Linking live-cell behavior to transcriptional responses across perturbations using dynamic caging

May 8, 2026·
Brian Orcutt-Jahns
Brian Orcutt-Jahns
,
R. a. r. hueros
,
A. m. meireles
,
C. cox
,
L. ghita
,
J. kamm
,
C. celen
Yiming Yang
Yiming Yang
,
E. zargari pariset
,
N. rouzbeh
,
Y. zhou
,
J. wang
,
S. sabri
,
T. kudo
,
P. i. thakore
,
D. richmond
,
T. biancalani
,
H. kim
,
P. f. gherardini
,
G. p. schroth
,
S. j. turley
,
O. rozenblatt rosen
,
H. c. bravo
Dr. Bo Li
Dr. Bo Li
,
K. geiger schuller
· 0 min read
Abstract
Single-cell technologies, encompassing molecular, morphological, and functional assays, have emerged as cornerstones of modern biological research and discovery. However, current experimental methods often fail to explicitly link these ‘omic’ modalities, especially in live cells or longitudinally through time, impeding the study of multi-scale interactions and mechanisms of regulation. CellCage Enclosure (CCE) technology overcomes these limitations by dynamically compartmentalizing cells, allowing for scalable, live-cell, longitudinal exploration and simultaneous analysis of transcriptomic, proteomic, and morphological profiles. Using this novel technology, we generate previously inaccessible insights across various in vitro cellular systems under a diverse set of perturbations, including the discovery of morphological and proteomic features linked to immune suppressive gene set expression in human primary regulatory T cells (Tregs), as well as direct association of morphological and proteomic features with inflammatory gene modules in human colonic fibroblasts. We then develop a novel pooled CRISPR genetic screening technology using CCEs, PERTURB-LINK (PERTURBational LINKage of transcriptomics and imaging in single cells via enclosure-based screening) and apply this approach in murine bone marrow derived macrophages (BMDMs), enabling multiomic dissection of NF-κB pathway regulation in response to lipopolysaccharide (LPS) stimulation. Together, these findings demonstrate the broad impact that advancements in live-cell, paired multimodal technologies, especially upon perturbation, may offer in deepening our understanding of cellular biology.
Type
Publication
bioRxiv
Brian Orcutt-Jahns
Authors
Postdoctoral Fellow
Brian Orcutt-Jahns is a postdoctoral Fellow in Li Lab.
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Authors
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Yiming Yang
Authors
Bioinformatics Software Engineer
Yiming Yang is a bioinformatics software engineer in Li Lab.
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Authors
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Dr. Bo Li
Authors
Principal Scientist II
Dr. Bo Li is a Principal Scientist at Genentech, Inc. His research focuses on large-scale single-cell genomics data analysis. Before joining in Genentech, he was an Assistant Professor of Medicine at Harvard Medical School and the director of Bioinformatics and Computational Biology at Center for Immunology and Inflammatory Diseases, Massachusetts General Hospital. He received his Ph.D. in computer science from UW-Madison and completed two postdoctoral trainings with Dr. Lior Pachter at UC Berkeley and Dr. Aviv Regev at Broad Institute. He is best known for developing RSEM, an impactful RNA-seq transcript quantification software. RSEM is cited 22,602 times (Google Scholar) and adopted by several big consortia such as TCGA, ENCODE, GTEx and TOPMed.