Evidence map›Paper›PMID 38328062›Full record

ArticlebioRxiv : the preprint server for biology2024

High-resolution Inference of Multiplexed Anti-HIV Gene Editing using Single-Cell Targeted DNA Sequencing.

Mohamed S Bouzidi, Zain Y Dossani, Carolina Di Benedetto, Kyle A Raymond, Shivani Desai, Leonard R Chavez, Paola Betancur, Satish K Pillai

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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, 2 citations in OpenAlex.

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

8 authors at 3 institutions in 2 countries.

Mohamed S BouzidiVitalant Research Institute, San Francisco, CA, USA.
Zain Y DossaniVitalant Research Institute, San Francisco, CA, USA.
Carolina Di BenedettoDepartment of Radiation Oncology, University of California, San Francisco, CA, USA.
Kyle A RaymondVitalant Research Institute, San Francisco, CA, USA.
Shivani DesaiVitalant Research Institute, San Francisco, CA, USA.
Leonard R ChavezVitalant Research Institute, San Francisco, CA, USA.
Paola BetancurDepartment of Radiation Oncology, University of California, San Francisco, CA, USA.
Satish K PillaiVitalant Research Institute, San Francisco, CA, USA.ORCID 0000-0001-8770-7014
University of California, San Francisco · USPacific Research Institute · USCentre National de la Recherche Scientifique · FR

Funding

Virology CoreP30AI027763 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STEVEN Grant DEEKS · 1988 to 2026
$93.6M
NIAID NIH HHS P30 AI027763
6 · The paper itself

Abstract

Gene therapy-based HIV cure strategies typically aim to excise the HIV provirus directly, or target host dependency factors (HDFs) that support viral persistence. Cure approaches will likely require simultaneous co-targeting of multiple sites within the HIV genome to prevent evolution of resistance, and/or co-targeting of multiple HDFs to fully render host cells refractory to HIV infection. Bulk cell-based methods do not enable inference of co-editing within individual viral or target cell genomes, and do not discriminate between monoallelic and biallelic gene disruption. Here, we describe a targeted single-cell DNA sequencing (scDNA-seq) platform characterizing the near full-length HIV genome and 50 established HDF genes, designed to evaluate anti-HIV gene therapy strategies. We implemented the platform to investigate the capacity of multiplexed CRISPR-Cas9 ribonucleoprotein complexes (Cas9-RNPs) to simultaneously 1) inactivate the HIV provirus, and 2) knockout the

Indexed as

antiviral gene editingCRISPR/Cas9HIVmyeloid cellssingle-cell sequencing

Identifiers

PMID38328062
PMCPMC10849705
OpenAlexW4391169161

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.