Evidence map›Paper›PMID 32212654›Full record

ArticleJournal of the American Society for Mass Spectrometry2020

CIRFESS: An Interactive Resource for Querying the Set of Theoretically Detectable Peptides for Cell Surface and Extracellular Enrichment Proteomic Studies.

Matthew Waas, Jack Littrell, Rebekah L Gundry

Abstract read
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
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.

Matthew WaasCardiOmics Program, Center for Heart and Vascular Research, Division of Cardiovascular Medicine, and Department of Cellular and Integrative Physiology, University of Nebraska Medical Center, Omaha, Nebraska 68198, United States.
Jack LittrellCardiOmics Program, Center for Heart and Vascular Research, Division of Cardiovascular Medicine, and Department of Cellular and Integrative Physiology, University of Nebraska Medical Center, Omaha, Nebraska 68198, United States.
Rebekah L GundryCardiOmics Program, Center for Heart and Vascular Research, Division of Cardiovascular Medicine, and Department of Cellular and Integrative Physiology, University of Nebraska Medical Center, Omaha, Nebraska 68198, United States.ORCID http://orcid.org/0000-0002-9263-833X

Funding

The role of stress in the fetal origin of obesity and metabolic dysfunctionP20GM104320 · NIGMS · UNIVERSITY OF NEBRASKA LINCOLN · PI ZEMPLENI, JANOS · 2014 to 2024
$24.9M
Cell Surface Phenotyping Human Primary CellsR01HL134010 · NHLBI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI GUNDRY, REBEKAH L. · 2016 to 2020
$1.9M
Cell Surface Proteins in Human CardiomyocytesR01HL126785 · NHLBI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI GUNDRY, REBEKAH L. · 2016 to 2019
$1.5M
Investigating the Utility and Function of a Novel Cardiomyocyte Cell Surface ProteinF31HL140914 · NHLBI · MEDICAL COLLEGE OF WISCONSIN · PI WAAS, MATTHEW R. · 2018 to 2019
$70k
NHLBI NIH HHS F31 HL140914NHLBI NIH HHS R01 HL126785NHLBI NIH HHS R01 HL134010NIGMS NIH HHS P20 GM104320
6 · The paper itself

Abstract

Cell surface transmembrane, extracellular, and secreted proteins are high value targets for immunophenotyping, drug development, and studies related to intercellular communication in health and disease. As the number of specific and validated affinity reagents that target this subproteome are limited, mass spectrometry (MS)-based approaches will continue to play a critical role in enabling discovery and quantitation of these molecules. Given the technical considerations that make MS-based cell surface proteome studies uniquely challenging, it can be difficult to select an appropriate experimental approach. To this end, we have integrated multiple prediction strategies and annotations into a single online resource,

Indexed as

SoftwareCell MembraneDatabases, ProteinExtracellular SpaceHumansMembrane ProteinsProteomeProteomicsMembrane ProteinsProteome

Identifiers

PMID32212654
PMCPMC8116119

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.