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Greg Keele

@grkeele.bsky.social
25 followers 49 following 55 posts
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Reposted by Greg Keele
Angelo D’Alessandro @dalessandrolab.bsky.social · 19/11/2025
Now out at @cellpress.bsky.social Cell Genomics, we characterized the genetic architecture of the murine red blood cell proteome using omics profiling in 350 genetically diverse mice. The goal was to understand how genetic variation shapes RBC metabolism, redox homeostasis, and storage outcomes. 1/n
cell.com
Genetic architecture of the murine red blood cell proteome reveals central role of hemoglobin beta cysteine 93 in maintaining redox balance
Keele et al. uncover the genetic architecture of the proteome of fresh and stored red blood cells using a multi-omics analysis of 350 genetically diverse mice. Their work reveals how a hemoglobin redo...
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Greg Keele @grkeele.bsky.social · 09/03/2025
Excited to share this pre-print: Genetic architecture of the red blood cell proteome in genetically diverse mice reveals central role of hemoglobin beta cysteine redox status in maintaining circulating glutathione pools www.biorxiv.org/content/10.1...
biorxiv.org
Genetic architecture of the red blood cell proteome in genetically diverse mice reveals central role of hemoglobin beta cysteine redox status in maintaining circulating glutathione pools
Red blood cells (RBCs) transport oxygen but accumulate oxidative damage over time, reducing function in vivo and during storage—critical for transfusions. To explore genetic influences on RBC resilien...
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Greg Keele @grkeele.bsky.social · 02/01/2023
Please check out heavily revised version of my manuscript comparing genetically diverse mouse populations (CC, CC-RIX, DO). I greatly expanded the simulations and now provide power curves! x.com/grkeele/status…
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Greg Keele @grkeele.bsky.social · 29/08/2022
Interested in doing an genetic experiment with a cutting-edge mouse multiparental population (MPP), but don't know which best suits your needs (e.g., inbred vs outbred)? Using simulations from real genetic data, I sought to provide some answers and guidelines. x.com/biorxivpreprin…
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Greg Keele @grkeele.bsky.social · 20/07/2022
Check out this cool work from Maddie evaluating how error can influence mediation inference. Something to consider when trying to causally relate -omic data with differing measurement error properties. x.com/MS_Gastonguay/…
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Greg Keele @grkeele.bsky.social · 06/06/2022
Very grateful to have the opportunity to work with @tianzhang4921 dissecting how genetic variation affects protein phosphorylation. Our great team included @stevemunger, @MTFerris, @GygiLab, and Gary Churchill @jacksonlab. I'll share a few insights from the manuscript. x.com/tianzhang4921/…
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Greg Keele @grkeele.bsky.social · 02/06/2022
Paper alert! Final form of work with @wescrouse, from the labs of Gary Churchill @jacksonlab and @WilliamValdar. Includes fun examples of using bmediatR for genetic mediation analysis in genetically diverse mouse and human cell line data. x.com/wescrouse/stat…
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Greg Keele @grkeele.bsky.social · 23/05/2022
Excited to share this pre-print on how protein abundance changes with age across 10 tissues of B6 mice. My awesome collaborators include @dschweppe1, Gary Churchill, Ron Korstanje @jacksonlab, and Steve Gygi @GygiLab. I'll highlight some of the interesting findings below. x.com/biorxivpreprin…
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Greg Keele @grkeele.bsky.social · 23/07/2021
Great to finally show off this work with @wescrouse, the Churchill lab, and @WilliamValdar on a unique flexible approach to mediation analysis that has applications to genetics. See previous thread for a description of our framework. x.com/wescrouse/stat…
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Greg Keele @grkeele.bsky.social · 15/11/2020
Really cool study that uses Bayesian modeling of X-inactivation to map and characterize alleles in genetically diverse mice. x.com/SunKat_y/statu…
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Greg Keele @grkeele.bsky.social · 30/08/2020
