Evidence map›Paper›PMID 38600112›Full record

ArticleNature communications2024

DNA binding analysis of rare variants in homeodomains reveals homeodomain specificity-determining residues.

Kian Hong Kock, Patrick K Kimes, Stephen S Gisselbrecht, Sachi Inukai, Sabrina K Phanor, James T Anderson, Gayatri Ramakrishnan, Colin H Lipper, Dongyuan Song, Jesse V Kurland and 5 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
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  3. Cellular Functional Analyses ofHuman mutation · 2026
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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

15 authors.

Kian Hong Kock *Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, USA.
Patrick K Kimes *Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA.
Stephen S Gisselbrecht *Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, USA.ORCID http://orcid.org/0000-0001-8723-902X
Sachi InukaiDivision of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, USA.
Sabrina K PhanorDivision of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, USA.
James T AndersonDivision of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, USA.
Gayatri RamakrishnanDivision of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, USA.ORCID http://orcid.org/0000-0001-8203-2783
Colin H LipperDepartment of Biological Chemistry and Molecular Pharmacology, Blavatnik Institute, Harvard Medical School, Boston, MA, USA.
Dongyuan SongDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID http://orcid.org/0000-0003-1114-1215
Jesse V KurlandDivision of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, USA.
Julia M RogersDivision of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, USA.
Raehoon JeongDivision of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, USA.ORCID http://orcid.org/0000-0001-9840-4692
Stephen C BlacklowProgram in Biological and Biomedical Sciences, Harvard University, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-6904-1981
Rafael A IrizarryDepartment of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA.
Martha L BulykDivision of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, USA. mlbulyk@genetics.med.harvard.edu.ORCID http://orcid.org/0000-0002-3456-4555

Funding

Training Program in Bioinformatics and Integrative GenomicsT32HG002295 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Peter J Park · 2001 to 2026
$15.8M
Notch Signaling in CancerR35CA220340 · NCI · HARVARD MEDICAL SCHOOL · PI BLACKLOW, STEPHEN C. · 2017 to 2023
$7.1M
Impact of Coding Variation on Transcription Factor - DNA Recognition_Diversity SupplementR01HG010501 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI MARTHA L BULYK · 2019 to 2026
$6.9M
Data Analysis Tools for Emerging High-Throughput TechnologiesR35GM131802 · NIGMS · DANA-FARBER CANCER INST · PI Rafael Angel Irizarry · 2019 to 2026
$4.1M
NCI NIH HHS R35 CA220340NHGRI NIH HHS R01 HG010501NHGRI NIH HHS T32 HG002295NIGMS NIH HHS R35 GM131802
6 · The paper itself

Abstract

Homeodomains (HDs) are the second largest class of DNA binding domains (DBDs) among eukaryotic sequence-specific transcription factors (TFs) and are the TF structural class with the largest number of disease-associated mutations in the Human Gene Mutation Database (HGMD). Despite numerous structural studies and large-scale analyses of HD DNA binding specificity, HD-DNA recognition is still not fully understood. Here, we analyze 92 human HD mutants, including disease-associated variants and variants of uncertain significance (VUS), for their effects on DNA binding activity. Many of the variants alter DNA binding affinity and/or specificity. Detailed biochemical analysis and structural modeling identifies 14 previously unknown specificity-determining positions, 5 of which do not contact DNA. The same missense substitution at analogous positions within different HDs often exhibits different effects on DNA binding activity. Variant effect prediction tools perform moderately well in distinguishing variants with altered DNA binding affinity, but poorly in identifying those with altered binding specificity. Our results highlight the need for biochemical assays of TF coding variants and prioritize dozens of variants for further investigations into their pathogenicity and the development of clinical diagnostics and precision therapies.

Indexed as

Homeodomain ProteinsTranscription FactorsDNAHumansModels, MolecularMutationDNAHomeodomain ProteinsTranscription Factors

Identifiers

PMID38600112
PMCPMC11006913

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.