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Michele Ceccarelli

@mceccarelli.bsky.social

Computational Systems Biology in Cancer Genomics. University of Miami

181 Followers  |  762 Following  |  8 Posts  |  Joined: 14.11.2024  |  2.1996

Latest posts by mceccarelli.bsky.social on Bluesky

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MiDNE a tool for multi-omics genes and drugs interactions discovery The availability of models representing molecular interactions in complex pathologies is essential for understanding their molecular setup and identif…

www.sciencedirect.com/science/arti...

16.10.2025 20:59 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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Big, beautiful trees!!

SMART-PTA for whole-genome+transcriptome on thousand of single cells from the normal human esophagus 🀯 Massively scaling up the power of scWGS to build deep phylogenies and chart somatic evolution from birth throughout life.

www.biorxiv.org/content/10.1...

14.10.2025 14:37 β€” πŸ‘ 46    πŸ” 15    πŸ’¬ 1    πŸ“Œ 0
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#TransposableElements and Homotypic Niches Drive Immune Dynamics and Resistance in #Melanoma Epigenetic-based #immunotherapy
www.biorxiv.org/content/10.1...

13.10.2025 14:55 β€” πŸ‘ 2    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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Restraint of cancer cell plasticity by spatial homotypic clustering Migliozzi et al. use single-cell resolution spatial transcriptomics of 16 glioblastoma and 2.8 million cells to study tumor architecture. They discover that cell state coherence is maximal in cells or...

Restraint of cancer cell plasticity by spatial homotypic clustering
www.cell.com/cancer-cell/...

18.09.2025 16:02 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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Integrated multi-omics profiling reveals the role of the DNA methylation landscape in shaping biological heterogeneity and clinical behaviour of metastatic melanoma.
doi.org/10.1186/s130...

21.07.2025 15:20 β€” πŸ‘ 3    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
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Decoding Plasticity Regulators and Transition Trajectories in Glioblastoma with Single-cell Multiomics Glioblastoma (GB) is one of the most lethal human cancers, marked by profound intratumoral heterogeneity and near-universal treatment resistance. Cellular plasticity, the capacity of cancer cells to t...

Two massive glioblastoma papers, datasets, trajectories, insights, and.. a very cool new method for GRN inference - scDORI -from @steglelab.bsky.social @oliverstegle.bsky.social @bayraktarlab.bsky.social & Moritz Mall www.biorxiv.org/content/10.1... www.biorxiv.org/content/10.1...

16.05.2025 07:31 β€” πŸ‘ 38    πŸ” 16    πŸ’¬ 1    πŸ“Œ 0
Mathematical Aspects of Data Science Graduate Summer School - EPFL - Sept. 1-5, 2025

Announcing : The 2nd International Summer School on Mathematical Aspects of Data Science
mathsdata2025.github.io
EPFL, Sept 1–5, 2025

Speakers:
Bach @bachfrancis.bsky.social
Bandeira
Mallat
Montanari
PeyrΓ© @gabrielpeyre.bsky.social

For PhD students & early-career researchers
Apply before May 15!

14.04.2025 17:00 β€” πŸ‘ 46    πŸ” 24    πŸ’¬ 1    πŸ“Œ 1

The talks from the Post-Bayes workshop are now available online here - youtube.com/playlist?lis... - do take a look!

29.05.2025 09:57 β€” πŸ‘ 23    πŸ” 7    πŸ’¬ 0    πŸ“Œ 0
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🚨 New preprint: Topography Aware Optimal Transport for Alignment of Spatial Omics Data

We present our new alignment framework TOAST www.biorxiv.org/content/10.1...

22.04.2025 09:37 β€” πŸ‘ 31    πŸ” 17    πŸ’¬ 1    πŸ“Œ 1

Application deadline for our @wellcometrust.bsky.social #CancerEvolution summer school is tomorrow, 1 April 2025.

coursesandconferences.wellcomeconnectingscience.org/event/evolut...

Our brilliant faculty will cover evo&eco theory, math models, genomics, digital path, clinical trial design & more

31.03.2025 09:50 β€” πŸ‘ 14    πŸ” 12    πŸ’¬ 0    πŸ“Œ 2
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Computational analysis of DNA methylation from long-read sequencing - Nature Reviews Genetics Long-read sequencing technologies can directly profile methylation modifications across the genome. In this Review, Fu et al. overview the long-read computational tools to identify and compare methyla...

