Lindsay Rizzardi, PhD

@lrizzardi.bsky.social

Assistant Professor UAB Biochemistry & Molecular Genetics Functional Genomics | Neuroepigeneticist, chromatin enthusiast | #epigenetics #singlecell Views/posts my own. She/her

CUT&ID does Genomics+Proteomics in one shot via the fusion protein Lazarus Out @narjournal.bsky.social Unstoppable @annanordin.bsky.social is thinker+executor Get in touch if you wish to try it—plasmid soon @addgene.bsky.social 🙏 @liu.se @scilifelab.se @kawresearch.bsky.social @cancerfonden

Claudio Cantù@claudiocantu81.bsky.social · 10mo ago

Can one map the genome-wide binding (1) and its protein partners (2) simultaneously from the same sample? Yes, one can. with CUT&ID ✂️🪪 Spearheaded — singlehandedly — by @annanordin.bsky.social No need of transgenesis, cloning and overexpression. Check it out, it's fast and its works.

If you are curious about quantitative and predictive cell date decisions landscapes but our 14 figure paper seemed just a bit daunting, have a look at James' linked summary.

James Briscoe@jamesbriscoe.bsky.social · last wk.

Our latest paper on building models of cell fate decisions -with David Rand, Marine Fontaine & @joadelas.bsky.social- combines developmental biology, dynamical systems theory and bioinformatics. I wrote a short piece to summarise it & explain ideas behind the approach briscoelab.org/blog-quantif...

What can we learn about a single rare variant? Published today in Science: the 23andMe Research Institute and Dana-Farber studied the EGFR T790M in 10.1M 23andMe research participants. The variant has OR = 25.2 for lung cancer, rising to 61.7 in never-smokers(!). 🧵

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New preprint led by Zoe Rudnick: bramble 🌿 RNA-seq quantification makes you pick a side. Align to the transcriptome and your quantifier is happy, but reads from unannotated transcripts get misassigned to annotated ones. Align to the genome and you keep discovery, but limit quantification choices.

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Everything you wanted to know about single-molecule epigenomics but were too afraid to ask! Wonderful to co-write (h/t ENORMOUS lift by @arnaudkr.bsky.social) this primer on our nascent field. Also, a 💯 example of wonderful colleagues building something *together*, not in competition =)

A practical guide to studying genome function using single-molecule genomics

Nature Reviews Molecular Cell Biology - Single-molecule genomics methods are used to study the activity of regulatory factors on individual DNA molecules genome-wide, thereby enabling...

nature.com

Happy to share the peer-reviewed version of this manuscript now published in Bioinformatics Journal. Briefly, we developed HiCPotts, a novel method to better detect 3D DNA contacts from HiC/microC data. doi.org/10.1093/bioi... bioconductor.org/packages/HiC... For a summary, see original post.

doi.org

Dr Radu Zabet@raduzabet.bsky.social · 4mo ago

🚨 Excited to share a new manuscript from the lab. Here, we have developed a new method, HiCPotts, to identify significant interactions in 3D chromatin data www.biorxiv.org/content/10.6...; package bioconductor.org/packages/HiC.... Big shoutout to an amazing previous PhD in the lab Godwin. 1/n

Hi friends - thanks for checking this out. The project is now available as an R package. Many improvements & better documentation. Thanks again to Srivastava, Dongze He, @robp.bsky.social, @mikelove.bsky.social, and @plbaldoni.bsky.social for all the methods & glue! github.com/sbresnahan/s...

GitHub - sbresnahan/scAmbi: Mapping Ambiguity Overdispersion Correction for scRNA-seq

Mapping Ambiguity Overdispersion Correction for scRNA-seq - sbresnahan/scAmbi

github.com

Sean Bresnahan@seantbres.bsky.social · last yr.

In bulk RNA-seq, @plbaldoni.bsky.social et al showed that correcting overdispersion (OD) from read-to-transcript mapping ambiguity improves downstream analyses. Here I extend this to scRNA-seq using @mikelove.bsky.social et al Alevin’s bootstraps to correct per-cell OD github.com/sbresnahan/O...