Mae Woods

@maewoods.bsky.social

Passionate about compbio | high performance computing | mathematics | digitalization | cell & gene therapy. Opinions are my own. GitHub: https://github.com/MaeWoods

(BioRxiv All) Resolving Immune Lineage and Cell-State Heterogeneity in Human PBMCs via Mass Spectrometry-Based Single-Cell Proteomics: Single-cell proteomics (SCP) currently lacks validated benchmarking standards, and cell annotation often relies on transcriptomic proxies.… #BioRxiv #MassSpecRSS

Resolving Immune Lineage and Cell-State Heterogeneity in Human PBMCs via Mass Spectrometry-Based Single-Cell Proteomics

Single-cell proteomics (SCP) currently lacks validated benchmarking standards, and cell annotation often relies on transcriptomic proxies. Unsupervised clustering offers a proxy-free alternative, but its success depends on biological signal outweighing technical variation. In homogeneous samples this is achievable, but in heterogeneous populations, where closely related cell types differ only subtly, technical variation can dominate the clustering and obscure the biology needed for annotation. To address this, we developed an integrated experimental and computational pipeline for protein-level cell annotation and applied it to human PBMCs as an immune-cell test case. We isolated T cells, B cells, monocytes, and NK cells by negative-selection sorting to build a high-fidelity reference. In parallel, unsorted PBMCs from the same donor were processed on a cellenONE and acquired using label-free DIA on an Orbitrap Astral Zoom. Using the labeled reference, we systematically benchmarked normalization, imputation, and clustering methods to assess their effect on cell-type separation. Unsupervised analysis resolved functional subpopulations within each lineage, and a probabilistic SCP classifier trained on these annotations identified the corresponding cell types and states in the unsorted PBMC fraction, validating the pipeline on unenriched, heterogeneous samples. Together, this work delivers an analytically benchmarked SCP workflow that resolves immune lineage and cell-state heterogeneity in human PBMCs and provides a classifier-ready, protein-level reference for immune-cell assignment.

dlvr.it

Have you ever seen this iconic image of the Ebola virus, from the first known outbreak in DRC in 1976? An electron microscopic image, it was captured by #CDC 's Fred Murphy, a virological giant and a very kind interviewee. He died yesterday. He will be missed, but his scientific legacy lives on.

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🧬🧪 New from JAX: Scientists have corrected an extremely rare and life-threatening genetic disease of the liver in mouse models and human patient cells, using the gene-editing approach that served as the basis for the historic, life-saving treatment of Baby KJ Muldoon in 2025.

jax.org

Calling NeurIPS 2026 researchers! 🚀 The CFPs for the evaluations & datasets track are officially out, and we want to support you if you're working on a submission. When you build your benchmark on Kaggle Benchmarks, you get complimentary compute, top model access, and exposure to 30M+ users.

The Association for Computing Machinery (ACM) Prize in Computing has gone to Matei Zaharia for his "visionary development of distributed data systems and computing infrastructure" that has supported large-scale machine learning, analytics and AI. 1/2