Evidence map›Paper›PMID 30472625›Full record

ReviewCurrent opinion in chemical biology2019

Proteomics of nucleocytoplasmic partitioning.

Thao Nguyen, Nishant Pappireddi, Martin Wühr

Abstract readReview
In one paragraph

Review in Current opinion in chemical biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Proteomics of the heart.Physiological reviews · 2024
    Review
  2. Thermal Stress and Nuclear Transport.Advances in experimental medicine and biology · 2024
    Review
  3. Review
  4. Article
  5. SP3-FAIMS Chemoproteomics for High-Coverage Profiling of the Human Cysteinome*.Chembiochem : a European journal of chemical biology · 2021
    Article
  6. Review
  7. Review
  8. Article
  9. 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

3 authors.

Thao NguyenDepartment of Molecular Biology & the Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA.
Nishant PappireddiDepartment of Molecular Biology & the Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA.
Martin WührDepartment of Molecular Biology & the Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA. Electronic address: wuhr@princeton.edu.

Funding

PREDOCTORAL TRAINING PROGRAM IN GENETICST32GM007388 · NIGMS · PRINCETON UNIVERSITY · PI CRISTEA, ILEANA M. · 1985 to 2022
$27.4M
Development of New Proteomics Technology and its Application to Study Cellular OrganizationR35GM128813 · NIGMS · PRINCETON UNIVERSITY · PI Martin Wühr · 2018 to 2026
$4.0M
NIGMS NIH HHS R35 GM128813NIGMS NIH HHS T32 GM007388
6 · The paper itself

Abstract

The partitioning of the proteome between nucleus and cytoplasm affects nearly every aspect of eukaryotic biology. Despite this central role, we still have a poor understanding of which proteins localize in the nucleus and how this varies in different cell types and conditions. Recent advances in quantitative proteomics and high-throughput imaging are starting to close this knowledge gap. Studies on protein interaction are beginning to reveal the spectrum of cargos of nuclear import and export receptors. We anticipate that it will soon be possible to predict each protein's nucleocytoplasmic localization based on its importin/exportin interactions and its estimated diffusion rate through the nuclear pore. This insight is likely to provide us with a fundamental understanding of how cells use nucleocytoplasmic partitioning to encode and relay information.

Indexed as

Active Transport, Cell NucleusAnimalsCell NucleusCytoplasmHumansKaryopherinsProtein Interaction MapsProtein TransportProteomeProteomicsKaryopherinsProteome

Identifiers

PMID30472625
PMCPMC6382543

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.