Evidence map›Paper›PMID 40246671›Full record

ReviewSeminars in nephrology2024

Multimodal Mass Spectrometry Imaging in Atlas Building: A Review.

Kyle A Vanderschoot, Kayle J Bender, Christopher M De Caro, Kelli A Steineman, Elizabeth K Neumann

Abstract readReview
In one paragraph

Review in Seminars in nephrology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

5 authors.

Kyle A VanderschootChemistry Department, University of California at Davis, Davis, CA.
Kayle J BenderChemistry Department, University of California at Davis, Davis, CA.
Christopher M De CaroChemistry Department, University of California at Davis, Davis, CA.
Kelli A SteinemanChemistry Department, University of California at Davis, Davis, CA.
Elizabeth K NeumannChemistry Department, University of California at Davis, Davis, CA. Electronic address: ekneumann@ucdavis.edu.

Funding

Architecture of Alzheimer's DiseaseR21AG083965 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI NEUMANN, ELIZABETH KATHLEEN · 2024 to 2024
$468k
NIA NIH HHS R21 AG083965
6 · The paper itself

Abstract

In the era of precision medicine, scientists are creating atlases of the human body to map cells at the molecular level, providing insight into what fundamentally makes each cell different. In these atlas efforts, multimodal imaging techniques that include mass spectrometry imaging (MSI) have revolutionized the way biomolecules, such as lipids, peptides, proteins, and small metabolites, are visualized in the native spatial context of biological tissue. As such, MSI has become a fundamental arm of major cell atlasing efforts, as it can analyze the spatial distribution of hundreds of molecules in diverse sample types. These rich molecular data are then correlated with orthogonal assays, including histologic staining, proteomics, and transcriptomics, to analyze molecular classes that are not traditionally detected by MSI. Additional computational methods enable further examination of the correlations between biomolecular classes and creation of visualizations that serve as a powerful resource for researchers and clinicians trying to understand human health and disease. In this review, we examine modern multimodal imaging methods and how they contribute to precision medicine and the understanding of fundamental disease mechanisms.

Indexed as

Atlases as TopicMass SpectrometryMultimodal ImagingHumansPrecision MedicineProteomicsmass spectrometryMultimodal imagingmultiomicssingle-cell analysistissue imaging

Identifiers

PMID40246671
PMCPMC12169974

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.