Celia Lerma Martin

PhD student at @schirmerlab. Dry and wet lab, interested in spatial transcriptomics. BSc @UABBarcelona & MSc @UPFBarcelona

[Gravitational Lens @cation_motion]

OMG, this is killing me 😂😂😂

[Celia Lerma Martin @Cels121]

📢 It’s out!! 🎉 Huge thanks to everyone involved, and especially to my partner-in-crime @PauBadiaM 🥸🧡 Swipe for ‘Before and After’ pics. 10 years together, and maybe just a little bit wiser 😉 Després de no fer projectes junts a la carrera, aquest ens ha sortit prou bé😋

[Saez-Rodriguez Group @saezlab]

Our work with @schirmerlab in multiple sclerosis (MS) is out today in @NatureNeuro. We investigated lesion progression and cell-cell communication events in MS using snRNA-seq and spatial transcriptomics 🧠 See below ⬇️
https://t.co/j6LIwv4IgU

[Pau Badia i Mompel @PauBadiaM]

After nearly two years of hard work, the paper I coauthored with my lifelong partner, and now fiancé, is out in @NatureNeuro 🎉 No podria estar més feliç d’haver-ho fet junts @Cels121 😊

[Saez-Rodriguez Group @saezlab]

Our work with @schirmerlab in multiple sclerosis (MS) is out today in @NatureNeuro. We investigated lesion progression and cell-cell communication events in MS using snRNA-seq and spatial transcriptomics 🧠 See below ⬇️
https://t.co/j6LIwv4IgU

[Dr Javier Sánchez Utgés @javierutges.bsky.social @JavierUtges]

Our pre-print "Comparative evaluation of methods for the prediction of protein-ligand binding sites" is out on Research Square. Check it out!

🔗 https://t.co/vDxW7Lruwk

On this paper we benchmark 11 ligand binding site prediction tools on our curated reference dataset: LIGYSIS!

[Pau Badia i Mompel @PauBadiaM]

Very happy to see that our review on gene regulatory networks is being featured by @NatureRevGenet and that it inspired its cover! 🥳

[Celia Lerma Martin @Cels121]

🧠 Delighted to have shared today our research on MS lesions from white matter at #ECTRIMS2023 in Milan! I've talked about how our single-nuc and spatial atlas sheds light on disease progression. Grateful for the opportunity to present and happy to see that the room was packed 😊

[Dr. Heather Armstrong @DrHArmstrong]

📢Fantastic talk from @Cels121
🎯demonstrating tools for examining spatial transcriptomics ✅delineate which cells, what are they doing and where are they in #MS
#ECTRIMS2023 #MSMilan2023 @ECTRIMS

[Saez-Rodriguez Group @saezlab]

Gene regulatory networks (GRNs) are useful models to understand cellular identity and disease. We have reviewed the GRN inference field in the current era of single-cell multi-omics 📖 out in @NatureRevGenet
🔗https://t.co/fuMCRu8hjo
Full-text access: https://t.co/mgo15soG3Y

[Saez-Rodriguez Group @saezlab]

Transcription factor (TF) activity estimation can help to interpret transcriptomics data 🧬💻. In collaboration with the @NTNU and the @BSC_CNS, we present a high-confidence collection of signed TF regulons that covers >1,100 TFs https://t.co/siWTqxhpCp

[Saez-Rodriguez Group @saezlab]

Cross-condition single cell data are essential for biomedicine💊🏥 and tissue-centric descriptions are needed. We propose a 💻 framework for its sample-level unsupervised analysis and the estimation of multicellular programs. 📄You can read the preprint at https://t.co/8EGU5SjOAl

[Saez-Rodriguez Group @saezlab]

New preprint is out! 🚨 We analyzed the spatial map of multiple sclerosis (MS) lesions using snRNA-seq and spatial transcriptomics 🧠. This was a close collab with @schirmerlab, led by @Cels121 and our @PauBadiaM. See below 👇

[Pau Badia i Mompel @PauBadiaM]

It is not everyday when one can celebrate submitting a manuscript with their significant other 😄🥳 So happy to had the chance to work together on this @Cels121 ☺️

[Saez-Rodriguez Group @saezlab]

Our very much extended and revised multiomics single cell (RNA/ATAC seq) and spatial atlas of human myocardial infarction 🫀✨🚀 is out now @Nature! 🥳

Collaborative effort w/ @rkramann, @vanvanka123, & H Milting’s labs

https://t.co/xYM4jo3nRw

[Ricardo O. Ramirez Flores @roramirezf94]

Happy to share our latest work @Nature. We studied the remodeling and inflammatory events after human myocardial infarction with single cell and spatial transcriptomics data. 🥳

This is a complete make-over of the first pre-print back in winter 2020: https://t.co/C7kk0qEkLh

[Pau Badia i Mompel @PauBadiaM]

Happy to see this one out today in @NatMetabolism! 😄 If you are interested in extracting transcription factor or pathway signatures like we did in this work, check out our tool ⚙️ decoupler https://t.co/Gp3cwBLHz2

[Pau Badia i Mompel @PauBadiaM]

It is finally out! 🎉

[Saez-Rodriguez Group @saezlab]

There are many computational methods to infer biological activities. Many lab members led by @PauBadiaM have developed decoupleR 💻, a #Bioconductor #rstats package that collects different methods to infer mechanistic signatures from omics 🧬
Paper: https://t.co/Swa6HqpfMo 1/10

[Pau Badia i Mompel @PauBadiaM]

Finally my first co-author paper is out! 🥳
https://t.co/Ju3bs1ZBas
We trained a collection of deep learning models to infer bioactivity signatures for small compounds, even when no experimental information is available.💊
Now you can feed biological information to your models!💻