---
title: "Separable Organization of Immune Transcriptional Responses Across Cell Types"
id: "biorxiv-2-the-separable-organization-of-immune-transcriptional-responses"
canonical_url: "https://medichelpline.com/clinical-feed/biorxiv-2-the-separable-organization-of-immune-transcriptional-responses"
content_type: "clinical_feed_article"
specialty: "General"
source_name: "bioRxiv (Biomedical Preprints)"
source_url: "https://www.biorxiv.org/content/10.64898/2026.09.09.750474v1?rss=1"
published_at: "2026-09-13T12:00:00.000Z"
evidence_level: "Verified Feed"
license: "CC-BY-NC-4.0 / Informational Use"
---
# Separable Organization of Immune Transcriptional Responses Across Cell Types
## Provenance & Clinical Metadata
- **Canonical URL:** https://medichelpline.com/clinical-feed/biorxiv-2-the-separable-organization-of-immune-transcriptional-responses
- **Specialty:** [General](https://medichelpline.com/clinical-feed/general.md)
- **Primary Source:** bioRxiv (Biomedical Preprints)
- **Source URL:** [Original Journal Publication](https://www.biorxiv.org/content/10.64898/2026.09.09.750474v1?rss=1)
- **Published At:** 2026-09-13T12:00:00.000Z
- **Evidence Rating:** Verified Feed
## Executive GIST (TL;DR)
- The study analyzed **single-cell** transcriptional responses of peripheral blood mononuclear cells from 12 donors exposed in vitro to 90 cytokine perturbations. - For a given donor and perturbation, responses in one cell type can be transformed into corresponding responses in another via mappings that depend only on the identities of the source and target cell types. - These cross-cell-type mappings reveal a **separable organization**: a **shared response state** defined by donor and perturbation, and cell-type-specific response rules that determine how that state is expressed. - The authors formalized this architecture as a **linear shared-state model** that captures most of the reproducible transcriptional response variance reported in the dataset. - The separable formulation generalized to unseen donors and perturbations in the study and extended to longitudinal in vivo variation, indicating potential robustness beyond the original in vitro perturbations. - The results imply that distinct transcriptional responses across immune cell types are largely cell-type-specific expressions of a common donor-level state rather than wholly independent programs. - The report is a preprint by Harus Jabran Zahid posted to bioRxiv on September 13, 2026; the author discloses employment and equity ownership with Microsoft. - The source does not report specific numerical performance metrics, detailed model parameters, or full methodological steps in this summary; those details were not provided in the article text supplied here.
## Clinical Analysis & Structured Key Points
The Separable Organization of Immune Transcriptional Responses | bioRxiv Skip to main content New Results The Separable Organization of Immune Transcriptional Responses Harus Jabran Zahid doi: https://doi.org/10.64898/2026.09.09.750474 Harus Jabran Zahid Microsoft Research Find this author on Google Scholar Find this author on PubMed Search for this author on this site For correspondence: hzahid{at}microsoft.com Abstract Info/History Metrics Preview PDF Abstract Immune function depends on coordinated responses across diverse cell types, yet the organizing principles underlying this coordination remain uncertain. Here we analyze single-cell data of peripheral blood mononuclear cells from 12 donors exposed in vitro to 90 cytokines and find that, for a given donor and perturbation, transcriptional responses in one cell type can be transformed into corresponding responses in another through mappings that depend only on the identities of the two cell types. These cross-cell-type mappings admit a separable organization in which donor and perturbation define a response state shared across cell types, while donor- and perturbation-independent cell-type-specific response rules specify how that state is expressed. We formalize this organization as a linear shared-state model that captures most of the reproducible transcriptional response variance. This separation between shared response state and cell-type-specific response rules generalizes to unseen donors and perturbations and extends to longitudinal variation in vivo. Thus, our results reveal an organizing principle of immune coordination, with distinct transcriptional responses across cell types representing cell-type-specific expressions of a shared donor-level response state. Competing Interest Statement HJ Zahid has employment and equity ownership with Microsoft. The author declares no other competing interests. Copyright The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license . Back to top Previous Next Posted September 13, 2026. Download PDF Email Thank you for your interest in spreading the word about bioRxiv. NOTE: Your email address is requested solely to identify you as the sender of this article. Your Email * Your Name * Send To * Enter multiple addresses on separate lines or separate them with commas. You are going to email the following The Separable Organization of Immune Transcriptional Responses Message Subject (Your Name) has forwarded a page to you from bioRxiv Message Body (Your Name) thought you would like to see this page from the bioRxiv website. Your Personal Message CAPTCHA This question is for testing whether or not you are a human visitor and to prevent automated spam submissions. Share The Separable Organization of Immune Transcriptional Responses Harus Jabran Zahid bioRxiv 2026.09.09.750474; doi: https://doi.org/10.64898/2026.09.09.750474 Share This Article: Copy Citation Tools The Separable Organization of Immune Transcriptional Responses Harus Jabran Zahid bioRxiv 2026.09.09.750474; doi: https://doi.org/10.64898/2026.09.09.750474 Citation Manager Formats BibTeX Bookends EasyBib EndNote (tagged) EndNote 8 (xml) Medlars Mendeley Papers RefWorks Tagged Ref Manager RIS Zotero Tweet Widget Facebook Like Google Plus One Subject Areas All Articles Animal Behavior and Cognition (7983) Biochemistry (18684) Bioengineering (14804) Bioinformatics (44278) Biophysics (22531) Cancer Biology (19650) Cell Biology (26810) Clinical Trials (138) Developmental Biology (13915) Ecology (20940) Epidemiology (2067) Evolutionary Biology (25400) Genetics (16132) Genomics (23443) Immunology (18640) Microbiology (42360) Molecular Biology (17992) Neuroscience (93155) Paleontology (695) Pathology (2974) Pharmacology and Toxicology (5075) Physiology (8087) Plant Biology (15944) Scientific Communication and Education (2094) Synthetic Biology (4546) Systems Biology (10202) Zoology (2381)
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