Evidence map›Paper›PMID 36231040›Full record

ReviewCells2022

Technologies Enabling Single-Molecule Super-Resolution Imaging of mRNA.

Mark Tingey, Steven J Schnell, Wenlan Yu, Jason Saredy, Samuel Junod, Dhrumil Patel, Abdullah A Alkurdi, Weidong Yang

Abstract readReview
In one paragraph

Review in Cells, 2022. 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. Review
  2. Review
  3. Article
  4. Article
  5. Translation Dynamics of Single mRNAs in Live Cells.Annual review of biophysics · 2024
    Review
  6. Review
  7. Article
  8. Review
  9. Review
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

8 authors.

Mark TingeyDepartment of Biology, Temple University, Philadelphia, PA 19122, USA.ORCID 0000-0002-0365-5585
Steven J SchnellDepartment of Biology, Temple University, Philadelphia, PA 19122, USA.
Wenlan YuDepartment of Biology, Temple University, Philadelphia, PA 19122, USA.
Jason SaredyDepartment of Biology, Temple University, Philadelphia, PA 19122, USA.
Samuel JunodDepartment of Biology, Temple University, Philadelphia, PA 19122, USA.
Dhrumil PatelDepartment of Biology, Temple University, Philadelphia, PA 19122, USA.
Abdullah A AlkurdiDepartment of Biology, Temple University, Philadelphia, PA 19122, USA.
Weidong YangDepartment of Biology, Temple University, Philadelphia, PA 19122, USA.ORCID 0000-0002-3649-1863

Funding

Super-resolution Microscopy Study of Molecular Transport MechanismsR35GM122552 · NIGMS · TEMPLE UNIV OF THE COMMONWEALTH · PI Weidong Yang · 2017 to 2026
$4.5M
NIGMS NIH HHS R35 GM122552
6 · The paper itself

Abstract

The transient nature of RNA has rendered it one of the more difficult biological targets for imaging. This difficulty stems both from the physical properties of RNA as well as the temporal constraints associated therewith. These concerns are further complicated by the difficulty in imaging endogenous RNA within a cell that has been transfected with a target sequence. These concerns, combined with traditional concerns associated with super-resolution light microscopy has made the imaging of this critical target difficult. Recent advances have provided researchers the tools to image endogenous RNA in live cells at both the cellular and single-molecule level. Here, we review techniques used for labeling and imaging RNA with special emphases on various labeling methods and a virtual 3D super-resolution imaging technique.

Indexed as

Imaging, Three-DimensionalSingle Molecule ImagingRNARNA, MessengerRNARNA, MessengerCRISPR-Cas13CRISPR-Cas9FISHmolecular beaconsmRNAMS2-MCPMTRIPsseqFISHsingle-molecule super-resolution microscopysmFISHSMLM

Identifiers

PMID36231040
PMCPMC9564294

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.