Evidence map›Paper›PMID 41509456›Full record

ArticlebioRxiv : the preprint server for biology2026

EZ-DMS - A Simple and Accessible Protocol and Software Package for Deep Mutational Scanning of Virus Proteins.

Aaron N Gillman, Madeline M Broghammer, Samuel A McCarthy-Potter, Rohith Rao Vujjini, Cassian M Birler, Alexander B Kleinpeter, Hillel Haim

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Aaron N GillmanDepartment of Microbiology and Immunology, The University of Iowa, Iowa City, IA.
Madeline M BroghammerDepartment of Microbiology and Immunology, The University of Iowa, Iowa City, IA.
Samuel A McCarthy-PotterDepartment of Microbiology and Immunology, The University of Iowa, Iowa City, IA.
Rohith Rao VujjiniDepartment of Microbiology and Immunology, The University of Iowa, Iowa City, IA.
Cassian M BirlerDepartment of Microbiology and Immunology, The University of Iowa, Iowa City, IA.
Alexander B KleinpeterDepartment of Microbiology and Immunology, The University of Iowa, Iowa City, IA.
Hillel HaimDepartment of Microbiology and Immunology, The University of Iowa, Iowa City, IA.ORCID 0000-0002-6071-5089

Funding

Predicting HIV-1 escape from therapeutics in vitro and in vivo - toward personalizing medicine for people living with HIVR01AI170205 · NIAID · UNIVERSITY OF IOWA · PI Hillel Haim · 2023 to 2026
$2.3M
NIAID NIH HHS R01 AI170205
6 · The paper itself

Abstract

Mutations that occur during viral genome replication can result in new phenotypes, such as infection of new cell types or resistance to therapeutics. To determine the phenotypic potential of viruses, deep mutational scanning (DMS) can be used. This approach measures the effects of all amino acid changes at sites of interest on protein function, virus infectivity, or resistance to therapeutics. A virus library that contains all possible variants is produced and used to infect a culture of cells. The frequency of each amino acid at the DMS site in the infected culture relative to the input stock captures the relative fitness for each form under the selective pressure applied. Current DMS protocols are complex and costly due to reliance on deep sequencing for genomic characterization. They also require expertise in bioinformatics to process and analyze the data, thus limiting the number of labs that can apply the technology. Here, we describe a simple and efficient protocol to perform DMS on single sites and on two-site combinations in the Env protein of HIV-1. Dual-site DMS allows probing for epistatic effects. The protocol greatly reduces recombination of the proviral genome in transformed bacteria, thus efficiency of the method. Sequencing is performed using Oxford Nanopore technology, and the data are uploaded to a graphical user interface-based platform that calculates the amino acid preferences, which describe the relative fitness of all amino acids under the experimental conditions tested (e.g., under selection pressure of a drug). The protocol does not require expertise in bioinformatics and can be completed in approximately 16 days, with 3-4 days of laboratory activity and 12-13 days of incubation, with considerably lower costs than existing systems.

Indexed as

Antiviral TherapeuticsDeep Mutational ScanningEnvelope GlycoproteinsFitness ProfilingHIV-1Saturation MutagenesisTemsavirVirus mutational landscape

Identifiers

PMID41509456
PMCPMC12776545

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.