Evidence map›Paper›PMID 41857183›Full record

ReviewNature reviews. Molecular cell biology2026

Technologies to measure and modulate protein subcellular localization.

William Leineweber, Reika Tei, Anna Mäkiniemi, Alice Ting, Emma Lundberg

Abstract readReview
In one paragraph

Review in Nature reviews. Molecular cell biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Subcellular localization as a driver of protein function.Nature reviews. Molecular cell biology · 2026
    Review
  2. Article
  3. 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

5 authors.

William LeineweberBioengineering Department, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-3069-398X
Reika TeiDepartment of Genetics, Stanford University, Stanford, CA, USA.
Anna MäkiniemiScience for Life Laboratory, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-3036-2606
Alice TingDepartment of Genetics, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-8277-5226
Emma LundbergBioengineering Department, Stanford University, Stanford, CA, USA. emmalu@stanford.edu.ORCID http://orcid.org/0000-0001-7034-0850

Funding

Bridge2AI: Cell Maps for AI (CM4AI) Data Generation ProjectOT2OD032742 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Jean-Christophe Bélisle-Pipon, TIMOTHY W CLARK · 2022 to 2026
$21.5M
The Cancer Cell Map Initiative v2.0U54CA274502 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Trey Ideker · 2022 to 2026
$14.2M
PROMINENT - StanfordOT2CA278713 · NCI · STANFORD UNIVERSITY · PI Emma Lundberg · 2022 to 2026
$3.7M
NCI NIH HHS OT2 CA278713NCI NIH HHS U54 CA274502NIH HHS OT2 OD032742
6 · The paper itself

Abstract

How proteins localize to specific compartments, function in coordination with other biomolecules and, ultimately, contribute to diverse cellular activities are crucial questions in cell biology. Complicating the answers to these questions are multilocalizing and multifunctional proteins, whose impact on the cell depends on both spatial and temporal contexts. Therefore, contextualizing protein functions based on their subcellular localization is necessary to fully understand cell behaviours. Recent advances in instrumentation and protein labelling techniques are rapidly increasing the availability of tools, technologies and applications that measure and control protein localization and compartment-specific function. In this Review, we first discuss microscopy, mass spectrometry-based correlation profiling and proximity labelling methods that assign localizations to proteins, ranging from cellular compartments to protein-protein interactions. We next examine the available tools for manipulating protein localization and measuring the effects of these manipulations, including localization tags and bifunctional molecules. For each technology, we assess the strengths and weaknesses that ultimately determine their usefulness. We conclude with an outlook on future technological advances in the field of spatial subcellular proteomics and their potential implications for cell biology and clinical applications.

Indexed as

ProteinsProteomicsAnimalsHumansMass SpectrometryProtein TransportProteins

Identifiers

PMID41857183
PMCPMC13399438

What Socratic holds

Textmetadata
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Read underepoch 390

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 Socratic graph.