Evidence map›Paper›PMID 39885126›Full record

ArticleNature communications2025

SEC-MX: an approach to systematically study the interplay between protein assembly states and phosphorylation.

Ella Doron-Mandel, Benjamin J Bokor, Yanzhe Ma, Lena A Street, Lauren C Tang, Ahmed A Abdou, Neel H Shah, George Rosenberger, Marko Jovanovic

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Ella Doron-Mandel *Department of Biological Sciences, Columbia University, New York, NY, USA. ed2853@columbia.edu.ORCID http://orcid.org/0000-0002-2519-5938
Benjamin J Bokor *Department of Biological Sciences, Columbia University, New York, NY, USA.
Yanzhe Ma *Department of Biological Sciences, Columbia University, New York, NY, USA.
Lena A StreetDepartment of Biological Sciences, Columbia University, New York, NY, USA.
Lauren C TangDepartment of Biological Sciences, Columbia University, New York, NY, USA.
Ahmed A AbdouDepartment of Biological Sciences, Columbia University, New York, NY, USA.
Neel H ShahDepartment of Chemistry, Columbia University, New York, NY, USA.ORCID http://orcid.org/0000-0002-1186-0626
George RosenbergerDepartment of Systems Biology, Columbia University, New York, NY, USA.ORCID http://orcid.org/0000-0002-1655-6789
Marko JovanovicDepartment of Biological Sciences, Columbia University, New York, NY, USA. mj2794@columbia.edu.ORCID http://orcid.org/0000-0001-9707-3377

Funding

Extensive multiplexing of protein nucleic-acid interactions to comprehensively study gene expression regulation from chromatin to mRNA degradationR01HG012216 · NHGRI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI GUTTMAN, MITCHELL, JOVANOVIC, MARKO · 2022 to 2025
$3.1M
Defining the programmed proteome rejuvenation underlying gametogenesisR01AG071869 · NIA · UNIVERSITY OF CALIFORNIA BERKELEY · PI BRAR, GLORIA ANN, JOVANOVIC, MARKO · 2021 to 2025
$2.9M
Regulation of Protein Production Dynamics:RNA Binding Proteins and the Ribosome CodeR35GM128802 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI JOVANOVIC, MARKO · 2018 to 2022
$2.3M
Probing tyrosine phosphatase structure and functionR35GM138014 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI SHAH, NEEL H · 2020 to 2024
$2.3M
How dynamic interactions of RNA binding proteins control activity-dependent translation in neuronsK99NS135103 · NINDS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI DORON-MANDEL, ELLA · 2024 to 2025
$246k
National Science Foundation (NSF) 2224211National Science Foundation (NSF) DGE 2036197NHGRI NIH HHS R01 HG012216NIA NIH HHS R01 AG071869NIGMS NIH HHS R35 GM128802NIGMS NIH HHS R35 GM138014NINDS NIH HHS K99 NS135103U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS) 1K99NS135103-01
6 · The paper itself

Abstract

A protein's molecular interactions and post-translational modifications (PTMs), such as phosphorylation, can be co-dependent and reciprocally co-regulate each other. Although this interplay is central for many biological processes, a systematic method to simultaneously study assembly states and PTMs from the same sample is critically missing. Here, we introduce SEC-MX (Size Exclusion Chromatography fractions MultipleXed), a global quantitative method combining Size Exclusion Chromatography and PTM-enrichment for simultaneous characterization of PTMs and assembly states. SEC-MX enhances throughput, allows phosphopeptide enrichment, and facilitates quantitative differential comparisons between biological conditions. Conducting SEC-MX on HEK293 and HCT116 cells, we generate a proof-of-concept dataset, mapping thousands of phosphopeptides and their assembly states. Our analysis reveals intricate relationships between phosphorylation events and assembly states and generates testable hypotheses for follow-up studies. Overall, we establish SEC-MX as a valuable tool for exploring protein functions and regulation beyond abundance changes.

Indexed as

Chromatography, GelProtein Processing, Post-TranslationalProteinsHCT116 CellsHEK293 CellsHumansPhosphopeptidesPhosphorylationProteomicsPhosphopeptidesProteins

Identifiers

PMID39885126
PMCPMC11782603

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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.