Evidence map›Paper›PMID 34496693›Full record

ReviewExpert review of proteomics2021

Proximity labeling and other novel mass spectrometric approaches for spatiotemporal protein dynamics.

Lindsay Pino, Birgit Schilling

Abstract readReview
In one paragraph

Review in Expert review of proteomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Proteomic Technology.Advances in experimental medicine and biology · 2026
    Review
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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

2 authors.

Lindsay PinoDepartment of Biochemistry and Biophysics, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0003-1857-7222
Birgit SchillingDepartment of Proteomics and Aging, Buck Institute for Research on Aging, Novato, CA, USA.ORCID 0000-0001-9907-2749

Funding

IMMUNOBIOLOGY OF NORMAL AND NEOPLASTIC LYMPHOCYTEST32CA009140 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Malay Haldar, WARREN S PEAR · 1985 to 2026
$16.1M
Quantitative Proteomics to Develop Robust Senescence-Related Biomarkers for AgingU01AG060906 · NIA · BUCK INSTITUTE FOR RESEARCH ON AGING · PI SCHILLING, BIRGIT · 2018 to 2022
$4.0M
Orbitrap Fusion Lumos ETD with FAIMS ProS10OD028654 · OD · BUCK INSTITUTE FOR RESEARCH ON AGING · PI SCHILLING, BIRGIT · 2020 to 2020
$1.1M
NCI NIH HHS T32 CA009140NIA NIH HHS U01 AG060906NIH HHS S10 OD028654
6 · The paper itself

Abstract

backgroundProteins are highly dynamic and their biological function is controlled by not only temporal abundance changes but also via regulated protein-protein interaction networks, which respond to internal and external perturbations. A wealth of novel analytical reagents and workflows allow studying spatiotemporal protein environments with great granularity while maintaining high throughput and ease of analysis. AREAS COVERED: We review technology advances for measuring protein-protein proximity interactions with an emphasis on proximity labeling, and briefly summarize other spatiotemporal approaches including protein localization, and their dynamic changes over time, specifically in human cells and mammalian tissues. We focus especially on novel technologies and workflows emerging within the past 5 years. This includes enrichment-based techniques (proximity labeling and crosslinking), separation-based techniques (organelle fractionation and size exclusion chromatography), and finally sorting-based techniques (laser capture microdissection and mass spectrometry imaging). EXPERT OPINION: Spatiotemporal proteomics is a key step in assessing biological complexity, understanding refined regulatory mechanisms, and forming protein complexes and networks. Studying protein dynamics across space and time holds promise for gaining deep insights into how protein networks may be perturbed during disease and aging processes, and offer potential avenues for therapeutic interventions, drug discovery, and biomarker development.

Indexed as

ProteinsProteomicsHumansMass SpectrometryOrganellesProtein Interaction MapsProteinsChemical crosslinkingmass spectrometryprotein interactomeprotein networksprotein turnoverproximity labeling

Identifiers

PMID34496693
PMCPMC8650568

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.