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STAMP: Single-cell transcriptomics analysis and multimodal profiling through imaging

delete2025-06-17
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OA
AI
E
Emanuele Pitino
A
Anna Pascual Reguant
F
Felipe Segato-Dezem
K
Kellie Wise
I
Irepan Salvador‐Martínez
H
Helena L. Crowell
M
Maycon Marção
M
Max Ruiz
E
Elise T. Courtois
W
William F. Flynn
S
Santhosh Sivajothi
E
Emily Soja
G
Ginevra Caratù
G
German Atzin Mora-Roldan
B
B. Kate Dredge
Y
Yutian Liu
H
Hannah Chasteen
M
Monika Mohenska
J
Juan C. Nieto
R
Raymond K. H. Yip
R
Ruvimbo D Mishi
J
J. M. Polo
M
Mohmed Abdalfttah
A
Adrienne E. Sullivan
J
Jasmine Plummer *
H
Holger Heyn *
L
Luciano G. Martelotto *
DOI:10.1016/j.cell.2025.05.027delete
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Abstract

Abstract

En 中文
• STAMP enables scalable and flexible single-cell genomics by imaging • Cost-efficient single-cell profiling of millions of cells without sequencing • Multimodal single-cell analysis of RNA, protein, cell structure, and morphology • Versatile application in high-throughput research and clinical settings
Keywords:
single cell
imaging
transcriptomics
proteomics
genomics
multimodal
phenotyping
cell atlas
stem cells
circulating tumor cells

Journal

Cell cover
Cell
IF:
42.5
Papers:
1.1K
Citations:
31.1W

Organization

T
The University of Adelaide
Scholars:
993
Papers: 452
Citations: 4
C
centro nacional de análisis genómico (cnag)
Scholars:
57
Papers: 20
Citations: 0
S
spanish national cancer research centre (cnio)
Scholars:
69
Papers: 17
Citations: 0
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