Publications by authors named "Capra J"

Inactivation of disease alleles by allele-specific editing is a promising approach to treat dominant-negative genetic disorders, provided the causative gene is haplo-sufficient. We previously edited a dominant missense mutation with inactivating frameshifts and rescued disease-relevant phenotypes in induced pluripotent stem cell (iPSC)-derived motor neurons. However, a multitude of different missense mutations cause disease.

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  • The study reviews how ancient DNA (aDNA) has improved our understanding of human migrations but has limitations in linking genetic information to observable traits (phenotypes).
  • It discusses recent advancements in predicting ancient phenotypes using machine learning techniques and emphasizes the challenges posed by the complex genetic traits found in various human populations.
  • The authors suggest a new method that combines predictions of molecular traits, which are more stable over time, with non-genetic factors to enhance the understanding of ancient individuals' characteristics.
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  • Epigenetic clocks measure aging rates through DNA methylation patterns and could help predict age-related diseases like Alzheimer's, but lack validation in genetically diverse groups.* -
  • A study evaluated these clocks in 621 Alzheimer's patients and controls from African American, Hispanic, and white backgrounds, revealing reduced accuracy in those with mixed ancestries, particularly with substantial African heritage.* -
  • The findings indicate that methylation-related genetic variations (meQTL) are more common in individuals of African ancestry, highlighting the need for improvements to make these clocks more effective across diverse populations.*
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Recent gene expression studies have revealed about 10 different states of microglia, some of which are characteristic for Alzheimer-like amyloid plaque pathology. However, it is not presently known how these translate into morphological features that would reflect microglia interaction with amyloid plaques. With optimized conditions for confocal microscopy in amyloid plaque forming APP/PS1 transgenic mice we reveal new details of how microglia processes interact with amyloid plaques.

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  • * A new machine learning method enables the quantification of 3D chromatin contacts from genome sequences, revealing notable differences in contact and sequence divergence, particularly in specific genomic windows.
  • * The research shows that in regions with high 3D divergence, certain genetic variants can lead to significant changes in chromatin contact without corresponding changes in the DNA sequence, highlighting the complexity of genetic variation impacts.
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The 3D structure of the genome is an important mediator of gene expression. As phenotypic divergence is largely driven by gene regulatory variation, comparing genome 3D contacts across species can further understanding of the molecular basis of species differences. However, while experimental data on genome 3D contacts in humans are increasingly abundant, only a handful of 3D genome contact maps exist for other species.

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An understanding of human brain individuality requires the integration of data on brain organization across people and brain regions, molecular and systems scales, as well as healthy and clinical states. Here, we help advance this understanding by leveraging methods from computational genomics to integrate large-scale genomic, transcriptomic, neuroimaging, and electronic-health record data sets. We estimated genetically regulated gene expression (gr-expression) of 18,647 genes, across 10 cortical and subcortical regions of 45,549 people from the UK Biobank.

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  • Effective diagnosis of rare genetic disorders involves interpreting genetic variants of unknown significance (VUSs), and VUStruct enhances existing methods by analyzing these variants within the context of 3D protein structures.
  • VUStruct, a web-based analysis pipeline, utilizes advanced computational techniques and artificial intelligence to assess protein stability, predict pathogenicity, and identify potential gene interactions in complex diseases.
  • The tool has been successfully applied in over 175 Undiagnosed Disease Network patient cases, providing valuable insights for clinicians and guiding academic research collaborations.
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  • The study investigates the connection between interferon and systemic lupus erythematosus (SLE), focusing on how transposable elements (TEs) might influence SLE symptoms, particularly autoantibody production.
  • Researchers analyzed RNA-sequencing data from immune cells in 120 SLE patients, identifying over 27,000 TEs and observing 731 that were differentially expressed among various SLE phenotypes.
  • Results indicate that specific TEs are linked to genes responsible for antiviral responses and IFN signaling, highlighting their potential role in understanding and treating SLE.
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Mutations in the kinase and juxtamembrane domains of the MET Receptor Tyrosine Kinase are responsible for oncogenesis in various cancers and can drive resistance to MET-directed treatments. Determining the most effective inhibitor for each mutational profile is a major challenge for MET-driven cancer treatment in precision medicine. Here, we used a deep mutational scan (DMS) of ~5,764 MET kinase domain variants to profile the growth of each mutation against a panel of 11 inhibitors that are reported to target the MET kinase domain.

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Background: KCNE1 encodes a 129-residue cardiac potassium channel (I) subunit. KCNE1 variants are associated with long QT syndrome and atrial fibrillation. However, most variants have insufficient evidence of clinical consequences and thus limited clinical utility.

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SLC22A10 is an orphan transporter with unknown substrates and function. The goal of this study is to elucidate its substrate specificity and functional characteristics. In contrast to orthologs from great apes, human SLC22A10, tagged with green fluorescent protein, is not expressed on the plasma membrane.

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Non-protein-coding genetic variants are a major driver of the genetic risk for human disease; however, identifying which non-coding variants contribute to diseases and their mechanisms remains challenging. In silico variant prioritization methods quantify a variant's severity, but for most methods, the specific phenotype and disease context of the prediction remain poorly defined. For example, many commonly used methods provide a single, organism-wide score for each variant, while other methods summarize a variant's impact in certain tissues and/or cell types.

