Evidence map›Paper›PMID 38569541›Full record

ArticleCell reports methods2024

Droplet-based proteomics reveals CD36 as a marker for progenitors in mammary basal epithelium.

Matthew Waas, Amanda Khoo, Pirashaanthy Tharmapalan, Curtis W McCloskey, Meinusha Govindarajan, Bowen Zhang, Shahbaz Khan, Paul D Waterhouse, Rama Khokha, Thomas Kislinger

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cell reports methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. 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

10 authors at 1 institution in 1 country.

Matthew WaasPrincess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C1, Canada.
Amanda KhooPrincess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C1, Canada; Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada.
Pirashaanthy TharmapalanPrincess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C1, Canada; Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada.
Curtis W McCloskeyPrincess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C1, Canada.
Meinusha GovindarajanPrincess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C1, Canada; Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada.
Bowen ZhangPrincess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C1, Canada; Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada.
Shahbaz KhanPrincess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C1, Canada.
Paul D WaterhousePrincess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C1, Canada.
Rama KhokhaPrincess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C1, Canada; Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada. Electronic address: rama.khokha@uhnresearch.ca.
Thomas KislingerPrincess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C1, Canada; Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada. Electronic address: thomas.kislinger@utoronto.ca.
University Health Network · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deep proteomic profiling of rare cell populations has been constrained by sample input requirements. Here, we present DROPPS (droplet-based one-pot preparation for proteomic samples), an accessible low-input platform that generates high-fidelity proteomic profiles of 100-2,500 cells. By applying DROPPS within the mammary epithelium, we elucidated the connection between mitochondrial activity and clonogenicity, identifying CD36 as a marker of progenitor capacity in the basal cell compartment. We anticipate that DROPPS will accelerate biology-driven proteomic research for a multitude of rare cell populations.

Indexed as

BiomarkersCD36 AntigensMammary Glands, AnimalProteomicsStem CellsAnimalsEpitheliumFemaleHumansMiceMitochondriaBiomarkersCD36 AntigensCD36CP: BiotechnologyCP: Developmental biologylow-inputmammary epitheliummetabolismprogenitorproteomics

Identifiers

PMID38569541
PMCPMC11045875
OpenAlexW4393411029

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.