Evidence map›Paper›PMID 31676211›Full record

ReviewTrends in biochemical sciences2020

Strategies for Development of a Next-Generation Protein Sequencing Platform.

Nicholas Callahan, Jennifer Tullman, Zvi Kelman, John Marino

Abstract readReview
In one paragraph

Review in Trends in biochemical sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Principles ofbioRxiv : the preprint server for biology · 2026
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Origins, Technological Advancement, and Applications of Peptidomics.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Paleoproteomics.Chemical reviews · 2022
    Review
  17. Article
  18. Protein Sequencing, One Molecule at a Time.Annual review of biophysics · 2022
    Review
  19. Review
  20. Making the cut with protease engineering.Cell chemical biology · 2022
    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

4 authors.

Nicholas CallahanInstitute for Bioscience and Biotechnology Research, National Institute of Standards and Technology, and University of Maryland, Rockville, MD 20850, USA. Electronic address: callahann@ibbr.umd.edu.
Jennifer TullmanInstitute for Bioscience and Biotechnology Research, National Institute of Standards and Technology, and University of Maryland, Rockville, MD 20850, USA.
Zvi KelmanInstitute for Bioscience and Biotechnology Research, National Institute of Standards and Technology, and University of Maryland, Rockville, MD 20850, USA; Biomolecular Labeling Laboratory, Institute for Bioscience and Biotechnology Research, Rockville, MD 20850, USA.
John MarinoInstitute for Bioscience and Biotechnology Research, National Institute of Standards and Technology, and University of Maryland, Rockville, MD 20850, USA.

Funding

Intramural NIST DOC 9999-NIST
6 · The paper itself

Abstract

Proteomic analysis can be a critical bottleneck in cellular characterization. The current paradigm relies primarily on mass spectrometry of peptides and affinity reagents (i.e., antibodies), both of which require a priori knowledge of the sample. An unbiased protein sequencing method, with a dynamic range that covers the full range of protein concentrations in proteomes, would revolutionize the field of proteomics, allowing a more facile characterization of novel gene products and subcellular complexes. To this end, several new platforms based on single-molecule protein-sequencing approaches have been proposed. This review summarizes four of these approaches, highlighting advantages, limitations, and challenges for each method towards advancing as a core technology for next-generation protein sequencing.

Indexed as

ProteomicsHumansMass SpectrometryProteinsSequence Analysis, ProteinProteinspeptide sequencingproteomicssingle-molecule analysis

Identifiers

PMID31676211
PMCPMC7373172

What OpenQuestion holds

Textmetadata
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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.