Evidence map›Paper›PMID 30346938›Full record

ArticleNature biotechnology2018

Highly parallel single-molecule identification of proteins in zeptomole-scale mixtures.

Jagannath Swaminathan, Alexander A Boulgakov, Erik T Hernandez, Angela M Bardo, James L Bachman, Joseph Marotta, Amber M Johnson, Eric V Anslyn, Edward M Marcotte

Open access · bronzeAbstract read
In one paragraph

Article in Nature biotechnology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers.

0numbers the graph read from it
0cells of the map it votes in
104citing papers in PubMed
8.4field-weighted citation impact, top 2% 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

104 citing papers in PubMed, 223 citations in OpenAlex.

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  18. Towards improved biofilm models.Nature reviews. Microbiology · 2025
    Review
  19. Article
  20. Article

44 more citing papers are in PubMed but not listed here.

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

9 authors at 1 institution in 1 country.

Jagannath SwaminathanCenter for Systems and Synthetic Biology, Institute for Cellular and Molecular Biology, University of Texas at Austin, Austin, Texas, USA.
Alexander A BoulgakovCenter for Systems and Synthetic Biology, Institute for Cellular and Molecular Biology, University of Texas at Austin, Austin, Texas, USA.
Erik T HernandezDepartment of Chemistry, University of Texas at Austin, Austin, Texas, USA.
Angela M BardoCenter for Systems and Synthetic Biology, Institute for Cellular and Molecular Biology, University of Texas at Austin, Austin, Texas, USA.ORCID http://orcid.org/0000-0002-6637-4748
James L BachmanDepartment of Chemistry, University of Texas at Austin, Austin, Texas, USA.
Joseph MarottaCenter for Systems and Synthetic Biology, Institute for Cellular and Molecular Biology, University of Texas at Austin, Austin, Texas, USA.
Amber M JohnsonDepartment of Chemistry, University of Texas at Austin, Austin, Texas, USA.
Eric V AnslynDepartment of Chemistry, University of Texas at Austin, Austin, Texas, USA.
Edward M MarcotteCenter for Systems and Synthetic Biology, Institute for Cellular and Molecular Biology, University of Texas at Austin, Austin, Texas, USA.ORCID http://orcid.org/0000-0001-8808-180X
The University of Texas at Austin · US

Funding

Proteomics and model organism humanization to decode human geneticsR35GM122480 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI EDWARD M MARCOTTE · 2017 to 2026
$5.4M
Next-Generation Proteomics: Massively Parallel Single-Molecule Protein IdentificaDP1GM106408 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI MARCOTTE, EDWARD M · 2012 to 2016
$3.8M
Proteomics of widespread, reversible protein assemblies in aging and aggregationR01GM076536 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI MARCOTTE, EDWARD M · 2006 to 2014
$2.9M
NIGMS NIH HHS DP1 GM106408NIGMS NIH HHS R01 GM076536NIGMS NIH HHS R35 GM122480
6 · The paper itself

Abstract

The identification and quantification of proteins lags behind DNA-sequencing methods in scale, sensitivity, and dynamic range. Here, we show that sparse amino acid-sequence information can be obtained for individual protein molecules for thousands to millions of molecules in parallel. We demonstrate selective fluorescence labeling of cysteine and lysine residues in peptide samples, immobilization of labeled peptides on a glass surface, and imaging by total internal reflection microscopy to monitor decreases in each molecule's fluorescence after consecutive rounds of Edman degradation. The obtained sparse fluorescent sequence of each molecule was then assigned to its parent protein in a reference database. We tested the method on synthetic and naturally derived peptide molecules in zeptomole-scale quantities. We also fluorescently labeled phosphoserines and achieved single-molecule positional readout of the phosphorylated sites. We measured >93% efficiencies for dye labeling, survival, and cleavage; further improvements should enable studies of increasingly complex proteomic mixtures, with the high sensitivity and digital quantification offered by single-molecule sequencing.

Identifiers

PMID30346938
PMCPMC6482110
OpenAlexW2896321622

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Registered trials

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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.