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Molecular studies of Alzheimer's disease (AD) implicate potential links between autoimmunity and AD, but the underlying clinical relationships between these conditions remain poorly understood. Electronic health records (EHRs) provide an opportunity to determine the clinical risk relationship between autoimmune disorders and AD and understand whether specific disorders and disorder subtypes affect AD risk at the phenotypic level in human populations. We evaluated relationships between 26 autoimmune disorders and AD across retrospective observational case-control and cohort study designs in the EHR systems at UCSF and Stanford.

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Objective: Hyaluronic acid (HA) in synovial fluid (SF) contributes to boundary lubrication with altered levels in osteoarthritis (OA) and rheumatoid arthritis (RA). SF extracellular vesicles (EVs) may participate in arthritis by affecting inflammation and cartilage degradation. It remains unknown whether HA and EVs display joint-specific alterations in arthritic SFs.

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Gene regulatory divergence between species can result from cis-acting local changes to regulatory element DNA sequences or global trans-acting changes to the regulatory environment. Understanding how these mechanisms drive regulatory evolution has been limited by challenges in identifying trans-acting changes. We present a comprehensive approach to directly identify cis- and trans-divergent regulatory elements between human and rhesus macaque lymphoblastoid cells using assay for transposase-accessible chromatin coupled to self-transcribing active regulatory region (ATAC-STARR) sequencing.

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Treatment-induced neuroendocrine prostate cancer (t-NEPC) is a lethal subtype of castration-resistant prostate cancer resistant to androgen receptor (AR) inhibitors. Our study unveils that AR suppresses the neuronal development protein dihydropyrimidinase-related protein 5 (DPYSL5), providing a mechanism for neuroendocrine transformation under androgen deprivation therapy. Our unique CRPC-NEPC cohort, comprising 135 patient tumor samples, including 55 t-NEPC patient samples, exhibits a high expression of DPYSL5 in t-NEPC patient tumors.

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  • * A new machine learning method was developed to estimate 3D chromatin contacts from genomic sequences, applied to a diverse group of modern humans and ancestral genomes, revealing differences in contact patterns that don't always match sequence differences.
  • * The research identified specific genomic regions with significant 3D divergence, suggesting that even small genetic changes can affect chromatin contacts significantly, highlighting the complexity of genetic variation's role in gene regulation.
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  • The migration of modern Eurasians from Africa involved interbreeding with Neanderthals and Denisovans, incorporating archaic DNA into their genomes, which may have helped adaptation to new environments.
  • Research examined the evolution of circadian rhythms (chronotypes) by comparing gene sequences between archaic hominins and present-day humans, identifying differences in 28 circadian genes that could affect gene expression and regulation.
  • The study found that archaic genetic variants are linked to chronotype traits, particularly favoring morningness, suggesting possible adaptations in response to higher latitudes, and highlighted specific genes with evidence of adaptive introgression.
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Background: Preterm birth (PTB) is the leading cause of infant mortality and follows multiple biological pathways, many of which are poorly understood. Some PTBs result from medically indicated labor following complications from hypertension and/or diabetes, while many others are spontaneous with unknown causes. Previously, investigation of potential risk factors has been limited by lack of data on maternal medical history and the difficulty of classifying PTBs as indicated or spontaneous.

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There is an established yet unexplained link between interferon (IFN) and systemic lupus erythematosus (SLE). The expression of sequences derived from transposable elements (TEs) may contribute to production of type I IFNs and generation of autoantibodies. We profiled cell-sorted RNA-seq data (CD4+ T cells, CD14+ monocytes, CD19+ B cells, and NK cells) from PBMCs of 120 SLE patients and quantified TE expression identifying 27,135 TEs.

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Phenotypic divergence between closely related species, including bonobos and chimpanzees (genus ), is largely driven by variation in gene regulation. The 3D structure of the genome mediates gene expression; however, genome folding differences in are not well understood. Here, we apply machine learning to predict genome-wide 3D genome contact maps from DNA sequence for 56 bonobos and chimpanzees, encompassing all five extant lineages.

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SLC22A10 is classified as an orphan transporter with unknown substrates and function. Here we describe the discovery of the substrate specificity and functional characteristics of SLC22A10. The human SLC22A10 tagged with green fluorescent protein was found to be absent from the plasma membrane, in contrast to the SLC22A10 orthologs found in great apes.

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SLC22A10 is classified as an orphan transporter with unknown substrates and function. Here we describe the discovery of the substrate specificity and functional characteristics of SLC22A10. The human SLC22A10 tagged with green fluorescent protein was found to be absent from the plasma membrane, in contrast to the SLC22A10 orthologs found in great apes.

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Protein function can be impacted by changes in protein structure stability, but determining which change has impact is complex. Stability can be affected by a large change in the tertiary (3D) structure of the protein or due to free-energy changes caused by single amino acid substitutions. Changes in the DNA sequence can have minor or major impact on protein stability, which can lead to disease.

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