ArticleProceedings of the National Academy of Sciences of the United States of America2024
Blobs form during the single-file transport of proteins across nanopores.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed.
- Single-Molecule Fingerprinting of Unlabeled Full-Length Proteins Using an Aerolysin Nanopore.Journal of the American Chemical Society · 2026Article
- Coil-Globule versus Field-Driven Coil-Blob Transitions of PEG under Nanopore Confinement.ACS measurement science au · 2026Article
- High-Rate Fingerprinting of Protein Isoforms by Quasi-regulated Enzyme-free Transport Through CytK Nanopores.Research square · 2026Article
- Scaling laws in confined media applied for biomarker detection.Nature communications · 2026Article
- Nanopore-based massively parallel sensing for peptide profiling and protein identification.Nature communications · 2026Article
- The major toxins of Bacillus cereus - Current knowledge on distribution, regulation and mechanism of action.EXCLI journal · 2026Review
- The Potential of Nanopore Technologies in Peptide and Protein Sensing for Biomarker Detection.Biosensors · 2025Review
- Eliminating the Interference of Neighboring Nucleobases in Aerolysin for Nanopore Sequencing.ACS sensors · 2025Article
- Controlled Translocation of Proteins through a Biological Nanopore for Single-Protein Fingerprint Identification.Nano letters · 2024Article
- Resolving Sulfation Posttranslational Modifications on a Peptide Hormone using Nanopores.ACS nano · 2024Article
- Blobs form during the single-file transport of proteins across nanopores.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
Corrections and comments
- Erratum issued
Authors and funding
6 authors.
Funding
Abstract
The transport of biopolymers across nanopores is an important biological process currently under investigation for the rapid analysis of DNA and proteins. While the transport of DNA is generally understood, methods to induce unfolded protein translocation have only recently been discovered (Yu et al., 2023, Sauciuc et al., 2023). Here, we found that during electroosmotically driven translocation of polypeptides, blob-like structures typically form inside nanopores, often obstructing their transport and preventing addressing individual amino acids. This is in contrast with the electrophoretic transport of DNA, where the formation of such structures has not been reported. Comparisons between different nanopore sizes and shapes and modifications by different surface chemistries allowed formulating a mechanism for blob formation. We also show that single-file transport can be achieved by using 1) nanopores that have an entry and an internal diameter smaller than the persistence length of the polymer, 2) nanopores with a nonsticky (i.e
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.