Evidence map›Paper›PMID 28966990›Full record

ArticleCurrent opinion in systems biology2017

A CRISPR view of gene regulation.

Budhaditya Banerjee, Richard I Sherwood

Abstract read
In one paragraph

Article in Current opinion in systems biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Genetic variations in tumor-suppressor miRNA-encoding genes and their target genes: focus on breast cancer development and possible therapeutic strategies.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
    Review
  2. Review
  3. Review
  4. Review
  5. Using CRISPR to understand and manipulate gene regulation.Development (Cambridge, England) · 2021
    Review
  6. New insights on CRISPR/Cas9-based therapy for breast Cancer.Genes and environment : the official journal of the Japanese Environmental Mutagen Society · 2021
    Review
  7. Review
  8. 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

2 authors.

Budhaditya BanerjeeDivision of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115.
Richard I SherwoodDivision of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115.

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
High-throughput methods for elucidating the control of chromatin accessibilityR01HG008363 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GIFFORD, DAVID K · 2015 to 2017
$2.3M
Predictive transcription factor modeling to program endodermal cell fatesK01DK101684 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI SHERWOOD, RICHARD I · 2014 to 2018
$670k
NHGRI NIH HHS R01 HG008363NHGRI NIH HHS R01 HG008754NIDDK NIH HHS K01 DK101684
6 · The paper itself

Abstract

Due to plummeting costs, whole genome sequencing of patients and cancers will soon become routine medical practice; however, we cannot currently predict how non-coding genotype affects cellular gene expression. Gene regulation research has recently been dominated by observational approaches that correlate chromatin state with regulatory function. These approaches are limited to the available genotypes and cannot scratch the surface of possible sequence combinations, and thus there is a need for perturbation-based approaches to better understand how DNA encodes gene regulatory functions. CRISPR/Cas9 genome editing has revolutionized our ability to alter genome sequence, and CRISPR/Cas9-based assays have already begun to contribute to new paradigms of gene regulation. We discuss the variety of arenas in which current and future CRISPR-based technologies will aid in developing predictive understanding of how genome sequence leads to gene regulatory function.

Identifiers

PMID28966990
PMCPMC5619677

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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.