Evidence map›Paper›PMID 41143723›Full record

ArticleACS sensors2025

Single-Molecule Array (Simoa) Technology as a Highly Sensitive Screening Tool for Protein-Protein Interactions.

Youngshin Lim, Maia Norman, Connie Chen, Il-Taeg Cho, David R Walt, Ginam Cho, Jeffrey A Golden

Abstract read
In one paragraph

Article in ACS sensors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Youngshin LimDepartment of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States.ORCID 0000-0002-7842-3244
Maia NormanDepartment of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, United States.
Connie ChenDepartment of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States.
Il-Taeg ChoBristol Myers Squibb, San Diego, California 92121, United States.
David R WaltDepartment of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, United States.ORCID 0000-0002-5524-7348
Ginam ChoDepartment of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States.
Jeffrey A GoldenDepartment of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, California 90048, United States.

Funding

Arx Associated Transcriptional Networks in Neocortical DevelopmentR01NS100007 · NINDS · CEDARS-SINAI MEDICAL CENTER · PI GOLDEN, JEFFREY A · 2018 to 2021
$1.5M
NINDS NIH HHS R01 NS100007
6 · The paper itself

Abstract

Transcription factor (TF) interactions are generally considered to be weak and transient, which enables the dynamic assembly and disassembly of transcription complexes. While advantageous for modulating cellular physiology, requiring rapid adaptation, these characteristics make it challenging to identify and study TF interactions using conventional methodologies. To overcome this issue, we have adapted an ultrasensitive single-molecule array (Simoa) assay, typically used for biomarker detection, to screen for and identify TF-TF interactions. Leveraging Simoa-based digital ELISA, we have screened the human transcription factor library for interaction partners of ARX (aristaless-related homeobox), a transcription factor associated with a wide spectrum of neurodevelopmental disorders. Our successful application of Simoa technology to a high-throughput screening for protein interaction partners opens up new opportunities to study transcription factor-transcription factor interactions, especially those that have been elusive to detect.

Indexed as

Homeodomain ProteinsProtein Interaction MappingSingle Molecule ImagingTranscription FactorsEnzyme-Linked Immunosorbent AssayHigh-Throughput Screening AssaysHumansProtein BindingHomeodomain ProteinsTranscription FactorsARXDigital ELISAProtein−protein interactionScreeningSimoaTranscription factors

Identifiers

PMID41143723
PMCPMC12967157

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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.