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Biomedical subjects

Richard Gibbs

Publications and source records attributed to Richard Gibbs.

9 recordsLinked to original sources

Whole genome sequence analysis of low-density lipoprotein cholesterol across 246 K individuals.

BACKGROUND: Rare genetic variation provided by whole genome sequence datasets has been relatively less explored for its contributions to human traits. Meta-analysis of sequencing data offers advantages by integrating larger sample sizes from diverse cohorts, thereby increasing the likelihood of discovering novel insights into complex traits. Furthermore, emerging methods in genome-wide rare variant association testing further improve power and interpretability. RESULTS: Here, we conduct the largest meta-analysis of whole genome sequencing for low-density lipoprotein cholesterol (LDL-C), a therapeutic target for coronary artery disease, analyzing data from 246 K participants and integrating 1.23B variants from the UK Biobank and the Trans-Omics for Precision Medicine (TOPMed) program. We identify numerous rare coding and non-coding gene associations related to LDL-C, with replication across 86 K participants in All of Us. Our findings are based on single-variant analyses, rare coding and non-coding variant aggregation tests, and sliding window approaches. Through this comprehensive analysis, we identify 704 novel single-variant associations, 25 novel rare coding variant aggregates, 28 novel rare non-coding variant aggregates, and one novel sliding window aggregate. CONCLUSIONS: This study provides a meta-analysis framework for large-scale whole genome sequence association analyses from diverse population groups, yielding novel rare non-coding variant associations.

Humans↗

Deeper into the genome.

Explore the source record for details and available documents.

Genetic Predisposition to Disease↗

Dual regulation and redundant function of two eye-specific enhancers of the Drosophila retinal determination gene dachshund.

Drosophila eye development is controlled by a conserved network of retinal determination (RD) genes. The RD genes encode nuclear proteins that form complexes and function in concert with extracellular signal-regulated transcription factors. Identification of the genomic regulatory elements that govern the eye-specific expression of the RD genes will allow us to better understand how spatial and temporal control of gene expression occurs during early eye development. We compared conserved non-coding sequences (CNCSs) between five Drosophilids along the approximately 40 kb genomic locus of the RD gene dachshund (dac). Our analysis uncovers two separate eye enhancers in intron eight and the 3' non-coding regions of the dac locus defined by clusters of highly conserved sequences. Loss- and gain-of-function analyses suggest that the 3' eye enhancer is synergistically activated by a combination of eya, so and dpp signaling, and only indirectly activated by ey, whereas the 5' eye enhancer is primarily regulated by ey, acting in concert with eya and so. Disrupting conserved So-binding sites in the 3' eye enhancer prevents reporter expression in vivo. Our results suggest that the two eye enhancers act redundantly and in concert with each other to integrate distinct upstream inputs and direct the eye-specific expression of dac.

3' Untranslated Regions↗

Genomic segmental polymorphisms in inbred mouse strains.

By analyzing genomic copy-number differences using high-resolution mouse whole-genome BAC arrays, we uncover substantial differences in regional DNA content between inbred strains of mice. The identification of these apparently common segmental polymorphisms suggests that these differences can contribute to genetic variability and pathologic susceptibility.

Animals↗

Accurate identification of novel human genes through simultaneous gene prediction in human, mouse, and rat.

We describe a new method for simultaneously identifying novel homologous genes with identical structure in the human, mouse, and rat genomes by combining pairwise predictions made with the SLAM gene-finding program. Using this method, we found 3698 gene triples in the human, mouse, and rat genomes which are predicted with exactly the same gene structure. We show, both computationally and experimentally, that the introns of these triples are predicted accurately as compared with the introns of other ab initio gene prediction sets. Computationally, we compared the introns of these gene triples, as well as those from other ab initio gene finders, with known intron annotations. We show that a unique property of SLAM, namely that it predicts gene structures simultaneously in two organisms, is key to producing sets of predictions that are highly accurate in intron structure when combined with other programs. Experimentally, we performed reverse transcription-polymerase chain reaction (RT-PCR) in both the human and rat to test the exon pairs flanking introns from a subset of the gene triples for which the human gene had not been previously identified. By performing RT-PCR on orthologous introns in both the human and rat genomes, we additionally explore the validity of using RT-PCR as a method for confirming gene predictions.

Animals↗

Sequence and structure of the extrachromosomal palindrome encoding the ribosomal RNA genes in Dictyostelium.