Computational analysis of DNA methylation from long-read sequencing go.nature.com/3RqrPlc #Review by @yileifu.bsky.social, @timp0.bsky.social & @sedlazeck.bsky.social @bcmhouston.bsky.social @jhu.edu

31.03.2025 10:00 β€” πŸ‘ 21    πŸ” 8    πŸ’¬ 1    πŸ“Œ 0
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rdcu.be/efuxT
A detailed guide to assessing #genome-assembly based on #long-read sequencing data using Inspector. @natprot.bsky.social

28.03.2025 11:47 β€” πŸ‘ 4    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0
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Comprehensive Profiling of Computational Techniques for Sequencing-Based HLA #ImmuneSignatures Extraction
doi.org/10.1111/tan....

17.02.2025 09:36 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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Integrated #multi-omics profiling reveals the role of the DNA methylation landscape in shaping biological heterogeneity and clinical behaviour of metastatic #melanoma
www.biorxiv.org/content/10.1...

12.02.2025 20:47 β€” πŸ‘ 0    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0
Leveraging mRNA technology for antigen based immuno-oncology therapies The application of messenger RNA (mRNA) technology in antigen-based immuno-oncology therapies represents a significant advancement in cancer treatment. Cancer vaccines are an effective combinatorial partner to sensitize the host immune system to the tumor and boost the efficacy of immune therapies. Selecting suitable tumor antigens is the key step to devising effective vaccinations and amplifying the immune response. Tumor neoantigens are de novo epitopes derived from somatic mutations, avoiding T-cell central tolerance of self-epitopes and inducing immune responses to tumors. The identification and prioritization of patient-specific tumor neoantigens are based on advanced computational algorithms taking advantage of the profiling with next-generation sequencing considering factors involved in human leukocyte antigen (HLA)-peptide-T-cell receptor (TCR) complex formation, including peptide presentation, HLA-peptide affinity, and TCR recognition. This review discusses the development and clinical application of mRNA vaccines in oncology, with a particular focus on recent clinical trials and the computational workflows and methodologies for identifying both shared and individual antigens. While this review centers on therapeutic mRNA vaccines targeting existing tumors, it does not cover preventative vaccines. Preclinical experimental validations are crucial in cancer vaccine development, but we emphasize the computational approaches that facilitate neoantigen selection and design, highlighting their role in advancing mRNA vaccine development. The versatility and rapid development potential of mRNA make it an ideal platform for personalized neoantigen immunotherapy. We explore various strategies for antigen target identification, including tumor-associated and tumor-specific antigens and the computational tools used to predict epitopes capable of eliciting strong immune responses. We address key design considerations for enhancing the immunogenicity and stability of mRNA vaccines, as well as emerging trends and challenges in the field. This comprehensive overview highlights the therapeutic potential of mRNA-based cancer vaccines and underscores ongoing research efforts aimed at optimizing these therapies for improved clinical outcomes.

Had a terrific time collaborating with Wei Zheng, Sisi Sarkizova (Moderna) and Michele Ceccarelli (Sylvester Cancer Center) for a review on mRNA-based neoantigen-directed cancer immunotherapy (now published in JITC) https://jitc.bmj.com/content/13/1/e010569

23.01.2025 18:49 β€” πŸ‘ 1    πŸ” 2    πŸ’¬ 0    πŸ“Œ 0
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Leveraging #mRNA technology for antigen based #immuno-oncology therapies. doi.org/10.1136/jitc...

23.01.2025 20:21 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Method of moments framework for differential expression analysis of single-cell RNA sequencing data: Cell
www.cell.com/cell/fullte...

21.12.2024 14:45 β€” πŸ‘ 7    πŸ” 2    πŸ’¬ 1    πŸ“Œ 0
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Only a subset of patients respond to immunotherapy

Why? Which ones?

We conducted an unbiased analysis of response biomarkers and found that hundreds of possible biomarkers collapse into five latent, orthogonal factors that underlie immunotherapy response.

www.nature.com/articles/s41...

