Evidence map›Paper›PMID 36695570›Full record

ArticleJournal of proteome research2023

Data-Driven and Machine Learning-Based Framework for Image-Guided Single-Cell Mass Spectrometry.

Yuxuan Richard Xie, Varsha K Chari, Daniel C Castro, Romans Grant, Stanislav S Rubakhin, Jonathan V Sweedler

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

11 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
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  9. Review
  10. Single Cell Analysis of Proteoforms.Journal of proteome research · 2024
    Article
  11. Article
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.

Yuxuan Richard XieORCID 0000-0003-1664-9114
Varsha K Chari
Romans Grant
Stanislav S RubakhinORCID 0000-0003-0437-1493
Jonathan V SweedlerORCID 0000-0003-3107-9922
University of Illinois Urbana-Champaign · US

Funding

The UIUC Neuroproteomics Center on Cell-Cell SignalingP30DA018310 · NIDA · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI Elena V Romanova · 2004 to 2026
$24.9M
Center for Sub-Cellular GenomicsRM1HG010023 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI EBERWINE, JAMES H, KIM, JUNHYONG · 2018 to 2022
$11.0M
High-Throughput 3D Multiscale Mass Spectrometry Imaging for Understanding Neurochemical Heterogeneity in Alzheimer's DiseaseR01AG078797 · NIA · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Fan Lam, Orly Lazarov · 2022 to 2026
$3.6M
NHGRI NIH HHS RM1 HG010023NIA NIH HHS R01 AG078797NIDA NIH HHS P30 DA018310
6 · The paper itself

Abstract

Improved throughput of analysis and lowered limits of detection have allowed single-cell chemical analysis to go beyond the detection of a few molecules in such volume-limited samples, enabling researchers to characterize different functional states of individual cells. Image-guided single-cell mass spectrometry leverages optical and fluorescence microscopy in the high-throughput analysis of cellular and subcellular targets. In this work, we propose DATSIGMA (

Indexed as

Machine LearningSingle-Cell AnalysisBrainMass SpectrometryWorkflowdata-driven analysismachine learningmass spectrometrysingle-cell analysis

Identifiers

PMID36695570
PMCPMC9901547
OpenAlexW4317937156

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.