Evidence map›Paper›PMID 37156622›Full record

ArticleGenome research2023

Multiplexed long-read plasmid validation and analysis using OnRamp.

Camille Mumm, Melissa L Drexel, Torrin L McDonald, Adam G Diehl, Jessica A Switzenberg, Alan P Boyle

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed, 14 citations in OpenAlex.

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  12. ArrayedbioRxiv : the preprint server for biology · 2023
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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

6 authors at 1 institution in 1 country.

Camille Mumm *Department of Human Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA.ORCID 0000-0002-7585-9851
Melissa L Drexel *Department of Human Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA.ORCID 0000-0003-3551-2877
Torrin L McDonaldDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan 48109, USA.ORCID 0000-0001-5670-9375
Adam G DiehlDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan 48109, USA.ORCID 0000-0002-0915-4570
Jessica A SwitzenbergDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan 48109, USA.ORCID 0000-0003-4569-3720
Alan P BoyleDepartment of Human Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA; apboyle@umich.edu.ORCID 0000-0002-2081-1105
University of Michigan · US

Funding

University of Michigan Training Program in Genomic ScienceT32HG000040 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sebastian Zoellner · 1995 to 2026
$16.4M
PREDOCTORAL TRAINING IN GENETICST32GM007544 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MORAN, JOHN V. · 1985 to 2022
$11.3M
NHGRI NIH HHS T32 HG000040NIGMS NIH HHS T32 GM007544
6 · The paper itself

Abstract

Recombinant plasmid vectors are versatile tools that have facilitated discoveries in molecular biology, genetics, proteomics, and many other fields. As the enzymatic and bacterial processes used to create recombinant DNA can introduce errors, sequence validation is an essential step in plasmid assembly. Sanger sequencing is the current standard for plasmid validation; however, this method is limited by an inability to sequence through complex secondary structure and lacks scalability when applied to full-plasmid sequencing of multiple plasmids owing to read-length limits. Although high-throughput sequencing does provide full-plasmid sequencing at scale, it is impractical and costly when used outside of library-scale validation. Here, we present Oxford nanopore-based rapid analysis of multiplexed plasmids (OnRamp), an alternative method for routine plasmid validation that combines the advantages of high-throughput sequencing's full-plasmid coverage and scalability with Sanger's affordability and accessibility by leveraging nanopore's long-read sequencing technology. We include customized wet-laboratory protocols for plasmid preparation along with a pipeline designed for analysis of read data obtained using these protocols. This analysis pipeline is deployed on the OnRamp web app, which generates alignments between actual and predicted plasmid sequences, quality scores, and read-level views. OnRamp is designed to be broadly accessible regardless of programming experience to facilitate more widespread adoption of long-read sequencing for routine plasmid validation. Here we describe the OnRamp protocols and pipeline and show our ability to obtain full sequences from pooled plasmids while detecting sequence variation even in regions of high secondary structure at less than half the cost of equivalent Sanger sequencing.

Indexed as

Genome, BacterialHigh-Throughput Nucleotide SequencingPlasmidsProteomicsSequence Analysis, DNA

Identifiers

PMID37156622
PMCPMC10317119
OpenAlexW4375852831

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.