Evidence map›Paper›PMID 37490313›Full record

ReviewACS nano2023

Engineering Biological Nanopore Approaches toward Protein Sequencing.

Xiaojun Wei, Tadas Penkauskas, Joseph E Reiner, Celeste Kennard, Mark J Uline, Qian Wang, Sheng Li, Aleksei Aksimentiev, Joseph W F Robertson, Chang Liu

Abstract readReview
In one paragraph

Review in ACS nano, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Biosensing With Nanofluidics.Exploration (Beijing, China) · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Osmotically Tunable Microdroplets Enable Amplification-Free CRISPR Detection of Gene Doping.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  12. Review
  13. Review
  14. Review
  15. Review
  16. Regulation of Protein Transport in Functionalized PET Nanopores.The journal of physical chemistry. B · 2025
    Article
  17. Article
  18. Article
  19. Article
  20. 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

10 authors.

Xiaojun WeiBiomedical Engineering Program, University of South Carolina, Columbia, South Carolina 29208, United States.ORCID 0000-0002-6229-6228
Tadas PenkauskasBiophysical and Biomedical Measurement Group, Microsystems and Nanotechnology Division, National Institute of Standards and Technology, Gaithersburg, Maryland 20899, United States.ORCID 0000-0002-4891-9601
Joseph E ReinerDepartment of Physics, Virginia Commonwealth University, Richmond, Virginia 23284, United States.ORCID 0000-0002-1056-8703
Celeste KennardBiomedical Engineering Program, University of South Carolina, Columbia, South Carolina 29208, United States.ORCID 0009-0006-6233-4841
Mark J UlineBiomedical Engineering Program, University of South Carolina, Columbia, South Carolina 29208, United States.ORCID 0000-0002-3533-871X
Qian WangDepartment of Chemistry and Biochemistry, University of South Carolina, Columbia, South Carolina 29208, United States.ORCID 0000-0002-2149-384X
Sheng LiSchool of Data Science, University of Virginia, Charlottesville, Virginia 22903, United States.ORCID 0000-0003-1205-8632
Aleksei AksimentievDepartment of Physics and Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States.ORCID 0000-0002-6042-8442
Joseph W F RobertsonBiophysical and Biomedical Measurement Group, Microsystems and Nanotechnology Division, National Institute of Standards and Technology, Gaithersburg, Maryland 20899, United States.
Chang LiuBiomedical Engineering Program, University of South Carolina, Columbia, South Carolina 29208, United States.ORCID 0000-0001-8097-9631

Funding

Asymmetric Single-Chain MspA nanopores for electroosmotic stretching and sequencing proteinsR01HG012553 · NHGRI · NORTHEASTERN UNIVERSITY · PI AKSIMENTIEV, ALEKSEI, CHEN, MIN · 2023 to 2023
$2.0M
Nanopore-Based HIV Self-Test for Ultrasensitive p24 Quantification in FingerPrick BloodR61AI174295 · NIAID · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI LIU, CHANG · 2023 to 2025
$1.2M
Improving biological nanopores for precision nucleic acid sequencing using a computational microscopeR21HG011741 · NHGRI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI AKSIMENTIEV, ALEKSEI, CHEN, MIN · 2021 to 2023
$625k
A Solid-State Nanopore Biosensor for Rapid Detection of Mycobacterium tuberculosis Antigens in Pediatric Blood SamplesK22AI136686 · NIAID · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI LIU, CHANG · 2019 to 2020
$265k
NHGRI NIH HHS R21 HG011741NIAID NIH HHS K22 AI136686NIAID NIH HHS R61 AI174295
6 · The paper itself

Abstract

Biotechnological innovations have vastly improved the capacity to perform large-scale protein studies, while the methods we have for identifying and quantifying individual proteins are still inadequate to perform protein sequencing at the single-molecule level. Nanopore-inspired systems devoted to understanding how single molecules behave have been extensively developed for applications in genome sequencing. These nanopore systems are emerging as prominent tools for protein identification, detection, and analysis, suggesting realistic prospects for novel protein sequencing. This review summarizes recent advances in biological nanopore sensors toward protein sequencing, from the identification of individual amino acids to the controlled translocation of peptides and proteins, with attention focused on device and algorithm development and the delineation of molecular mechanisms with the aid of simulations. Specifically, the review aims to offer recommendations for the advancement of nanopore-based protein sequencing from an engineering perspective, highlighting the need for collaborative efforts across multiple disciplines. These efforts should include chemical conjugation, protein engineering, molecular simulation, machine-learning-assisted identification, and electronic device fabrication to enable practical implementation in real-world scenarios.

Indexed as

NanoporesPeptidesAmino AcidsAmino Acid SequenceBase SequenceProteinsAmino AcidsPeptidesProteinsamino acidengineeringinstrumentationmachine learningmolecular simulationnanoporepeptideprotein sequencing

Identifiers

PMID37490313
PMCPMC10676712

What Socratic 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 Socratic graph.