Evidence map›Paper›PMID 37311254›Full record

ArticleThe journal of physical chemistry. B2023

Toward Gene-Correlated Spatially Resolved Metabolomics with Fingerprint Coherent Raman Imaging.

Rajas Poorna, Wei-Wen Chen, Peng Qiu, Marcus T Cicerone

Erratum issuedAbstract read
In one paragraph

Article in The journal of physical chemistry. B, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Imaging immunometabolismImmunometabolism (Cobham, Surrey) · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Rajas PoornaDepartment of Chemical and Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID 0000-0002-5067-0729
Wei-Wen ChenDepartment of Chemistry, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
Peng QiuDepartment of Biomedical Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
Marcus T CiceroneDepartment of Chemistry, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.ORCID 0000-0002-2718-6533

Funding

Label-Free Cell-Resolved Metabolomics for Tumor MicroscopyR21CA240214 · NCI · GEORGIA INSTITUTE OF TECHNOLOGY · PI CICERONE, MARCUS T · 2020 to 2022
$583k
NCI NIH HHS R21 CA240214
6 · The paper itself

Abstract

Raman spectroscopy has long been known to provide sufficient information to discriminate distinct cell phenotypes. Underlying this discriminating capability is that Raman spectra provide an overall readout of the metabolic profiles that change with transcriptomic activity. Robustly associating Raman spectral changes with the regulation of specific signaling pathways may be possible, but the spectral signals of interest may be weak and vary somewhat among individuals. Establishing a Raman-to-transcriptome mapping will thus require tightly controlled and easily manipulated biological systems and high-throughput spectral acquisition. We attempt to meet these requirements using broadband coherent anti-Stokes Raman scattering (BCARS) microscopy to spatio-spectrally map the

Indexed as

Caenorhabditis elegansNonlinear Optical MicroscopyAnimalsMetabolomicsSpectrum Analysis, Raman

Identifiers

PMID37311254
PMCPMC10316396

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.