Evidence map›Paper›PMID 39487265›Full record

ArticleNature biotechnology2025

Development of compact transcriptional effectors using high-throughput measurements in diverse contexts.

Josh Tycko, Mike V Van, Aradhana, Nicole DelRosso, Hanrong Ye, David Yao, Raeline Valbuena, Alun Vaughan-Jackson, Xiaoshu Xu, Connor Ludwig and 16 more

Abstract read
In one paragraph

Article in Nature biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

45 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Clinical translation of epigenome editing technologies.Current opinion in biomedical engineering · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Cardiac epigenome in heart development and disease.Nature reviews. Cardiology · 2026
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

26 authors.

Josh Tycko *Department of Genetics, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-4108-0575
Mike V Van *Department of Biology, Stanford University, Stanford, CA, USA.
AradhanaDepartment of Genetics, Stanford University, Stanford, CA, USA.
Nicole DelRossoBiophysics Program, Stanford University, Stanford, CA, USA.
Hanrong YeDepartment of Biomedical Engineering and Biological Design Center, Boston University, Boston, MA, USA.
David YaoDepartment of Genetics, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-2232-524X
Raeline ValbuenaDepartment of Genetics, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-7877-4151
Alun Vaughan-JacksonDepartment of Genetics, Stanford University, Stanford, CA, USA.
Xiaoshu XuDepartment of Bioengineering, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-2989-4007
Connor LudwigDepartment of Bioengineering, Stanford University, Stanford, CA, USA.
Kaitlyn SpeesDepartment of Genetics, Stanford University, Stanford, CA, USA.
Katherine LiuDepartment of Biology, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-9616-9403
Mingxin GuDepartment of Genetics, Stanford University, Stanford, CA, USA.
Venya KhareDepartment of Biomedical Engineering and Biological Design Center, Boston University, Boston, MA, USA.
Adi Xiyal MukundBiophysics Program, Stanford University, Stanford, CA, USA.
Peter H SuzukiDepartment of Bioengineering, Stanford University, Stanford, CA, USA.
Sophia AranaDepartment of Genetics, Stanford University, Stanford, CA, USA.
Catherine ZhangDepartment of Cancer Biology, Stanford University, Stanford, CA, USA.
Peter P DuDepartment of Cancer Biology, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-2652-0541
Thea S OrnsteinDepartment of Biomedical Engineering and Biological Design Center, Boston University, Boston, MA, USA.
Gaelen T HessDepartment of Biomolecular Chemistry and Center for Human Genomics and Precision Medicine, University of Wisconsin-Madison, Madison, WI, USA.ORCID http://orcid.org/0000-0002-3836-0277
Roarke A KamberDepartment of Genetics, Stanford University, Stanford, CA, USA.
Lei S QiChan Zuckerberg Biohub-San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-3965-3223
Ahmad S KhalilDepartment of Biomedical Engineering and Biological Design Center, Boston University, Boston, MA, USA.ORCID http://orcid.org/0000-0002-8214-0546
Lacramioara BintuDepartment of Bioengineering, Stanford University, Stanford, CA, USA. lbintu@stanford.edu.ORCID http://orcid.org/0000-0001-5443-6633
Michael C BassikDepartment of Genetics, Stanford University, Stanford, CA, USA. bassik@stanford.edu.ORCID http://orcid.org/0000-0001-5185-8427

Funding

Supplement to Enhance Wellness and Resiliency in the Graduate EnvironmentT32GM007276 · NIGMS · STANFORD UNIVERSITY · PI MORRISON, ASHBY J. · 1985 to 2023
$32.9M
INSTITUTIONAL TRAINING GRANT IN GENOME SCIENCET32HG000044 · NHGRI · STANFORD UNIVERSITY · PI MICHAEL P. SNYDER · 1995 to 2026
$32.2M
High-throughput development and characterization of compact tools for transcriptional and chromatin perturbationsR01HG011866 · NHGRI · STANFORD UNIVERSITY · PI MICHAEL C BASSIK, Lacramioara Bintu · 2021 to 2026
$6.9M
High-throughput systematic characterization of regulatory element functionUM1HG009436 · NHGRI · STANFORD UNIVERSITY · PI BASSIK, MICHAEL C, GREENLEAF, WILLIAM JAMES · 2017 to 2021
$5.4M
Synthetic toolkit for precision gene expression control and signal processing in mammalian cellsR01EB029483 · NIBIB · HARVARD UNIVERSITY · PI Ahmad Samir Khalil · 2020 to 2026
$5.0M
High-throughput dissection of transcriptional regulation in kidney diseaseK00DK126120 · NIDDK · HARVARD MEDICAL SCHOOL · PI TYCKO, JOSH · 2022 to 2025
$355k
High-throughput dissection of transcriptional regulation in kidney diseaseF99DK126120 · NIDDK · STANFORD UNIVERSITY · PI TYCKO, JOSH · 2020 to 2021
$78k
NHGRI NIH HHS R01 HG011866NHGRI NIH HHS T32 HG000044NHGRI NIH HHS UM1 HG009436NIBIB NIH HHS R01 EB029483NIDDK NIH HHS F99 DK126120NIDDK NIH HHS K00 DK126120NIGMS NIH HHS T32 GM007276
6 · The paper itself

Abstract

Transcriptional effectors are protein domains known to activate or repress gene expression; however, a systematic understanding of which effector domains regulate transcription across genomic, cell type and DNA-binding domain (DBD) contexts is lacking. Here we develop dCas9-mediated high-throughput recruitment (HT-recruit), a pooled screening method for quantifying effector function at endogenous target genes and test effector function for a library containing 5,092 nuclear protein Pfam domains across varied contexts. We also map context dependencies of effectors drawn from unannotated protein regions using a larger library tiling chromatin regulators and transcription factors. We find that many effectors depend on target and DBD contexts, such as HLH domains that can act as either activators or repressors. To enable efficient perturbations, we select context-robust domains, including ZNF705 KRAB, that improve CRISPRi tools to silence promoters and enhancers. We engineer a compact human activator called NFZ, by combining NCOA3, FOXO3 and ZNF473 domains, which enables efficient CRISPRa with better viral delivery and inducible control of chimeric antigen receptor T cells.

Indexed as

High-Throughput Screening AssaysTranscription FactorsTranscription, GeneticCRISPR-Cas SystemsGene Expression RegulationHEK293 CellsHumansProtein DomainsTranscription Factors

Identifiers

PMID39487265
PMCPMC12043968

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.