Evidence map›Paper›PMID 28835906›Full record

ArticleBio-protocol2017

Dense sgRNA Library Construction Using a Molecular Chipper Approach.

Jijun Cheng, Wen Pan, Jun Lu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bio-protocol, 2017. 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

3 authors.

Jijun ChengDepartment of Genetics, Yale University School of Medicine, New Haven, Connecticut, USA.
Wen PanDepartment of Genetics, Yale University School of Medicine, New Haven, Connecticut, USA.
Jun LuDepartment of Genetics, Yale University School of Medicine, New Haven, Connecticut, USA.

Funding

Novel Approaches to Mammalian MicroRNA Target PredictionR01GM099811 · NIGMS · WADSWORTH CENTER · PI DING, YE, LU, JUN · 2012 to 2015
$2.4M
Quantitative Modeling of MicroRNA:Target Interactions in Cell Fate TransitionR01GM116855 · NIGMS · WADSWORTH CENTER · PI DING, YE, LU, JUN · 2016 to 2019
$2.2M
The role of microRNAs in leukemic initiation and maintenanceR01CA149109 · NCI · YALE UNIVERSITY · PI LU, JUN · 2011 to 2015
$1.7M
NCI NIH HHS R01 CA149109NIGMS NIH HHS R01 GM099811NIGMS NIH HHS R01 GM116855
6 · The paper itself

Abstract

Genetic screens using single-guide-RNA (sgRNA) libraries and CRISPR technology have been powerful to identify genetic regulators for both coding and noncoding regions of the genome. Interrogating functional elements in noncoding regions requires sgRNA libraries that are densely covering, and ideally inexpensive, easy to implement and flexible for customization. We present a Molecular Chipper protocol for generating dense sgRNA libraries from genomic regions of interest. This approach utilizes a combination of random fragmentation and a Type III restriction enzyme to derive a dense coverage of sgRNA library from input DNA.

Indexed as

CRISPR-Cas9Molecular chipperNon-coding genomeReporter screensgRNA library

Identifiers

PMID28835906
PMCPMC5564686

What OpenQuestion holds

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Registered trials

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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.