27.11.2024 14:13 β€” πŸ‘ 132    πŸ” 47    πŸ’¬ 4    πŸ“Œ 5
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I never tire of seeing these progressively improved pediatric ALL survival curves, which represent one of the most remarkable achievements in all of medicine.

Amazing to see even more improvement with bispecific antibody #immunotherapy presented in the #ASH24 Plenary session. #hematology #leukemia

08.12.2024 22:15 β€” πŸ‘ 117    πŸ” 35    πŸ’¬ 2    πŸ“Œ 2

39 cyclic readout with 39 sets of reporters. Because each reporter set contains 4 reporters with 4 different fluorophores (B,G,Y,R), 156 unique reporters are used to bind to the different reporter-landing domains on ISH probes

06.12.2024 11:28 β€” πŸ‘ 1    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0
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Deconvolution of omics data in Python with Deconomix -- cellular compositions, cell-type specific gene regulation, and background contributions https://www.biorxiv.org/content/10.1101/2024.11.28.625894v1 Gene expression profiles of heterogeneous bulk samples contain signals from multiple cell population

Deconvolution of omics data in Python with Deconomix -- cellular compositions, cell-type specific gene regulation, and background contributions https://www.biorxiv.org/content/10.1101/2024.11.28.625894v1

03.12.2024 21:48 β€” πŸ‘ 2    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0
Building LLMs from the Ground Up: A 3-hour Coding Workshop
YouTube video by Sebastian Raschka Building LLMs from the Ground Up: A 3-hour Coding Workshop

If you find yourself with too much free time over the (long) weekend / holidays, I have ~3h Building an LLM from the Ground Up workshop on YouTube that may come in handy: m.youtube.com/watch?v=quh7...

27.11.2024 04:39 β€” πŸ‘ 182    πŸ” 28    πŸ’¬ 11    πŸ“Œ 1
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1/23 Big news for the #ObenaufLab! So excited to finally share our new study providing another puzzle piece, why immunotherapy fails in many tumors, now out in @Nature πŸ§΅πŸ‘‡ www.nature.com/articles/s41...

27.11.2024 17:58 β€” πŸ‘ 560    πŸ” 142    πŸ’¬ 47    πŸ“Œ 36
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My deep learning course at the University of Geneva is available on-line. 1000+ slides, ~20h of screen-casts. Full of examples in PyTorch.

fleuret.org/dlc/

And my "Little Book of Deep Learning" is available as a phone-formatted pdf (nearing 700k downloads!)

fleuret.org/lbdl/

26.11.2024 06:15 β€” πŸ‘ 1260    πŸ” 250    πŸ’¬ 47    πŸ“Œ 17
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Doing good science is 90% finding a science buddy to constantly talk to about the project.

09.11.2024 22:53 β€” πŸ‘ 885    πŸ” 215    πŸ’¬ 22    πŸ“Œ 65
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Gliocidin is a nicotinamide-mimetic prodrug that targets glioblastoma - Nature The prodrug gliocidin effectively kills glioblastoma cells by targeting de novo purine synthesis, improving survival in mouse models.

Right on time to discuss at #SNO2024: Gliocidin is a nicotinamide-mimetic prodrug that targets glioblastoma. www.nature.com/articles/s41...

20.11.2024 17:24 β€” πŸ‘ 36    πŸ” 9    πŸ’¬ 0    πŸ“Œ 0
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Encouraging data for a neoantigen vaccine vs triple-negative breast cancer, revving up the immune system with favorable outcomes compared with historic controls (Phase 1 trial)
genomemedicine.biomedcentral.com/articles/10....

14.11.2024 14:39 β€” πŸ‘ 119    πŸ” 25    πŸ’¬ 2    πŸ“Œ 1
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Interested in #singlecell and #spatial #metabolomics? Then book your calendar for December 10th! – Our online, free event will summarize major achievements of the field in 2024. #metabolism #omics #MALDI #EPFL With Giovanni D'Angelo and our #PhD students we prepared for you a fantastic lineup. 🧡 1/5

19.11.2024 17:04 β€” πŸ‘ 65    πŸ” 33    πŸ’¬ 2    πŸ“Œ 2

If you don’t feel stupid doing science, you’re not trying hard enough.

18.11.2024 04:30 β€” πŸ‘ 184    πŸ” 23    πŸ’¬ 4    πŸ“Œ 2

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