Evidence map›Paper›PMID 30340514›Full record

ArticleGenome biology2018

CRISPRO: identification of functional protein coding sequences based on genome editing dense mutagenesis.

Vivien A C Schoonenberg, Mitchel A Cole, Qiuming Yao, Claudio Macias-Treviño, Falak Sher, Patrick G Schupp, Matthew C Canver, Takahiro Maeda, Luca Pinello, Daniel E Bauer

Abstract read
In one paragraph

Article in Genome biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Article
  2. AI platform for CRISPR functional mapping and function-based drug design.bioRxiv : the preprint server for biology · 2026
    Article
  3. Dissecting polycomb complexes for enhanced fetal hemoglobin production.bioRxiv : the preprint server for biology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Nuclear Control of Mitochondrial Homeostasis and Venetoclax Efficacy in AML via COX4I1.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Epigenetic Control of Translation Checkpoint and Tumor Progression via RUVBL1-EEF1A1 Axis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  18. Review
  19. Article
  20. Computational Tools and Resources for CRISPR/Cas Genome Editing.Genomics, proteomics & bioinformatics · 2023
    Review
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

10 authors.

Vivien A C SchoonenbergDivision of Hematology/Oncology, Boston Children's Hospital, Dana-Farber Cancer Institute, Harvard Stem Cell Institute, Broad Institute, Harvard Medical School, Boston, MA, 02115, USA.
Mitchel A ColeDivision of Hematology/Oncology, Boston Children's Hospital, Dana-Farber Cancer Institute, Harvard Stem Cell Institute, Broad Institute, Harvard Medical School, Boston, MA, 02115, USA.
Qiuming YaoDivision of Hematology/Oncology, Boston Children's Hospital, Dana-Farber Cancer Institute, Harvard Stem Cell Institute, Broad Institute, Harvard Medical School, Boston, MA, 02115, USA.
Claudio Macias-TreviñoDivision of Hematology/Oncology, Boston Children's Hospital, Dana-Farber Cancer Institute, Harvard Stem Cell Institute, Broad Institute, Harvard Medical School, Boston, MA, 02115, USA.
Falak SherDivision of Hematology/Oncology, Boston Children's Hospital, Dana-Farber Cancer Institute, Harvard Stem Cell Institute, Broad Institute, Harvard Medical School, Boston, MA, 02115, USA.
Patrick G SchuppDivision of Hematology/Oncology, Boston Children's Hospital, Dana-Farber Cancer Institute, Harvard Stem Cell Institute, Broad Institute, Harvard Medical School, Boston, MA, 02115, USA.
Matthew C CanverDivision of Hematology/Oncology, Boston Children's Hospital, Dana-Farber Cancer Institute, Harvard Stem Cell Institute, Broad Institute, Harvard Medical School, Boston, MA, 02115, USA.
Takahiro MaedaCenter for Cellular and Molecular Medicine, Kyushu University Hospital, Fukuoka, 812-8582, Japan.
Luca PinelloMolecular Pathology Unit & Center for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA. lpinello@mgh.harvard.edu.
Daniel E BauerDivision of Hematology/Oncology, Boston Children's Hospital, Dana-Farber Cancer Institute, Harvard Stem Cell Institute, Broad Institute, Harvard Medical School, Boston, MA, 02115, USA. daniel.bauer@childrens.harvard.edu.

Funding

TRANSCRIPTION FACTOR GATA-1 IN TERMINAL ERYTHROID DEVELOPMENTP01HL032262 · NHLBI · CHILDREN'S HOSPITAL BOSTON · PI ZON, LEONARD IRA · 1985 to 2021
$38.9M
High-throughput discovery of essential noncoding sequences for erythropoiesisDP2HL137300 · NHLBI · BOSTON CHILDREN'S HOSPITAL · PI BAUER, DANIEL EVAN · 2016 to 2016
$2.7M
Targeting the NuRD complex for fetal globin inductionR01DK111455 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI BERLINER, NANCY, MAEDA, TAKAHIRO · 2016 to 2020
$2.0M
Discovering disease-causal variants by linking genetic and epigenetic variationR00HG008399 · NHGRI · MASSACHUSETTS GENERAL HOSPITAL · PI PINELLO, LUCA · 2017 to 2019
$747k
Epigenetic regulation of BCL11A in the hemoglobin switchK08DK093705 · NIDDK · BOSTON CHILDREN'S HOSPITAL · PI BAUER, DANIEL EVAN · 2012 to 2016
$679k
Identification of sequences and factors required for HbF repressionR03DK109232 · NIDDK · BOSTON CHILDREN'S HOSPITAL · PI BAUER, DANIEL EVAN · 2016 to 2017
$226k
Targeting the transcription machinery for fetal globin inductionR56DK105001 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI MAEDA, TAKAHIRO · 2015 to 2015
$142k
NHGRI NIH HHS R00 HG008399NHGRI NIH HHS R00HG008399NHLBI NIH HHS DP2 HL137300NHLBI NIH HHS DP2OD022716NHLBI NIH HHS P01 HL032262NHLBI NIH HHS P01HL032262NIDDK NIH HHS K08 DK093705NIDDK NIH HHS K08DK093705NIDDK NIH HHS R01 DK111455NIDDK NIH HHS R03 DK109232NIDDK NIH HHS R03DK109232
6 · The paper itself

Abstract

CRISPR/Cas9 pooled screening permits parallel evaluation of comprehensive guide RNA libraries to systematically perturb protein coding sequences in situ and correlate with functional readouts. For the analysis and visualization of the resulting datasets, we develop CRISPRO, a computational pipeline that maps functional scores associated with guide RNAs to genomes, transcripts, and protein coordinates and structures. No currently available tool has similar functionality. The ensuing genotype-phenotype linear and three-dimensional maps raise hypotheses about structure-function relationships at discrete protein regions. Machine learning based on CRISPRO features improves prediction of guide RNA efficacy. The CRISPRO tool is freely available at gitlab.com/bauerlab/crispro .

Indexed as

Gene EditingGenomeCell LineCRISPR-Cas SystemsHumansMolecular Sequence AnnotationMutagenesisOpen Reading FramesProtein Structure, SecondaryRNA, Guide, CRISPR-Cas SystemsRNA, MessengerRNA, Guide, CRISPR-Cas SystemsRNA, MessengerComprehensiveCRISPR screenDomainsMutagenesisProtein structureSaturatingSoftwareTilingVisualization

Identifiers

PMID30340514
PMCPMC6195731

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.