Evidence map›Paper›PMID 35532271›Full record

ArticleJournal of visualized experiments : JoVE2022

Cell-Lineage Guided Mass Spectrometry Proteomics in the Developing (Frog) Embryo.

Aparna B Baxi, Leena R Pade, Peter Nemes

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Aparna B BaxiDepartment of Chemistry & Biochemistry, University of Maryland; Department of Anatomy & Cell Biology, The George Washington University.
Leena R PadeDepartment of Chemistry & Biochemistry, University of Maryland.
Peter NemesDepartment of Chemistry & Biochemistry, University of Maryland; Department of Anatomy & Cell Biology, The George Washington University; nemes@umd.edu.

Funding

Sub-Cellular Mass Spectrometry Discoveries: Metabolic Encoding of the Embryonic Body PlanR35GM124755 · NIGMS · UNIV OF MARYLAND, COLLEGE PARK · PI Peter Nemes · 2017 to 2026
$3.8M
NIGMS NIH HHS R35 GM124755
6 · The paper itself

Abstract

Characterization of molecular events as cells give rise to tissues and organs raises a potential to better understand normal development and design efficient remedies for diseases. Technologies enabling accurate identification and quantification of diverse types and large numbers of proteins would provide still missing information on molecular mechanisms orchestrating tissue and organism development in space and time. Here, we present a mass spectrometry-based protocol that enables the measurement of thousands of proteins in identified cell lineages in Xenopus laevis (frog) embryos. The approach builds on reproducible cell-fate maps and established methods to identify, fluorescently label, track, and sample cells and their progeny (clones) from this model of vertebrate development. After collecting cellular contents using microsampling or isolating cells by dissection or fluorescence-activated cell sorting, proteins are extracted and processed for bottom-up proteomic analysis. Liquid chromatography and capillary electrophoresis are used to provide scalable separation for protein detection and quantification with high-resolution mass spectrometry (HRMS). Representative examples are provided for the proteomic characterization of neural-tissue fated cells. Cell-lineage-guided HRMS proteomics is adaptable to different tissues and organisms. It is sufficiently sensitive, specific, and quantitative to peer into the spatio-temporal dynamics of the proteome during vertebrate development.

Indexed as

ProteomicsSingle-Cell AnalysisAnimalsCell LineageMass SpectrometryProteomeXenopus laevisProteome

Identifiers

PMID35532271
PMCPMC9513837

What OpenQuestion holds

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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.