David E Sanin
@davidesanin.bsky.social
690 followers 520 following 26 posts
Assistant Professor at Johns Hopkins University and macrophage enthusiast! | he/him 🏳️‍🌈 Opinions are my own! https://linktr.ee/davidesanin
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davidesanin.bsky.social
This work is the first publication from my lab and I could not be more proud!!!!
/end
davidesanin.bsky.social
We also use this method to predict how Dictyostelium discoideum changes their mitochondrial biology to go from an amoeba to multi-cellular aggregates! (Mitochondrial function sensing dye on the right lights up when cells aggregate and mitochondria lower membrane potential).
6/n
davidesanin.bsky.social
For example, in these plasmacytoid DCs, the transcriptional shift we detect is because of type I IFN production!
5/n
UMAP of plasmacytoid DCs showing OAR scores at the top and expression of 3 type I IFN genes and one solute carrier gene at the bottom. High OAR scores are associated with high expression of selected genes.
davidesanin.bsky.social
Cells where missing data patterns are not good predictors, score HIGHER because they have transcriptional programs that are different and therefore you should go and study why!
We are borrowing from statistical methods that examine missingness: doi.org/10.1007/s135...
4/n
Diagnostic Test for Realized Missingness in Mixed-type Data - Sankhya B
A frequent concern in analyzing incomplete multivariate measurements in mixed categorical and quantitative scales is whether missing completely at random (MCAR) is an appropriate model. Realized MCAR ...
doi.org
davidesanin.bsky.social
2️⃣ We examine how well missing data patterns explain gene expression and derive a score from this result.
3/n
Missing data patterns are used to group genes within each cell and the distribution of those groupings is examined for homogeneity. A score is calculated based on a statistical test that determines how well the patterns explain gene expression.
davidesanin.bsky.social
An OAR (Observed At Random) score links co-expression patterns and gene expression. A high OAR score indicates a poor prediction (an interesting cell!).
Our method has 2 main steps:
1️⃣ We define a set of co-expression patterns based on zero-counts, which we call missing data patterns.
2/n
A matrix of raw counts from single cell RNA sequencing data is converted into a binary matrix with 0s and 1s, where patterns of co-expression (also referred to as missing data patterns) are extracted.
Reposted by David E Sanin
braithwaiteat.bsky.social
Stimulating immune cells in vitro is a common experimental lab model. We profiled 150K blood immune cells treated with 11 different stimuli to compare the effects. The data are freely available for researchers. See the preprint for our findings and to access the data 🧪 doi.org/10.1101/2025...
Reposted by David E Sanin
jeffreykeese.bsky.social
Meant to mention this last week, but if you have a young person in your life who’s into history or graphic novels or just good books, buy them George Takei’s “They Called Us Enemy.” My oldest couldn’t put it down.
Cover of George Takei’s They Called Us Enemy” showing a young Japanese American boy in a line of people being sent to an internment camp guarded by a uniformed American soldier
Reposted by David E Sanin
deniswirtz.bsky.social
Research Saves Lives

At Hopkins, we just went live with an expansive website showing the extraordinary value of research, the impact of cuts to research, what's at stake, resources for our research community, etc.

Check it out: researchsaveslives.jhu.edu
Reposted by David E Sanin
noamteyssier.bsky.social
Extracting @NCBI SRA files with fasterq-dump can require 17x the size of the accession while decompressing. Our new tool xsra extracts sequences at 5x throughput with significantly less disk usage, built-in compression, and optional BINSEQ outputs

github.com/arcInstitute...
GitHub - ArcInstitute/xsra: An efficient CLI to extract sequences from the SRA
An efficient CLI to extract sequences from the SRA - ArcInstitute/xsra
github.com
Reposted by David E Sanin
deniswirtz.bsky.social
This integrated method shows how misleading traditional 2D assessments of immune cells localization in tissues is misleading.

3D assessments are a must.
deniswirtz.bsky.social
New paper from the lab: Integration of nuclear morphology and 3D imaging to profile cellular neighborhoods

Read it here: www.biorxiv.org/content/10.1...
Reposted by David E Sanin
adamlmaclean.bsky.social
Thanks to everyone for a fantastic meeting #SACB2025 @cancersysbio.bsky.social

(I sure needed an injection of great science in *these times*)

@mathcancer.bsky.social closing out the show...
Reposted by David E Sanin
kristabledsoe.bsky.social
I'm co-organizing a Cell Symposia on Metabolites in Organellar Communication with @robzonculab.bsky.social, Kivanc Birsoy, and Allyson Evans (@cp-cellmetabolism.bsky.social). It will be in Sitges May 11-13. Submit an abstract by Feb 14. Hope to see you in Spain! cell-symposia.com/metabolites-...
Home – Cell Symposia: Metabolites: organellar communication in health and disease
Cell Symposia: Metabolites: organellar communication in health and disease
cell-symposia.com
Reposted by David E Sanin
cancersysbio.bsky.social
The #SACB2025 immunology session closes out with @davidesanin.bsky.social discussing myeloid cell regulation in prostrate cancer
davidesanin.bsky.social
Enjoying day one of #SACB2025! Amazing line up of speakers today!! Good reminder of the amazing communities of scientists using all kinds of tools and working towards helping patients with cancer!
Reposted by David E Sanin
erictopol.bsky.social
How to get 146% return on investment?
The NIH. That's just the economic benefit.
Biomedical research promotes human health.
the yield on NIH research for economic activity