Excited to be a part of this awesome paper led by Isabela Gyuricza! Lots of cool biology, including changes to key protein complexes with age. Genome-wide transcript and protein analysis reveals distinct features of aging in the mouse heart biorxiv.org/content/10.110…
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Greg Keele @grkeele.bsky.social · 29/03/2020
An optogenetic switch for the Set2 methyltransferase provides evidence for rapid transcription-dependent and independent dynamics of H3K36 methylation biorxiv.org/content/10.110…
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Greg Keele @grkeele.bsky.social · 05/03/2020
Great work from @kwangbom on the challenge of modeling zeros, which is becoming increasingly relevant with explosion of scRNA-Seq experiments x.com/kwangbom/statu…
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Greg Keele @grkeele.bsky.social · 10/02/2020
Excited to see (and share) the final version of this work with @bryancquach! From the labs of @WilliamValdar, Ivan Rusyn, and Terry Furey. #PLOSGenetics: Integrative QTL analysis of gene expression and chromatin accessibility identifies multi-tissu ... dx.plos.org/10.1371/journa…
dx.plos.org
Integrative QTL analysis of gene expression and chromatin accessibility identifies multi-tissue patterns of genetic regulation
Author summary Genetic variation can drive alterations in gene expression levels and chromatin accessibility, the latter of which defines gene regulatory elements genome-wide. The same genetic variants may associate with both molecular events, and these may be connected within the same causal path: a variant that reduces promoter region chromatin accessibility, potentially by affecting transcription factor binding, may lead to reduced expression of that gene. Moreover, these causal regulatory paths can differ between tissues depending on functions and cellular activity specific to each tissue. We identify cross-tissue and tissue-selective genetic regulators of gene expression and chromatin accessibility in liver, lung, and kidney tissues using a panel of genetically diverse inbred mouse strains. Further, we identify a number of candidate causal mediators of the genetic regulation of gene expression, including a zinc finger protein that helps silence the Akr1e1 gene. Our analyses are consistent with chromatin accessibility playing a role in the regulation of transcription. Our study demonstrates the power of genetically diverse, multi-parental mouse populations, such as the Collaborative Cross, for large-scale studies of genetic drivers of gene regulation that underlie complex phenotypes, as well as identifying causal intermediates that drive variable activity of specific genes and pathways.
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Greg Keele @grkeele.bsky.social · 28/03/2019
Excited to finally show off fun work with @bryancquach (from Crawford, @WilliamValdar, Rusyn, and Furey labs). Integrative QTL analysis of gene expression and chromatin accessibility identifies multi-tissue patterns of genetic regulation biorxiv.org/content/10.110…
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Greg Keele @grkeele.bsky.social · 27/03/2019
My paper with @wescrouse (from the labs of @samir_kelada,@WilliamValdar) is now out in G3. Interested in the Collaborative Cross? Read it. Improved from the preprint with big ol' heaping of Beavis effect! If that likely makes no sense, read it. g3journal.org/content/early/…
g3journal.org
Determinants of QTL Mapping Power in the Realized Collaborative Cross
Abstract. The Collaborative Cross (CC) is a mouse genetic reference population whose range of applications includes quantitative trait loci (QTL) mapping.
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Greg Keele @grkeele.bsky.social · 09/12/2018
Got a bunch of inbred strains? Want to pick out a few for crosses? Use DIDACT! Glad to share a project I've been working on for quite a while. Work out of @WilliamValdar lab with @TweetNTD and @Dgoreper. Check it out at biorxiv.org/content/early/…
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Greg Keele @grkeele.bsky.social · 12/11/2018
Designing a Collaborative Cross (CC) experiment or just need a power trip? Check out my preprint with @wescrouse. Work out of the @samir_kelada and @WilliamValdar labs. Determinants of QTL mapping power in the realized Collaborative Cross biorxiv.org/content/early/…
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