Evidence map›Paper›PMID 25605384›Full record

ArticleMethods in enzymology2015

Live-cell imaging of mammalian RNAs with Spinach2.

Rita L Strack, Samie R Jaffrey

Abstract read
In one paragraph

Article in Methods in enzymology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
8.0field-weighted citation impact, top 3% of its field
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

14 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Nucleic-Acid Structures as Intracellular Probes for Live Cells.Advanced materials (Deerfield Beach, Fla.) · 2020
    Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Visual detection of Flavivirus RNA in living cells.Methods (San Diego, Calif.) · 2016
    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

2 authors at 1 institution in 1 country.

Rita L StrackDepartment of Pharmacology, Weill Medical College, Cornell University, New York, New York, USA.
Samie R JaffreyDepartment of Pharmacology, Weill Medical College, Cornell University, New York, New York, USA. Electronic address: srj2003@med.cornell.edu.
Cornell University · US

Funding

Engineering RNA-activated fluorescence switches for RNA imaging and analyte sensiR01NS064516 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI JAFFREY, SAMIE R · 2009 to 2018
$3.6M
Utilizing novel RNA mimics of GFP to image translationF32GM106683 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI STRACK, RITA LEE · 2013 to 2014
$66k
NIGMS NIH HHS F32 GM106683NINDS NIH HHS NS010249NINDS NIH HHS R01 NS064516
6 · The paper itself

Abstract

The ability to monitor RNAs of interest in living cells is crucial to understanding the function, dynamics, and regulation of this important class of molecules. In recent years, numerous strategies have been developed with the goal of imaging individual RNAs of interest in living cells, each with their own advantages and limitations. This chapter provides an overview of current methods of live-cell RNA imaging, including a detailed discussion of genetically encoded strategies for labeling RNAs in mammalian cells. This chapter then focuses on the development and use of "RNA mimics of GFP" or Spinach technology for tagging mammalian RNAs and includes a detailed protocol for imaging 5S and CGG60 RNA with the recently described Spinach2 tag.

Indexed as

AnimalsMammalsMicroscopy, FluorescenceRNARNAAptamerFluorescence microscopyLive-cell imagingRNA imagingSpinachTrinucleotide-repeat RNA

Identifiers

PMID25605384
PMCPMC4382203
OpenAlexW190123734

What OpenQuestion holds

Textmetadata
LicenceTDM
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.