Evidence map›Paper›PMID 29743503›Full record

ArticleScientific reports2018

qSR: a quantitative super-resolution analysis tool reveals the cell-cycle dependent organization of RNA Polymerase I in live human cells.

J O Andrews, W Conway, W-K Cho, A Narayanan, J-H Spille, N Jayanth, T Inoue, S Mullen, J Thaler, I I Cissé

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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  12. Physical Nature of Chromatin in the Nucleus.Cold Spring Harbor perspectives in biology · 2021
    Review
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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

10 authors.

J O AndrewsDepartment of Physics, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA.
W ConwayDepartment of Physics, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA.
W-K ChoDepartment of Physics, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA.ORCID 0000-0001-9336-0686
A NarayananDepartment of Physics, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA.
J-H SpilleDepartment of Physics, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA.ORCID 0000-0001-8493-4721
N JayanthDepartment of Physics, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA.
T InoueDepartment of Physics, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA.
S MullenDepartment of Physics, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA.
J ThalerDepartment of Physics, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA.
I I CisséDepartment of Physics, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA. icisse@mit.edu.ORCID 0000-0002-8764-1809

Funding

Center for 3D Structure and Physics of the GenomeU54DK107980 · NIDDK · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI DEKKER, JOB, MIRNY, LEONID A · 2015 to 2019
$14.9M
IMAGING TRANSCRIPTION WITH SINGLE MOLECULE RESOLUTION IN LIVE MAMMALIAN CELLSDP2CA195769 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI CISSE, IBRAHIM · 2014 to 2014
$2.3M
NCI NIH HHS DP2 CA195769NIDDK NIH HHS U54 DK107980
6 · The paper itself

Abstract

We present qSR, an analytical tool for the quantitative analysis of single molecule based super-resolution data. The software is created as an open-source platform integrating multiple algorithms for rigorous spatial and temporal characterizations of protein clusters in super-resolution data of living cells. First, we illustrate qSR using a sample live cell data of RNA Polymerase II (Pol II) as an example of highly dynamic sub-diffractive clusters. Then we utilize qSR to investigate the organization and dynamics of endogenous RNA Polymerase I (Pol I) in live human cells, throughout the cell cycle. Our analysis reveals a previously uncharacterized transient clustering of Pol I. Both stable and transient populations of Pol I clusters co-exist in individual living cells, and their relative fraction vary during cell cycle, in a manner correlating with global gene expression. Thus, qSR serves to facilitate the study of protein organization and dynamics with very high spatial and temporal resolutions directly in live cell.

Indexed as

Cell CycleData AnalysisSoftwareAlgorithmsBenzothiazolesCell Line, TumorCell SurvivalEnzyme AssaysHumansNaphthyridinesRNA Polymerase ITranscription, GeneticBenzothiazolesCX 5461NaphthyridinesRNA Polymerase I

Identifiers

PMID29743503
PMCPMC5943247

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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.