Evidence map›Paper›PMID 32421779›Full record

ArticleNucleic acids research2020

Transcriptome-wide organization of subcellular microenvironments revealed by ATLAS-Seq.

Danielle A Adekunle, Eric T Wang

Abstract read
In one paragraph

Article in Nucleic acids research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Transcriptome-scale methods for uncovering subcellular RNA localization mechanisms.Biochimica et biophysica acta. Molecular cell research · 2022
    Review
  10. Review
  11. Review
  12. Review
  13. Subcellular proteomics.Nature reviews. Methods primers · 2021
    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

2 authors.

Danielle A AdekunleDepartment of Molecular Genetics & Microbiology, UF Genetics Institute, Center for NeuroGenetics, University of Florida, USA.
Eric T WangDepartment of Molecular Genetics & Microbiology, UF Genetics Institute, Center for NeuroGenetics, University of Florida, USA.

Funding

Ppst-transcriptional regulation of gene expression in neuromuscular diseaseDP5OD017865 · OD · UNIVERSITY OF FLORIDA · PI WANG, ERIC T · 2013 to 2017
$2.0M
NIH HHS DP5 OD017865
6 · The paper itself

Abstract

Subcellular organization of RNAs and proteins is critical for cell function, but we still lack global maps and conceptual frameworks for how these molecules are localized in cells and tissues. Here, we introduce ATLAS-Seq, which generates transcriptomes and proteomes from detergent-free tissue lysates fractionated across a sucrose gradient. Proteomic analysis of fractions confirmed separation of subcellular compartments. Unexpectedly, RNAs tended to co-sediment with other RNAs in similar protein complexes, cellular compartments, or with similar biological functions. With the exception of those encoding secreted proteins, most RNAs sedimented differently than their encoded protein counterparts. To identify RNA binding proteins potentially driving these patterns, we correlated their sedimentation profiles to all RNAs, confirming known interactions and predicting new associations. Hundreds of alternative RNA isoforms exhibited distinct sedimentation patterns across the gradient, despite sharing most of their coding sequence. These observations suggest that transcriptomes can be organized into networks of co-segregating mRNAs encoding functionally related proteins and provide insights into the establishment and maintenance of subcellular organization.

Indexed as

Cell FractionationCellular MicroenvironmentSequence Analysis, RNATranscriptomeAnimalsCell ExtractsCentrifugation, Density GradientFemaleIntracellular SpaceLiverMass SpectrometryMiceRibosomesRNARNA-Binding ProteinsSucroseCell ExtractsRNARNA-Binding ProteinsSucrose

Identifiers

PMID32421779
PMCPMC7293051

What OpenQuestion holds

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LicenceCC BY
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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.