Selected Grantee Publications
The Gene Expression Profile and Cell of Origin of Canine Peripheral T-Cell Lymphoma
Owens et al., BMC Cancer. 2024.
https://pubmed.ncbi.nlm.nih.gov/38166662/
Peripheral T-cell lymphoma (PTCL) refers to a heterogenous group of T-cell neoplasms with poor treatment responses and survival times. Canine PTCL clinically and immunophenotypically resembles the most common human subtype, PTCL-NOS (PTCL-not otherwise specified), and is a naturally occurring model for human PTCL. Gene expression profiling in human PTCL-NOS has helped characterize this ambiguous diagnosis into distinct subtypes, but similar gene expression profiling in canine PTCL is lacking. Canine CD4+ PTCL most closely resembles the GATA3-PTCL subtype of PTCL-NOS and may originate from an earlier stage of T-cell development than the more conventionally posited mature T-helper cell origin. Supported by ORIP (T32OD010437).
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.
Conduction-Dominated Cryomesh for Organism Vitrification
Guo et al., Advanced Science. 2024.
https://pubmed.ncbi.nlm.nih.gov/38018294/
Vitrification-based cryopreservation via cryomesh is a promising approach for maintaining biodiversity, health care, and sustainable food production via long-term preservation of biological systems. Here, researchers conducted a series of experiments aimed at optimizing the cooling and rewarming rates of cryomesh to increase the viability of various cryopreserved biosystems. They found that vitrification was significantly improved by increasing thermal conductivity, reducing mesh wire diameter and pore size, and minimizing the nitrogen vapor barrier of the conduction-dominated cryomesh. Cooling rates increased twofold to tenfold in a variety of biosystems. The conduction-dominated cryomesh improved the cryopreservation outcomes of coral larvae, Drosophila embryos, and zebrafish embryos by vitrification. These findings suggest that the conduction-dominated cryomesh can improve vitrification in such biosystems for biorepositories, agriculture and aquaculture, and research. Supported by ORIP (R24OD028444, R21OD028758, R24OD034063, R21OD028214), NIDDK, and NIGMS.
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.
Host Genetic Variation Impacts SARS-CoV-2 Vaccination Response in the Diversity Outbred Mouse Population
Cruz Cisneros et al., Vaccines. 2024.
https://pubmed.ncbi.nlm.nih.gov/38276675/
The COVID-19 pandemic led to the rapid and worldwide development of highly effective vaccines against SARS-CoV-2. Although host genetic factors are known to affect vaccine efficacy for such respiratory pathogens as influenza and tuberculosis, the impact of host genetic variation on vaccine efficacy against COVID-19 is not well understood. Investigators used the diversity outbred mouse model to study the effects of genetic variation on vaccine efficiency. Data indicate that variations in vaccine response in mice are heritable, similar to that in human populations. Supported by ORIP (U42OD010924), NIAID, and NIGMS.
The Landscape of SETBP1 Gene Expression and Transcription Factor Activity Across Human Tissues
Whitlock et al., PLOS One. 2024.
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0296328
The SET binding protein 1 (SETBP1) gene encodes a transcription factor (TF) involved in various cellular processes. Variants in SETBP1 can result in different diseases determined by the introduction (i.e., germline vs. somatic) and location of the variant. To better understand the tissue-specific mechanisms involving SETBP1, investigators analyzed publicly available RNA-sequencing data from the Genotype-Tissue Expression project. This study provides insight into the landscape of SETBP1 expression across 31 non-diseased human tissues and reveals tissue-specific expression and activity of SETBP1 and its targets. Supported by ORIP (U54OD030167) and NIGMS.
Plasticity of Intragraft Alloreactive T Cell Clones in Human Gut Correlates With Transplant Outcomes
Fu et al., Journal of Experimental Medicine. 2024.
https://pubmed.ncbi.nlm.nih.gov/38091025/
This study provides novel insights into tissue-resident memory T-cell (TRM) biology. The authors performed single-cell immune profiling to integrate clonotype, alloreactivity, and gene expression profiles of graft-repopulating recipient T cells in the intestinal mucosa after transplantation. They found that preexisting host-versus-graft (HvG)–reactive T cells were heterogenous and identified a trajectory from TRM to effector T/TRM profiles for rejection and dominant TRM profiles with tolerance in the quiescent allografts. Putative de novo HvG-reactive T cells showed a transcriptional profile skewed to cytotoxic effectors in rejecting grafts. Analysis of the inferred protein regulon network revealed upstream regulons for alloreactive T-cell tolerance and effector functions, opening opportunities for future translational studies to induce immune tolerance and overcome rejection. Supported by ORIP (S10OD020056) and NIAID.
Responses to Acute Infection with SARS-CoV-2 in the Lungs of Rhesus Macaques, Baboons and Marmosets
Singh et al., Nature Microbiology. 2020.
https://www.nature.com/articles/s41564-020-00841-4
Investigators compared acute SARS-CoV-2 infection in young and old rhesus macaques and baboons. Macaques had clinical signs of viral infection, mild to moderate pneumonitis and extra-pulmonary pathologies; both age groups recovered within 2 weeks. Baboons had prolonged viral RNA shedding and more lung inflammation compared with macaques; inflammation in bronchoalveolar lavage was increased in old versus young baboons. Macaques developed T-cell memory responses and bystander cytokine production. Old macaques had lower titers of SARS-CoV-2-specific IgG antibody levels compared with young macaques. The results indicate macaques and baboons experience acute respiratory distress that recapitulates the progression of COVID-19 in humans. Supported by ORIP (P51OD111033 and U42OD010442) and NIAID.
Sequence Diversity Analyses of an Improved Rhesus Macaque Genome Enhance its Biomedical Utility
Warren et al., Science. 2020.
https://science.sciencemag.org/content/370/6523/eabc6617
Investigators sequenced and assembled an Indian-origin female rhesus macaque (RM) genome using a multiplatform genomics approach that included long-read sequencing, extensive manual curation, and experimental validation to generate a new comprehensive annotated reference genome. As a result, 99.7% of the gaps in the earlier draft genome are now closed, and more than 99% of the genes are represented. Whole-genome sequencing of 853 RMs of both sexes identified 85.7 million single-nucleotide variants and 10.5 million indel variants, including potentially damaging variants in genes associated with human autism and developmental delay. The improved assembly of segmental duplications, new lineage-specific genes and expanded gene families provide a framework for developing noninvasive NHP models for human disease, as well as studies of genetic variation and phenotypic consequences. Supported by ORIP (P51OD011106, P51OD011107, P51OD011132, P51OD011104, U42OD024282, U42OD010568, R24OD011173, R24OD021324, R24OD010962), NHGRI, NIMH, NHLBI, and NIGMS.
The Immune Landscape in Tuberculosis Reveals Populations Linked to Disease and Latency
Esaulova et al., Cell Host Microbe. 2020.
https://pubmed.ncbi.nlm.nih.gov/33340449/
Mycobacterium tuberculosis infection of adult rhesus macaques (RMs), predominantly males (81%), recapitulates both latent (LTBI) and active pulmonary TB (PTB) observed in humans. The immune characterization in lungs of RMs with PTB exhibited an influx of plasmacytoid dendritic cells, an interferon-responsive macrophage population, and activated T cell responses. In contrast, a CD27+ natural killer (NK) cell subset accumulated in the lungs of RMs with LTBI. This NK cell population was also detected in the circulation of humans with LTBI. This characterization of lung immune cells enhances our understanding of TB immunopathogenesis and provides potential targets for therapies and vaccines for TB control. Supported by ORIP (P51OD011104 and P51OD011133), NHLBI, and NIAID.