Evidence map›Paper›PMID 34527891›Full record

ReviewiScience2021

Herding cats: Label-based approaches in protein translocation through nanopore sensors for single-molecule protein sequence analysis.

Keisuke Motone, Nicolas Cardozo, Jeff Nivala

Open access · goldAbstract readReview
In one paragraph

Review in iScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Review
  3. Graphite-Based Bio-Mimetic Nanopores for Protein Sequencing and Beyond.Small (Weinheim an der Bergstrasse, Germany) · 2025
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Cell-Free Expression ofACS nano · 2023
    Article
  10. 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 at 1 institution in 1 country.

Keisuke MotonePaul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA.
Nicolas CardozoPaul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA.
Jeff NivalaPaul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA.
University of Washington · US

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Marian Esvelt · 1985 to 2026
$296.4M
NCI NIH HHS P30 CA015704
6 · The paper itself

Abstract

Proteins carry out life's essential functions. Comprehensive proteome analysis technologies are thus required for a full understanding of the operating principles of biological systems. While current proteomics techniques suffer from limitations in sensitivity and/or throughput, nanopore technology has the potential to enable de novo protein identification through single-molecule sequencing. However, a significant barrier to achieving this goal is controlling protein/peptide translocation through the nanopore sensor for processive strand analysis. Here, we review recent approaches that use a range of techniques, from oligonucleotide conjugation to molecular motors, aimed at driving protein strands and peptides through protein nanopores. We further discuss site-specific protein conjugation chemistry that could be combined with these translocation approaches as future directions to achieve single-molecule protein detection and sequencing of native proteins.

Indexed as

BiochemistryBioorganic chemistryProteomics

Identifiers

PMID34527891
PMCPMC8433247
OpenAlexW3194240071

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.