Evidence map›Paper›PMID 38820192›Full record

ArticleACS synthetic biology2024

HUHgle: An Interactive Substrate Design Tool for Covalent Protein-ssDNA Labeling Using HUH-Tags.

Adam T Smiley, Natalia S Babilonia-Díaz, Aspen J Hughes, Andrew C D Lemmex, Michael J M Anderson, Kassidy J Tompkins, Wendy R Gordon

Abstract readLetter
In one paragraph

Article in ACS synthetic biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Adam T SmileyDepartment of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Minneapolis, Minnesota 55455, United States.ORCID 0000-0002-3891-8242
Natalia S Babilonia-DíazDepartment of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Minneapolis, Minnesota 55455, United States.
Aspen J HughesDepartment of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Minneapolis, Minnesota 55455, United States.
Andrew C D LemmexDepartment of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Minneapolis, Minnesota 55455, United States.
Michael J M AndersonDepartment of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Minneapolis, Minnesota 55455, United States.ORCID 0000-0001-5116-1427
Kassidy J TompkinsDepartment of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Minneapolis, Minnesota 55455, United States.
Wendy R GordonDepartment of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Minneapolis, Minnesota 55455, United States.ORCID 0000-0001-7696-5560

Funding

TRAINING PROGRAM IN MUSCLE RESEARCHT32AR007612 · NIAMS · UNIVERSITY OF MINNESOTA TWIN CITIES · PI JAMES M ERVASTI, DAWN A LOWE · 2001 to 2026
$11.3M
Mechanism and modulation of Amyloid Precursor Protein proteolysisR35GM119483 · NIGMS · UNIVERSITY OF MINNESOTA · PI WENDY RYAN GORDON · 2016 to 2026
$4.6M
Training the Next Generation of Chemical BiologistsT32GM132029 · NIGMS · UNIVERSITY OF MINNESOTA · PI Erin Elizabeth Carlson, William Charles Krause Pomerantz · 2019 to 2026
$2.7M
NIAMS NIH HHS T32 AR007612NIGMS NIH HHS R35 GM119483NIGMS NIH HHS T32 GM132029
6 · The paper itself

Abstract

HUH-tags have emerged as versatile fusion partners that mediate sequence specific protein-ssDNA bioconjugation through a simple and efficient reaction. Here we present HUHgle, a python-based interactive tool for the visualization, design, and optimization of substrates for HUH-tag mediated covalent labeling of proteins of interest with ssDNA substrates of interest. HUHgle streamlines design processes by integrating an intuitive plotting interface with a search function capable of predicting and displaying protein-ssDNA bioconjugate formation efficiency and specificity in proposed HUH-tag/ssDNA sequence combinations. Validation demonstrates that HUHgle accurately predicts product formation of HUH-tag mediated bioconjugation for single- and orthogonal-labeling reactions. In order to maximize the accessibility and utility of HUHgle, we have implemented it as a user-friendly Google Colab notebook which facilitates broad use of this tool, regardless of coding expertise.

Indexed as

DNA, Single-StrandedSoftwareProteinsDNA, Single-StrandedProteinsBioconjugationDNA-barcodingHUH-endonucleaseHUH-tag

Identifiers

PMID38820192
PMCPMC12710735

What OpenQuestion holds

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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.