Evidence map›Paper›PMID 29871653›Full record

ArticleGenome biology2018

SINC-seq: correlation of transient gene expressions between nucleus and cytoplasm reflects single-cell physiology.

Mahmoud N Abdelmoez, Kei Iida, Yusuke Oguchi, Hidekazu Nishikii, Ryuji Yokokawa, Hidetoshi Kotera, Sotaro Uemura, Juan G Santiago, Hirofumi Shintaku

Abstract read
In one paragraph

Article in Genome biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

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  14. Refining the Molecular Framework for Pancreatic Cancer with Single-cell and Spatial Technologies.Clinical cancer research : an official journal of the American Association for Cancer Research · 2021
    Review
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  19. The enteric nervous system: the hub in a star network.Nature reviews. Gastroenterology & hepatology · 2020
    Article
  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

9 authors.

Mahmoud N AbdelmoezDepartment of Micro Engineering, Graduate School of Engineering, Kyoto University, Kyoto, Japan.
Kei IidaMedical Research Support Center, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Yusuke OguchiDepartment of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, Japan.
Hidekazu NishikiiDepartment of Hematology, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan.
Ryuji YokokawaDepartment of Micro Engineering, Graduate School of Engineering, Kyoto University, Kyoto, Japan.
Hidetoshi KoteraDepartment of Micro Engineering, Graduate School of Engineering, Kyoto University, Kyoto, Japan.
Sotaro UemuraDepartment of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, Japan.
Juan G SantiagoDepartment of Mechanical Engineering, Stanford University, Stanford, CA, USA.
Hirofumi ShintakuDepartment of Micro Engineering, Graduate School of Engineering, Kyoto University, Kyoto, Japan. hirofumi.shintaku@riken.jp.ORCID 0000-0002-9972-4222

Funding

ImPACT Program of Council for Science, Technology, and Innovation (Cabinet Office, Government of Japan) NAJapan Society for the Promotion of Science 26289035Japan Society for the Promotion of Science (JP) 26630052
6 · The paper itself

Abstract

We report a microfluidic system that physically separates nuclear RNA (nucRNA) and cytoplasmic RNA (cytRNA) from a single cell and enables single-cell integrated nucRNA and cytRNA-sequencing (SINC-seq). SINC-seq constructs two individual RNA-seq libraries, nucRNA and cytRNA, per cell, quantifies gene expression in the subcellular compartments, and combines them to create novel single-cell RNA-seq data. Leveraging SINC-seq, we discover distinct natures of correlation among cytRNA and nucRNA that reflect the transient physiological state of single cells. These data provide unique insights into the regulatory network of messenger RNA from the nucleus toward the cytoplasm at the single-cell level.

Indexed as

Cell Line, TumorCell NucleusCell Physiological PhenomenaCytoplasmGene ExpressionGene LibraryHigh-Throughput Nucleotide SequencingHumansK562 CellsRNASequence Analysis, RNASingle-Cell AnalysisRNACytoplasmIsotachophoresisMicrofluidicsNucleusRNA-seqRNA transportSingle cellSplicing

Identifiers

PMID29871653
PMCPMC5989370

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.