CaldasLab

Functional genomics of breast cancer lab based at the University of Cambridge

[CaldasLab @CaldasLab]

Carlos was awarded the @FondationARC Léopold Griffuel Award at the European Parliament in Strasbourg today: "I stand on the shoulders of my amazing laboratory group. I share this enormous honour with all of them!"

Look forward to his talk at #EACR2023 on 13/6 at 4.30 pm!
#bcsm

[Oscar M Rueda @OMRueda]

Are you looking for a statistics/ML postdoc? Come to work with @antonis02 and me in the NEMO study, an international collaboration aiming to detect ovarian cancer earlier through cutting-edge multi-omics, funded by the Alliance for Cancer Early Detection.
https://t.co/demmIr1nGM

[Carlos Caldas 🇵🇹🇮🇱🇪🇺🇬🇧 @CarlosC24501217]

@omrueda is a fantastic supervisor! Former member of @caldaslab he has an incredible track record! Apply!

[Dr Riccardo Masina @masina_riccardo]

I will be in the awesome @GustaveRoussy in Paris until October to continue my work in #BreastCancer and #DrugScreens. I am grateful to @CRUKresearch, @Cambridge_Uni, Profs @CarlosC24501217 and @FAndreMD for this opportunity.

If you stop by Paris let me know!

[Carlos Caldas 🇵🇹🇮🇱🇪🇺🇬🇧 @CarlosC24501217]

The amazing Caldasians! @CaldasLab is made of stars!!

[Carlos Caldas 🇵🇹🇮🇱🇪🇺🇬🇧 @CarlosC24501217]

Thank you @LautenbergI! I am very proud and look forward to creating an outstanding lab @HebrewU!

[ImmuNoah'sArk @immunonoah]

I'll soon be recruiting a postdoc fellow to join us @ MRC LMB to continue developing our programme to understand neuroimmune modulation 🧠🔬🧬🩸🫁
If you're interested in joining us check also @MSCActions, @wellcometrust &
https://t.co/TkP61a8iPd & DM'me
https://t.co/RxDcklWOsX

[Daniel Guerrero-Romero 🏳️‍🌈🇲🇽 @DannGuerreroR]

Please stay tuned for this upcoming Postdoc position @ MRC LMB with @immunonoah

[UHN Research @UHN_Research]

Most #cancer cells aren’t able to propagate tumours—but a rare few can.

Using genetic barcodes, a team @PMResearch_UHN tracked these rare clones—revealing how they evolve, adapt, and resist treatment. A step toward more targeted cancer therapies.

🔗: https://t.co/rzt9IiGyGm

[Times Higher Education @timeshighered]

Opinion: In recent decades, the post of Cambridge chancellor has been seen as purely ceremonial. But there is precedent and justification for a more interventionist role, says Wyn Evans
https://t.co/q52EkCcfC8

[Carlos Caldas 🇵🇹🇮🇱🇪🇺🇬🇧 @CarlosC24501217]

UK innovation potential uncertain as top unis fall in global rankings https://t.co/MrdDtNeJBe

[Dr Liz Morrish @lizmorrish]

“[My case] is a new form of ‘cancellation’ of academics prepared to speak out against managerialism. Managerialism is destroying Britain’s universities, and needs to be opposed.“
https://t.co/FgV9ifKpVC

[21group @21percentgroup]

This is the pledge card for the Chancellorship of
@Cambridge_Uni

Details of policies behind the six pledges are here

https://t.co/z61L9ZE99n

Chancellor should be helping to fix internal problems of the University

@oxonpolis @poppyeh @AnnaFazack1
@VarsityUK @TheTab @BBCCambs

[CaldasLab @CaldasLab]

@CarlosC24501217 ended #EACR2025 on a high with the closing @EMBO Keynote Lecture!

An impressive demonstration of how Caldasians over the past 25+ years have uncovered breast cancer to be 11 distinct diseases, and generated excellent patient-derived models to study them!

[Daniel Guerrero-Romero 🏳️‍🌈🇲🇽 @DannGuerreroR]

Amazing presentation delivered by @masina_riccardo
@EACRnews #EACR2025 ! He presented our project using PDTCs as high-throughput drug screens, and it was selected as a proffered paper!
@CaldasLab @CarlosC24501217

[Bo Wang @BoWang87]

🚀 Xaira Therapeutics has just dropped a game-changer for AI-driven biology.

Today, we unveiled X-Atlas/Orion, the largest publicly available genome-wide Perturb-seq dataset to date—spanning 8.4 million single cells with perturbations across all ~20,000 human protein-coding genes.
This release is not just about scale—it’s about enabling a new era of causal, mechanistic foundation models for biology.

📝 Preprint on bioRxiv: https://t.co/y3i0AYzVOS
📂 Dataset on Figshare:
https://t.co/WboHM8T9Uo

🔍 What makes X-Atlas/Orion special:

📈 Unprecedented scale & quality: Each cell profiled with deep (~16k UMIs) transcriptomics and rich metadata

🧪 Quantitative dose-response modeling: Thanks to high-fidelity sgRNA detection and ~4 guides per gene, allowing continuous modeling of genetic effects

🧬 FiCS platform: A fully industrialized single-cell perturbation system enabling rapid, reproducible experiments at massive throughput

🧠 This isn’t just “data.” It’s the biological substrate for building virtual cell models that can generalize, predict, and ultimately power AI-native drug discovery.

💬 My final take:
This is a foundational moment for the field. The ability to model how genes affect cell state—quantitatively, causally, and at scale—is what we need to unlock predictive biology.

Kudos to the incredible team at Xaira for open-sourcing this resource so the entire community can build on it.
#PerturbSeq #SingleCell #Genomics #VirtualCell #FoundationModels #AIForBiology #Xaira #DrugDiscovery #SyntheticBiology #CausalAI

More press release: Press release :
🔗 GEN article : https://t.co/UI45lDkGB3
🔗 BusinessWire: https://t.co/qRFb9JUkI1

[Dr Riccardo Masina @masina_riccardo]

It was an honor to present my work on #DrugScreens in #BreastCancer at the #EACR2025 Congress in Lisbon. Thank you to everyone who attended - and thank you @caldaslab and @Astrazeneca for all the support!

[Mark Dawson @MAF_Dawson]

Incredibly humbled & grateful to @ASH_hematology for the honour of the William Dameshek Prize. A recognition that belongs to the awesome scientists I have the privilege of working with every day in @TheDawsonLab @PeterMacRes @GenCancerCentre

[CaldasLab @CaldasLab]

@CarlosC24501217 and @CaldasLab will always #KeepResearch Curious and never stop doing good science!

#EACR2025

[CaldasLab @CaldasLab]

Follow him here for updates on this exciting project: @masina_riccardo!

[CaldasLab @CaldasLab]

Terrific talk from our superstar clinical fellow Riccardo Masina at #EACR2025!

A masterclass into how #ML can be used to extract useful insights for drug discovery from high throughput drug screens in clinically relevant, patient-derived models!