Mapping the dialogue: Decoding alveolar stem–niche interactions

A Ahmad N. Nabhan (Department of Molecular and Cellular Biology, University of California) A Anne Biton (Computational Sciences, Genentech) C Christine Everett (Department of Molecular Discovery and Cancer Cell Biology, Genentech) C Conrad Foo (Department of Pathology, Genentech) D Diana Wu (Department of Molecular Discovery and Cancer Cell Biology, Genentech) J Joshua D. Webster A Alina A. Alam (Department of Molecular and Cellular Biology, University of California) E Elisa Penna (Department of Pathology, Genentech) S Sandra Rost (Department of Pathology, Genentech) N Neha Rohatgi (Roche Informatics, Hoffman-La Roche Canada) R Rohit Reja R Ranel J. Tulpano (Department of Molecular and Cellular Biology, University of California) S Shiqi Xie (Department of Molecular Discovery and Cancer Cell Biology, Genentech) C Celine Eidenschenk (Department of Molecular Discovery and Cancer Cell Biology, Genentech) K Kim Newton J Joseph R. Arron (Department of Immunology, Genentech) V Vishva M. Dixit

Abstract

While cellular atlases have revealed remarkable phenotypic diversity, how cells navigate this landscape to influence tissue behavior remains poorly understood. We present an alveolosphere screening platform for investigating interactions between lung stem cells and their fibroblast niche. We assessed the role of 201 candidate genes in stem cells via imaging, then used chimeric RNAseq analysis for a transcriptome-wide understanding of cell-autonomous effects on stem cells and non-cell-autonomous effects on the niche. This phenome-transcriptome map uncovered cellular states and pathways regulating proliferation, metabolism, and immune signaling. Notably, stem cells influenced scar-forming and immune programs in fibroblasts. This injury response was dependent on stem cell identity; loss of Nkx2.1 , encoding the transcription factor conferring lung epithelial identity, rewired stem cell–niche interactions and had a greater non-cell-autonomous effect than eliminating the cancer genes Trp53, Egfr, or Cdkn2b . Our study highlights how functional atlases complement the cellular diversity revealed by descriptive methods.

Article Details

Volume / Issue Vol. 123, Issue 28
Published July 14, 2026
ISSN 0027-8424
Publisher National Academy of Sciences

Authors (17)

A

Ahmad N. Nabhan

Department of Molecular and Cellular Biology, University of California

A

Anne Biton

Computational Sciences, Genentech

C

Christine Everett

Department of Molecular Discovery and Cancer Cell Biology, Genentech

C

Conrad Foo

Department of Pathology, Genentech

D

Diana Wu

Department of Molecular Discovery and Cancer Cell Biology, Genentech

J

Joshua D. Webster

A

Alina A. Alam

Department of Molecular and Cellular Biology, University of California

E

Elisa Penna

Department of Pathology, Genentech

S

Sandra Rost

Department of Pathology, Genentech

N

Neha Rohatgi

Roche Informatics, Hoffman-La Roche Canada

R

Rohit Reja

R

Ranel J. Tulpano

Department of Molecular and Cellular Biology, University of California

S

Shiqi Xie

Department of Molecular Discovery and Cancer Cell Biology, Genentech

C

Celine Eidenschenk

Department of Molecular Discovery and Cancer Cell Biology, Genentech

K

Kim Newton

J

Joseph R. Arron

Department of Immunology, Genentech

V

Vishva M. Dixit