Evidence map›Paper›PMID 36098382›Full record

ArticleeLife2022

A unified view of low complexity regions (LCRs) across species.

Byron Lee, Nima Jaberi-Lashkari, Eliezer Calo

Abstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
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  5. bioRxiv : the preprint server for biology · 2026
    Article
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  7. Article
  8. Review
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  11. Article
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  13. Article
  14. The Regulatory Role ofAnimals : an open access journal from MDPI · 2024
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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.

Byron Lee *Department of Biology, Massachusetts Institute of Technology, Cambridge, United States.ORCID 0000-0001-7132-2662
Nima Jaberi-Lashkari *Department of Biology, Massachusetts Institute of Technology, Cambridge, United States.ORCID 0000-0002-0238-9078
Eliezer CaloDepartment of Biology, Massachusetts Institute of Technology, Cambridge, United States.ORCID 0000-0002-3006-2742

Funding

VIRUS PRODUCTION COREP30CA014051 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Paula T Hammond · 1985 to 2026
$93.9M
PRE-DOCTORAL TRAINING IN THE BIOLOGICAL SCIENCEST32GM007287 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BELL, STEPHEN P., KEATING, AMY E · 1985 to 2019
$40.8M
Mechanisms regulating ribosome assembly and function in stem cells and vertebrate development.R35GM142634 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Eliezer Calo-Velazquez · 2021 to 2026
$2.3M
NCI NIH HHS P30 CA014051NIGMS NIH HHS R35 GM142634NIGMS NIH HHS T32 GM007287
6 · The paper itself

Abstract

Low complexity regions (LCRs) play a role in a variety of important biological processes, yet we lack a unified view of their sequences, features, relationships, and functions. Here, we use dotplots and dimensionality reduction to systematically define LCR type/copy relationships and create a map of LCR sequence space capable of integrating LCR features and functions. By defining LCR relationships across the proteome, we provide insight into how LCR type and copy number contribute to higher order assemblies, such as the importance of K-rich LCR copy number for assembly of the nucleolar protein RPA43 in vivo and in vitro. With LCR maps, we reveal the underlying structure of LCR sequence space, and relate differential occupancy in this space to the conservation and emergence of higher order assemblies, including the metazoan extracellular matrix and plant cell wall. Together, LCR relationships and maps uncover and identify scaffold-client relationships among E-rich LCR-containing proteins in the nucleolus, and revealed previously undescribed regions of LCR sequence space with signatures of higher order assemblies, including a teleost-specific T/H-rich sequence space. Thus, this unified view of LCRs enables discovery of how LCRs encode higher order assemblies of organisms.

Indexed as

Species SpecificityAnimalsHumansA. thalianabiological assemblyC. eleganscell biologycomputational biologyD. melanogasterhumanL. oculatuslow complexity regionM. musculusmultivalent proteinsproteomeS. cerevisiaesequence spacesystems biologyzebrafish

Identifiers

PMID36098382
PMCPMC9470157

What OpenQuestion holds

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Registered trials

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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.