Evidence map›Paper›PMID 39707993›Full record

ArticleJournal of the American Chemical Society2025

Parallel Proteomic and Transcriptomic Microenvironment Mapping (μMap) of Nuclear Condensates in Living Cells.

Steve D Knutson, Chenmengxiao Roderick Pan, Niels Bisballe, Brandon J Bloomer, Philip Raftopolous, Iakovos Saridakis, David W C MacMillan

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 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

7 authors.

Steve D KnutsonDepartment of Chemistry, Princeton University, Princeton, New Jersey 08544, United States.
Chenmengxiao Roderick PanDepartment of Chemistry, Princeton University, Princeton, New Jersey 08544, United States.
Niels BisballeDepartment of Chemistry, Princeton University, Princeton, New Jersey 08544, United States.ORCID 0000-0002-4476-5481
Brandon J BloomerDepartment of Chemistry, Princeton University, Princeton, New Jersey 08544, United States.
Philip RaftopolousDepartment of Chemistry, Princeton University, Princeton, New Jersey 08544, United States.
Iakovos SaridakisDepartment of Chemistry, Princeton University, Princeton, New Jersey 08544, United States.ORCID 0000-0002-2690-5401
David W C MacMillanDepartment of Chemistry, Princeton University, Princeton, New Jersey 08544, United States.ORCID 0000-0001-6447-0587

Funding

Photoredox Catalysis Applications in Organometallics and Chemical BiologyR35GM134897 · NIGMS · PRINCETON UNIVERSITY · PI David W MacMillan · 2020 to 2026
$6.3M
Mechanistic Interrogation of Long Non-coding RNAs using Photocatalytic Proximity Labeling and CRISPR Phenotypic ProfilingK99GM154140 · NIGMS · PRINCETON UNIVERSITY · PI KNUTSON, STEVEN DOUGLAS · 2024 to 2025
$250k
High-Resolution Mapping of Subcellular RNA Dynamics Using Photocatalytic Proximity LabelingF32GM142206 · NIGMS · PRINCETON UNIVERSITY · PI KNUTSON, STEVEN DOUGLAS · 2021 to 2023
$202k
NIGMS NIH HHS F32 GM142206NIGMS NIH HHS K99 GM154140NIGMS NIH HHS R35 GM134897
6 · The paper itself

Abstract

Cellular activity is spatially organized across different organelles. While several structures are well-characterized, many organelles have unknown roles. Profiling biomolecular composition is key to understanding function but is difficult to achieve in the context of small, dynamic structures. Photoproximity labeling has emerged as a powerful tool for mapping these interaction networks, yet maximizing catalyst localization and reducing toxicity remains challenging in live cell applications. Here, we disclose a new intracellular photocatalyst with minimal cytotoxicity and off-target binding, and we utilize this catalyst for HaloTag-based microenvironment-mapping (μMap) to spatially catalog subnuclear condensates in living cells. We also specifically develop a novel RNA-focused workflow (μMap-seq) to enable parallel transcriptomic and proteomic profiling of these structures. After validating the accuracy of our approach, we generate a spatial map across the nucleolus, nuclear lamina, Cajal bodies, paraspeckles, and PML bodies. These results provide potential new insights into RNA metabolism and gene regulation while significantly expanding the μMap platform for improved live-cell proximity labeling in biological systems.

Indexed as

ProteomicsTranscriptomeCell NucleusHeLa CellsHumansRNARNA

Identifiers

PMID39707993
PMCPMC11792175

What OpenQuestion holds

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Registered trials

None linked

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.