Ribosomal RNAs (rRNAs) are encoded by multicopy families of identical genes. In Dictyostelium and other protists, the rDNA is carried on extrachromosomal palindromic elements that comprise up to 20% of the nuclear DNA. We present the sequence of the 88 kb Dictyostelium rDNA element, noting that the rRNA genes are likely to be the only transcribed regions. By interrogating a library of ordered YAC clones, we provide evidence for a chromosomal copy of the rDNA on chromosome 4. This locus may provide master copies for the stable transmission of the extrachromosomal elements. The extrachromosomal elements were also found to form chromosome-sized clusters of DNA within nuclei of nocodazole-treated cells arrested in mitosis. These clusters resemble true chromosomes and may allow the efficient segregation of the rDNA during mitosis. These rDNA clusters may also explain the cytological observations of a seventh chromosome in this organism.

Animals↗

The beta-globin C-->G mutation at 6 bp 3' to the termination codon causes beta-thalassaemia by decreasing the mRNA level.

We have studied the expression of the silent beta-thalassaemia term+6 (C-->G) mutation, at nucleotide 6 after the stop codon within the human beta-globin 3' untranslated regions (3'UTR), by stable transfection in murine erythroleukaemia (MEL) cells. Steady state mRNA levels from transfected MEL cells containing the term+6 mutant allele were reduced by 52-60%, compared with those obtained from the normal beta-globin gene, in both total and cytoplasmic RNA fractions, showing that the mutation itself is responsible for the similar data obtained from patients. Upon analysis of nuclear RNA, the term+6 mutation was found to also lower the ratio of cleaved/uncleaved transcripts by 22-30%, thus revealing that it interferes with correct 3'-end formation of beta-globin mRNA. The term+6 mutation lies within a polypyrimidine track, similar to that in the beta-intervening sequence II (beta-IVSII), which is known to be an important contributor to the promotion of premRNA 3'-end formation. We propose that the two polypyrimidine tracks flanking the translated region of exon III of the human beta-globin gene may co-operate during beta-globin mRNA biogenesis.

Child↗

Inhibition of glucose- and calcium-induced insulin secretion from betaTC3 cells by novel inhibitors of protein isoprenylation.

The majority of low molecular weight G proteins undergoes a series of post-translational modification steps, e.g., isoprenylation, at their C-terminal cysteine, which seem to be critical for the transport of the modified proteins to the membrane sites for interaction with their respective effector proteins. Using lovastatin, an inhibitor of mevalonic acid, and hence, isoprenoid biosynthesis, we demonstrated previously that protein isoprenylation is critical for physiological insulin secretion from normal rat islets. Herein, we used more selective synthetic inhibitors of protein prenylation to examine their effects on glucose- and calcium-mediated insulin secretion from betaTC3 cells. Both 3-allyl- and vinylfarnesols, which inhibit and/or modulate protein farnesyl transferases, significantly (80-95%) inhibited glucose- and KCl-stimulated insulin secretion from these cells. In a similar manner, the allyl and vinyl forms of geranylgeraniol, reagents targeted toward protein geranylation, attenuated insulin secretion elicited by glucose and KCl. Furthermore, manumycin A, a natural inhibitor of protein farnesylation, and geranylgeranyl transferase inhibitor-2147 (GGTI-2147), a peptidomimetic inhibitor of protein geranylgeranylation, also inhibited glucose- and KCl-induced insulin secretion to comparable degrees. Treatment of betaTC3 cells with either 3-vinylfarnesol or 3-vinyl geranylgeraniol resulted in accumulation of unprenylated proteins in the cytosolic fraction. These data further support our original formulation that inhibition of isoprenylation of small molecular weight G proteins might impede their interaction with their putative effectors, which may be required for physiological insulin secretion.

Alkyl and Aryl Transferases↗

Identification of prognosis markers in pediatric high-risk acute lymphoblastic leukemia.

Gene expression profiling may improve the understanding of the biology behind relapse in pediatric acute lymphoblastic leukemia. Using suppression subtractive hybridization (SSH), cDNA concatenated sequencing (CCS), and reverse transcriptase real-time quantitative polymerase chain reaction (RT-RQ-PCR) on high-risk patient samples with nondeterminant chromosomal translocation, the authors identified 3 genes that were significantly overexpressed in the nonrelapsed patients: the calcium/calmodulin-dependent serine protein kinase (CASK), subunit 2 of the cofactor required for SP1 transcriptional activation (CRSP2), and granzyme K (GZMK). The level of expression of these biomarkers may help identify patients with potentially good prognosis within a group otherwise at high risk of relapse.

Adolescent↗