Selected Grantee Publications
A Revamped Rat Reference Genome Improves the Discovery of Genetic Diversity in Laboratory Rats
de Jong, Cell Genomics. 2024.
https://www.cell.com/cell-genomics/fulltext/S2666-979X(24)00069-7
Rattus norvegicus has been used in many fields of study related to human disease; its genome was sequenced shortly after the genomes of Homo sapiens and Mus musculus. Investigators report extensive analyses of the improvements in mRatBN7.2, compared with the previous version. They conducted a broad analysis of a whole-genome sequencing data set of 163 samples from 120 inbred rat strains and substrains. Several additional resources have been created. This new assembly and its associated resources create a more solid platform for research on the many dimensions of physiology, behavior, and pathobiology of rats and can provide more reliable and meaningful translation of findings to human populations. Supported by ORIP (R24OD024617), NHGRI, NHLBI, and NIDA.
Identifying Potential Dietary Treatments for Inherited Metabolic Disorders Using Drosophila Nutrigenomics
Martelli et al., Cell Reports. 2024.
https://www.sciencedirect.com/science/article/pii/S221112472400189X?via%3Dihub=
Inherited metabolic disorders are known to cause severe neurological impairment and child mortality and can sometimes respond to dietary treatment; however, a suitable paradigm for testing diets is lacking for developing effective dietary treatment. In this study, researchers found that 26 of 35 Drosophila amino acid disorder models screened for disease–diet interactions displayed diet-altered development and/or survival. Among these models, researchers showed that dietary cysteine depletion normalizes metabolic profile and rescues development, neurophysiology, behavior, and life span in a model for isolated sulfite oxidase deficiency. These findings demonstrate the value of using Drosophila in studying diet-sensitive metabolic disorders and developing potential dietary therapies. Supported by ORIP (R24OD031447) and NHGRI.
Identification of Constrained Sequence Elements Across 239 Primate Genomes
Kuderna et al., Nature. 2024.
https://pubmed.ncbi.nlm.nih.gov/38030727/
Functional genomic elements that have acquired selective constraints specific to the primate order are prime candidates for understanding evolutionary changes in humans, but the selective constraints specific to the phylogenetic branch from which the human species ultimately emerged remain largely unidentified. Researchers constructed a genome-wide multiple sequence alignment of 239 primate species to better characterize constraint at noncoding regulatory sequences in the human genome. Their work reveals noncoding regulatory elements that are under selective constraint in primates but not in other placental mammals and are enriched for variants that affect human gene expression and complex traits in diseases. These findings highlight the important role of recent evolution in regulatory sequence elements differentiating primates, including humans, from other placental mammals. Supported by ORIP (P40OD024628), NHGRI, NIA, and NICHD.
Newly Identified Roles for PIEZO1 Mechanosensor in Controlling Normal Megakaryocyte Development and in Primary Myelofibrosis
Abbonante et al., American Journal of Hematology. 2024.
https://pubmed.ncbi.nlm.nih.gov/38165047/
Mechanisms through which mature megakaryocytes (Mks) and their progenitors sense the bone marrow extracellular matrix to promote lineage differentiation are only partially understood. The authors report that PIEZO1, a mechanosensitive cation channel, is expressed in mouse and human Mks, and activation of PIEZO1 increased the number of immature Mks in mice. Piezo1/2 knockout mice show an increase in Mk size and platelet count, both at basal state and upon marrow regeneration. Together, these data suggest that PIEZO1 places a brake on Mk maturation and platelet formation in physiology, and its upregulation might contribute to aggravating disease. Supported by ORIP (K01OD025290), NHGRI, NHLBI, and NCATS.
The Monarch Initiative in 2024: An Analytic Platform Integrating Phenotypes, Genes and Diseases Across Species
Putman et al., Nucleic Acids Research. 2024.
https://pubmed.ncbi.nlm.nih.gov/38000386/
The Monarch Initiative aims to bridge the gap between the genetic variations, environmental determinants, and phenotypic outcomes critical for translational research. The Monarch app provides researchers access to curated data sets with information on genes, phenotypes, and diseases across species and advanced analysis tools for such diverse applications as variant prioritization, deep phenotyping, and patient profile matching. Researchers describe upgrades to the app, including scalable cloud-based infrastructure, simplified data ingestion and knowledge graph integration systems, enhanced data mapping and integration standards, and a new user interface with novel search and graph navigation features. A customized plugin for OpenAI’s ChatGPT allows the use of large language models to interrogate knowledge in the Monarch graph and increase the reliability of the responses of Monarch’s analytic tools. These upgrades will enhance clinical diagnosis and the understanding of disease mechanisms. Supported by ORIP (R24OD011883), NLM, and NHGRI.