Evidence map›Paper›PMID 32698574›Full record

ArticleJournal of the American Chemical Society2020

Imaging Intracellular

Xing Li, Liuting Mo, Jacob L Litke, Sourav Kumar Dey, Scott R Suter, Samie R Jaffrey

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Chemical Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
3.8field-weighted citation impact, top 5% 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

32 citing papers in PubMed, 78 citations in OpenAlex.

  1. Article
  2. Article
  3. Identifying a cancer therapeutic target: Cell-SELEX identifies a membrane protein for aptamer-mediated growth suppression.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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  10. Article
  11. Review
  12. Article
  13. Article
  14. RSC advances · 2024
    Article
  15. Article
  16. Fluorogenic CRISPR for genomic DNA imaging.Nature communications · 2024
    Article
  17. Article
  18. Article
  19. Genetically encoded fluorescent sensors for metals in biology.Current opinion in chemical biology · 2023
    Review
  20. 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

6 authors at 1 institution in 1 country.

Xing LiDepartment of Pharmacology, Weill Cornell Medicine, Cornell University, New York, New York 10065, United States.
Liuting MoDepartment of Pharmacology, Weill Cornell Medicine, Cornell University, New York, New York 10065, United States.
Jacob L LitkeDepartment of Pharmacology, Weill Cornell Medicine, Cornell University, New York, New York 10065, United States.ORCID 0000-0002-2600-6131
Sourav Kumar DeyDepartment of Pharmacology, Weill Cornell Medicine, Cornell University, New York, New York 10065, United States.ORCID 0000-0002-6546-8937
Scott R SuterDepartment of Pharmacology, Weill Cornell Medicine, Cornell University, New York, New York 10065, United States.
Samie R JaffreyDepartment of Pharmacology, Weill Cornell Medicine, Cornell University, New York, New York 10065, United States.ORCID 0000-0003-3615-6958
Cornell University · US

Funding

New mechanisms and technologies for understanding post-transcriptional gene regulation in neuronsR35NS111631 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI SAMIE R JAFFREY · 2019 to 2026
$8.6M
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
Creation of self-modifying nucleotides to study lncRNA mechanismsF32GM137532 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI SUTER, SCOTT RYAN · 2020 to 2021
$131k
Engineered circular RNAs: A novel platform for genetically encoded RNA-based biosensors and their application as real-time viral infection reportersF31AI134100 · NIAID · WEILL MEDICAL COLL OF CORNELL UNIV · PI LITKE, JACOB · 2017 to 2019
$123k
NIAID NIH HHS F31 AI134100NIGMS NIH HHS F32 GM137532NINDS NIH HHS R01 NS064516NINDS NIH HHS R35 NS111631
6 · The paper itself

Abstract

To understand the role of intracellular metabolites in cellular processes, it is important to measure the dynamics and fluxes of small molecules in living cells. Although conventional metabolite sensors composed of fluorescent proteins have been made to detect some metabolites, an emerging approach is to use genetically encoded sensors composed of RNA. Because of the ability to rapidly generate metabolite-binding RNA aptamers, RNA-based sensors have the potential to be designed more readily than protein-based sensors. Numerous strategies have been developed to convert the green-fluorescent Spinach or Broccoli fluorogenic RNA aptamers into metabolite-regulated sensors. Nevertheless, red fluorescence is particularly desirable because of the low level of red background fluorescence in cells. However, the red fluorescent variant of the Broccoli aptamer, Red Broccoli, does not exhibit red fluorescence in cells when imaged with its cognate fluorophore. It is not known why Red Broccoli is fluorescent

Indexed as

Biosensing TechniquesFluorescenceOptical ImagingAptamers, NucleotideHEK293 CellsHumansMolecular StructureS-AdenosylmethionineAptamers, NucleotideS-Adenosylmethionine

Identifiers

PMID32698574
PMCPMC8158784
OpenAlexW3044867500

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.