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Sebcentrism

Sebcentrism explores the latest in single-cell and spatial omics, bioinformatics, and cancer research, offering regular updates, insights, and commentary on groundbreaking science—subscribe for free to stay in the loop!

Newsletter · By Sebastiaan Vanuytven · English · Official site

Indexed issues, last 90 days
10
Latest publication
Sep 30, 2026
Audience
Checking…
Earliest in this view
Jul 13, 2026

Latest issues

  1. Issue · Sep 30, 2026

    Weekly reads 21/09/26 (opens the original)

    Excerpt · Neutral tone

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    Unfortunately three day’s late, but these week’s papers are worth the wait I feel. The central theme is “how cellular, transcriptional, or genetic states are determining cancer behavior and how new tools let us see and even engineer it. In pancreatic cancer, genetically dissecting fibroblast subsets revealed that TGF-β-dependent myCAFs, and not the IL-1-driven iCAFs are fueling metastasis by promoting EMT. A colorectal cancer atlas built with continual learning shows that KRAS-mutant, MSS tumors

  2. Issue · Sep 20, 2026

    Weekly reads 14/09/26 (opens the original)

    Excerpt · Positive tone

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    This week’s reads focus on a wide array of topics, rom uncertainty-aware spatial multiomics integration to scarless genome editing and in vivo human neural modeling. The tool SCIGMA, is a deep learning framework that integrates spatial multiomics data while preserving modality-specific signals, while BatchRefiner refines embeddings to tackle batch effects in scRNA and scATAC-seq data. On the other hand, low-heteroplasmy mtDNA mutations unlock hidden lineage information not accesible with CRISPR-

  3. Issue · Sep 13, 2026

    Weekly reads 7/9/26 (opens the original)

    Excerpt · Neutral tone

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    This week’s reads encompass miR-Space, which brings microRNAs detection at single-cell resolution by extending these short, non-polyadenylated molecules with unique barcodes. SQUINT on the other hand, introduces a dual-codebook approach to spatial transcriptomics, learning discrete codes for both cell-intrinsic identity and spatial niche context, unifying interpretability with scalability. Longitudinal single-cell and spatial profiling reveals how Pik3ca H1047R drives early epithelial plasticity

  4. Issue · Sep 7, 2026

    Weekly reads 31/08/26 (opens the original)

    Excerpt · Positive tone

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    This week’s reads are bit more scattered than usually and span topics from deep learning models that decode the evolutionary history of human regulatory DNA to high-throughput assays dissecting transcriptional bursting. A first paper leverages the Enformer model to uncover lineage-specific regulatory elements in hominin genomes, shedding light on how even single mutations can lead to functional divergence in evolution. ClustoCell, on the other hand, is a reference-free method for identifying cel

  5. Issue · Aug 23, 2026

    Weekly reads 17/08/26 (opens the original)

    Excerpt · Neutral tone

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    This week’s reads focus on uncovering the hidden architectures of cancer and immunity: from spatial maps of tumour niches to the genetic levers that could re-engineer T cells. In head and neck cancer, spatial transcriptomics reveals two distinct modes of epithelial-to-mesenchymal transition (p-EMT), driven by fibroblast-derived TGFβ at the tumor edge or myeloid-derived OSM in the core. A new in vivo CRISPR platform identifies P2RY8–Gα13 and GNAS as orthogonal targets to overcome T cell barriers

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