Evidence map›Paper›PMID 39075149›Full record

ArticleNature biotechnology2025

Signal amplification by cyclic extension enables high-sensitivity single-cell mass cytometry.

Xiao-Kang Lun, Kuanwei Sheng, Xueyang Yu, Ching Yeung Lam, Gokul Gowri, Matthew Serrata, Yunhao Zhai, Hanquan Su, Jingyi Luan, Youngeun Kim and 4 more

Abstract read
In one paragraph

Article in Nature biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Xiao-Kang Lun *Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA.
Kuanwei Sheng *Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA.ORCID http://orcid.org/0000-0002-7155-9915
Xueyang YuDepartments of Biology and Bioengineering, Koch Institute for Integrative Cancer Research, MIT Center for Precision Cancer Medicine, Massachusetts Institute of Technology, Cambridge, MA, USA.
Ching Yeung LamMount Sinai Health Systems and Department of Molecular Genetics, Lunenfeld Tanenbaum Research Institute, University of Toronto, Toronto, Ontario, Canada.ORCID http://orcid.org/0009-0006-4506-5432
Gokul GowriWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA.ORCID http://orcid.org/0000-0003-0911-6889
Matthew SerrataWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA.
Yunhao ZhaiWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA.
Hanquan SuWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA.
Jingyi LuanWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA.
Youngeun KimWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA.
Donald E IngberWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA.ORCID http://orcid.org/0000-0002-4319-6520
Hartland W JacksonMount Sinai Health Systems and Department of Molecular Genetics, Lunenfeld Tanenbaum Research Institute, University of Toronto, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0001-6423-2415
Michael B YaffeDepartments of Biology and Bioengineering, Koch Institute for Integrative Cancer Research, MIT Center for Precision Cancer Medicine, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-9547-3251
Peng YinWyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA. Peng_Yin@hms.harvard.edu.ORCID http://orcid.org/0000-0002-2769-6357

Funding

High-throughput single-molecule protein identification via super-resolution imagingDP1GM133052 · NIGMS · HARVARD UNIVERSITY · PI YIN, PENG · 2018 to 2022
$6.6M
Platform technologies for scalable highly multiplexed proteomic phenotyping of the brainRF1MH128861 · NIMH · HARVARD UNIVERSITY · PI CHUNG, KWANGHUN, DONG, HONG-WEI · 2021 to 2021
$5.5M
Protein Kinase Signaling in the Genotoxic Stress ResponseR35ES028374 · NIEHS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI YAFFE, MICHAEL B · 2017 to 2024
$3.9M
Multiplexed Nanoscale Protein Mapping Through Expansion Microscopy and Immuno-SABERRF1MH124606 · NIMH · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BOYDEN, EDWARD S., YIN, PENG · 2020 to 2020
$2.7M
RNA-Binding Proteins as Molecular Integrators that Control the Response of HGSOC to Ant-Cancer TherapiesR01CA226898 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BURGE, CHRISTOPHER B, HEMANN, MICHAEL · 2019 to 2023
$2.7M
Decoding chromosome structure with multiplexed super-resolution microscopyR01GM124401 · NIGMS · HARVARD UNIVERSITY · PI YIN, PENG · 2018 to 2021
$2.5M
High-Throughput, Highly Multiplexed In Situ Proteomic Imaging of Human TissuesUH3CA255133 · NCI · HARVARD UNIVERSITY · PI YIN, PENG · 2020 to 2021
$1.1M
High-Throughput, Highly Multiplexed In Situ Proteomic Imaging of Human TissuesUG3HL145600 · NHLBI · HARVARD UNIVERSITY · PI YIN, PENG · 2018 to 2019
$833k
Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) CA226898Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) DP1GM133052Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) ES028374Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) R01GM124401Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) RF1MH124606Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) RF1MH128861Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) UH3CA255133NCI NIH HHS R01 CA226898NCI NIH HHS UH3 CA255133NHLBI NIH HHS UG3 HL145600NIEHS NIH HHS R35 ES028374NIGMS NIH HHS DP1 GM133052NIGMS NIH HHS R01 GM124401NIMH NIH HHS RF1 MH124606NIMH NIH HHS RF1 MH128861Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) P400PB_199243
6 · The paper itself

Abstract

Mass cytometry uses metal-isotope-tagged antibodies to label targets of interest, which enables simultaneous measurements of ~50 proteins or protein modifications in millions of single cells, but its sensitivity is limited. Here, we present a signal amplification technology, termed Amplification by Cyclic Extension (ACE), implementing thermal-cycling-based DNA in situ concatenation in combination with 3-cyanovinylcarbazole phosphoramidite-based DNA crosslinking to enable signal amplification simultaneously on >30 protein epitopes. We demonstrate the utility of ACE in low-abundance protein quantification with suspension mass cytometry to characterize molecular reprogramming during the epithelial-to-mesenchymal transition as well as the mesenchymal-to-epithelial transition. We show the capability of ACE to quantify the dynamics of signaling network responses in human T lymphocytes. We further present the application of ACE in imaging mass cytometry-based multiparametric tissue imaging to identify tissue compartments and profile spatial aspects related to pathological states in polycystic kidney tissues.

Indexed as

Single-Cell AnalysisEpithelial-Mesenchymal TransitionHumansT-Lymphocytes

Identifiers

PMID39075149
PMCPMC11910986

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.