Evidence map›Paper›PMID 39052210›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

A Multiplexed Single-Cell Proteomic Workflow Applicable to Drug Treatment Studies.

Colten D Eberhard, Benjamin C Orsburn

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Colten D EberhardThe Department of Pharmacology and Molecular Sciences, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Benjamin C OrsburnThe Department of Pharmacology and Molecular Sciences, The Johns Hopkins University School of Medicine, Baltimore, MD, USA. borsbur1@jhmi.edu.

Funding

Cellular Signaling in Drug Induced ToxicityR01GM103853 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI ORSBURN, BENJAMIN CARL · 2013 to 2022
$3.6M
Drug Phosphorylation and AgingR01AG064908 · NIA · JOHNS HOPKINS UNIVERSITY · PI ORSBURN, BENJAMIN CARL · 2020 to 2023
$2.4M
NIA NIH HHS R01 AG064908NIGMS NIH HHS R01 GM103853
6 · The paper itself

Abstract

It is now well accepted that individual cells within a population will respond to treatment of the same drug in a heterogenous manner. Recent advances have allowed, for the first time, the quantitative analysis of the proteomes of single human cells by mass spectrometry. A major focus of many groups, including our own, has been to use this emerging technology to rapidly identify subpopulations of cells with unique drug response and adaptation methods. While the technology in single-cell proteomics today is progressing at a truly staggering rate, we will detail our current methods for applying highly multiplexed single-cell proteomics to drug treatment studies.

Indexed as

ProteomicsSingle-Cell AnalysisWorkflowHumansMass SpectrometryProteomeProteomeDrug treatment studiesPharmacologySingle-cell proteomics

Identifiers

PMID39052210

What OpenQuestion holds

Textmetadata
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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.