Evidence map›Paper›PMID 38948878›Full record

ArticlebioRxiv : the preprint server for biology2024

CRISPRware: an efficient method for contextual gRNA library design.

Eric Malekos, Christy Montano, Susan Carpenter

Abstract readPreprint
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.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Eric MalekosDepartment of Biomolecular Engineering, University of California Santa Cruz, California, USA.
Christy MontanoDepartment of Molecular, Cell, and Developmental Biology, University of California Santa Cruz, California, USA.
Susan CarpenterDepartment of Molecular, Cell, and Developmental Biology, University of California Santa Cruz, California, USA.ORCID 0000-0002-5600-5404

Funding

High throughput functional characterization of lncRNAs in macrophage biologyR35GM137801 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI CARPENTER, SUSAN · 2020 to 2024
$2.2M
Identification and characterization of small open reading frames translated during inflammationF31AI179201 · NIAID · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI MALEKOS, ERIC · 2023 to 2025
$134k
NIAID NIH HHS F31 AI179201NIGMS NIH HHS R35 GM137801
6 · The paper itself

Abstract

We present CRISPRware, an efficient method for generating guide RNA (gRNA) libraries against transcribed, translated, and noncoding regions. CRISPRware leverages next-generation sequencing data to design context-specific gRNAs and accounts for genetic variation, which allows allele-specific guide design on a genome-wide scale. The latter ability holds promise for the development of gene therapy in the context of gene dosing and dominant negative mutations.

Identifiers

PMID38948878
PMCPMC11213142

What OpenQuestion holds

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LicenceCC BY-NC
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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.