Evidence map›Paper›PMID 40638053›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Spatiotemporally Resolved Profiling of Protein Movement by TransitID.

Hongyang Guo, Chengxue Zhang, Wei Qin

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Hongyang GuoSchool of Pharmaceutical Sciences, Tsinghua University, Beijing, China.
Chengxue ZhangSchool of Pharmaceutical Sciences, Tsinghua University, Beijing, China.
Wei QinSchool of Pharmaceutical Sciences, Tsinghua University, Beijing, China. weiqin@tsinghua.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein functions are tightly associated with their locations and can be dynamically regulated by movement between cellular regions. Traditional methods, such as fluorescent protein-based imaging and fractionation-coupled proteomics, have fundamental limitations in the unbiased discovery of protein trafficking events. Proximity labeling (PL) technology has emerged as a versatile tool in spatial proteomics based on genetically encoded promiscuous enzymes, which generate reactive species to tag endogenous proteins. Although it has been widely applied to provide snapshots of subcellular proteomes, traditional PL fails to effectively map dynamic protein trafficking. To overcome this challenge, TransitID was developed to map endogenous proteome trafficking with nanometer spatial resolution within and between living cells. Two orthogonal PL enzymes, TurboID and APEX2, are targeted to source and destination regions, respectively, followed by tandem PL to record protein movement. Here, we summarize the materials and experimental procedures for TransitID, enabling the analysis of protein trafficking between organelles and neighboring cells.

Indexed as

ProteomicsHumansProtein TransportProteomeStaining and LabelingProteomeIntercellular communicationOrganellesProtein traffickingProximity labelingSpatial proteomics

Identifiers

What OpenQuestion holds

Textmetadata
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.