Evidence map›Paper›PMID 33913466›Full record

ReviewDevelopment (Cambridge, England)2021

Using CRISPR to understand and manipulate gene regulation.

Ersin Akinci, Marisa C Hamilton, Benyapa Khowpinitchai, Richard I Sherwood

Abstract readReview
In one paragraph

Review in Development (Cambridge, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
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  8. Review
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  11. Review
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  13. Network-based approaches for modeling disease regulation and progression.Computational and structural biotechnology journal · 2023
    Review
  14. Article
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

4 authors.

Ersin AkinciDivision of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
Marisa C HamiltonDivision of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
Benyapa KhowpinitchaiDivision of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
Richard I SherwoodDivision of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.

Funding

High-Throughput Native Context Mapping and Modeling of Regulatory DNAR01HG008754 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GIFFORD, DAVID K · 2016 to 2019
$2.7M
Urgent Supplement: Correcting genetic disorders using predictable CRISPR/Cas9-induced exon skippingR21HG010391 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI CASSA, CHRISTOPHER, SHERWOOD, RICHARD I · 2019 to 2020
$632k
Systematic unlocking of airway stem cell differentiation programR21OD025309 · OD · BRIGHAM AND WOMEN'S HOSPITAL · PI SHERWOOD, RICHARD I · 2019 to 2020
$462k
NHGRI NIH HHS R01 HG008754NHGRI NIH HHS R21 HG010391NIH HHS R21 OD025309
6 · The paper itself

Abstract

Understanding how genes are expressed in the correct cell types and at the correct level is a key goal of developmental biology research. Gene regulation has traditionally been approached largely through observational methods, whereas perturbational approaches have lacked precision. CRISPR-Cas9 has begun to transform the study of gene regulation, allowing for precise manipulation of genomic sequences, epigenetic functionalization and gene expression. CRISPR-Cas9 technology has already led to the discovery of new paradigms in gene regulation and, as new CRISPR-based tools and methods continue to be developed, promises to transform our knowledge of the gene regulatory code and our ability to manipulate cell fate. Here, we discuss the current and future application of the emerging CRISPR toolbox toward predicting gene regulatory network behavior, improving stem cell disease modeling, dissecting the epigenetic code, reprogramming cell fate and treating diseases of gene dysregulation.

Indexed as

CRISPR-Cas SystemsGene Expression RegulationAnimalsClustered Regularly Interspaced Short Palindromic RepeatsDNAEpigenomicsGene EditingGene Regulatory NetworksHumansMutationDNACRISPR-Cas9CRISPR screeningDisease modelingEpigeneticsGene regulation

Identifiers

PMID33913466
PMCPMC8126405

What OpenQuestion holds

Textmetadata
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.