an improved version of NanoSeq, a duplex sequencing protocol with <5 errors per billion bp in single DNA molecules, and use it to study the oral somatic mutation landscape in >1000 people. nature.com/articles/s4158…

Joseph G. Gleeson (@jogleeson_ucsd) 's Twitter Profile Photo

New preprint showing human brain organoids from our library of patient #IPSCs modeling neurodevelopmental disorders. Four major clinical classes of NDDs (MIC, EPI, PMG, ID) showed distinct scRNAseq and organoid phenotypes. doi.org/10.1101/2025.0…

New preprint showing human brain organoids from our library of patient #IPSCs modeling neurodevelopmental disorders. Four major clinical  classes of NDDs (MIC, EPI, PMG, ID) showed distinct scRNAseq and organoid phenotypes. doi.org/10.1101/2025.0…