scispace - formally typeset
Search or ask a question
Institution

J. Craig Venter Institute

NonprofitLa Jolla, California, United States
About: J. Craig Venter Institute is a nonprofit organization based out in La Jolla, California, United States. It is known for research contribution in the topics: Genome & Gene. The organization has 1268 authors who have published 2300 publications receiving 304083 citations. The organization is also known as: JCVI & The Institute for Genomic Research.
Topics: Genome, Gene, Genomics, Population, Microbiome


Papers
More filters
Journal ArticleDOI
TL;DR: Mounting evidence in support of the presence of a relic plastid in P. marinus is revealed, including the existence of multimembrane structures, characteristic metabolic pathways and proteins with a bipartite N-terminal extension, which raises intriguing questions regarding the potential functions and unique adaptation of the putative plastsid and/or plastids genes in the Perkinsozoa.

61 citations

Journal ArticleDOI
TL;DR: Genes involved with steatosis pathogenesis may also be involved with fibrosis pathogenesis and the proportion of phenotypic variance between two phenotypes accounted for by additive genetic effects and individual‐specific environmental effects is estimated.

61 citations

Journal ArticleDOI
TL;DR: It is suggested that a feasible approach to collecting genome-scale data sets for evolutionary biology (i.e., evolutionary genomics) may consist of combination of DNA samples prior to cloning and sequencing, followed by computational reconstruction of the original sequences, to allow the full benefit of automated protocols developed by genome projects to be realized.
Abstract: Comparative analysis is one of the most powerful methods available for understanding the diverse and complex systems found in biology, but it is often limited by a lack of comprehensive taxonomic sampling. Despite the recent development of powerful genome technologies capable of producing sequence data in large quantities (witness the recently completed first draft of the human genome), there has been relatively little change in how evolutionary studies are conducted. The application of genomic methods to evolutionary biology is a challenge, in part because gene segments from different organisms are manipulated separately, requiring individual purification, cloning, and sequencing. We suggest that a feasible approach to collecting genome-scale data sets for evolutionary biology (i.e., evolutionary genomics) may consist of combination of DNA samples prior to cloning and sequencing, followed by computational reconstruction of the original sequences. This approach will allow the full benefit of automated protocols developed by genome projects to be realized; taxon sampling levels can easily increase to thousands for targeted genomes and genomic regions. Sequence diversity at this level will dramatically improve the quality and accuracy of phylogenetic inference, as well as the accuracy and resolution of comparative evolutionary studies. In particular, it will be possible to make accurate estimates of normal evolution in the context of constant structural and functional constraints (i.e., site-specific substitution probabilities), along with accurate estimates of changes in evolutionary patterns, including pairwise coevolution between sites, adaptive bursts, and changes in selective constraints. These estimates can then be used to understand and predict the effects of protein structure and function on sequence evolution and to predict unknown details of protein structure, function, and functional divergence. In order to demonstrate the practicality of these ideas and the potential benefit for functional genomic analysis, we describe a pilot project we are conducting to simultaneously sequence large numbers of vertebrate mitochondrial genomes.

61 citations

Journal ArticleDOI
TL;DR: In this article, the role of the nasopharyngeal microbiome in the development of childhood wheezing illnesses following RSV ARI in infancy was examined, and a nested cohort study of 118 previously healthy, term infants with confirmed RSVARI by RT-PCR was conducted.
Abstract: Background Early life acute respiratory infection (ARI) with respiratory syncytial virus (RSV) has been strongly associated with the development of childhood wheezing illnesses, but the pathways underlying this association are poorly understood. Objective To examine the role of the nasopharyngeal microbiome in the development of childhood wheezing illnesses following RSV ARI in infancy. Methods We conducted a nested cohort study of 118 previously healthy, term infants with confirmed RSV ARI by RT-PCR. We used next-generation sequencing of the V4 region of the 16S ribosomal RNA gene to characterize the nasopharyngeal microbiome during RSV ARI. Our main outcome of interest was 2-year subsequent wheeze. Results Of the 118 infants, 113 (95.8%) had 2-year outcome data. Of these, 46 (40.7%) had parental report of subsequent wheeze. There was no association between the overall taxonomic composition, diversity, and richness of the nasopharyngeal microbiome during RSV ARI with the development of subsequent wheeze. However, the nasopharyngeal detection and abundance of Lactobacillus was consistently higher in infants who did not develop this outcome. Lactobacillus also ranked first among the different genera in a model distinguishing infants with and without subsequent wheeze. Conclusions The nasopharyngeal detection and increased abundance of Lactobacillus during RSV ARI in infancy are associated with a reduced risk of childhood wheezing illnesses at age 2 years.

61 citations

Journal ArticleDOI
TL;DR: A universal workflow to evaluate both technical and biological variation in multiparameter flow cytometry, applied to the development of a 10-color panel to identify all major cell populations and T cell subsets in cryopreserved PBMC is reported on.
Abstract: In the context of large-scale human system immunology studies, controlling for technical and biological variability is crucial to ensure that experimental data support research conclusions. In this study, we report on a universal workflow to evaluate both technical and biological variation in multiparameter flow cytometry, applied to the development of a 10-color panel to identify all major cell populations and T cell subsets in cryopreserved PBMC. Replicate runs from a control donation and comparison of different gating strategies assessed the technical variability associated with each cell population and permitted the calculation of a quality control score. Applying our panel to a large collection of PBMC samples, we found that most cell populations showed low intraindividual variability over time. In contrast, certain subpopulations such as CD56 T cells and Temra CD4 T cells were associated with high interindividual variability. Age but not gender had a significant effect on the frequency of several populations, with a drastic decrease in naive T cells observed in older donors. Ethnicity also influenced a significant proportion of immune cell population frequencies, emphasizing the need to account for these covariates in immune profiling studies. We also exemplify the usefulness of our workflow by identifying a novel cell-subset signature of latent tuberculosis infection. Thus, our study provides a universal workflow to establish and evaluate any flow cytometry panel in systems immunology studies.

61 citations


Authors

Showing all 1274 results

NameH-indexPapersCitations
John R. Yates1771036129029
Anders M. Dale156823133891
Ronald W. Davis155644151276
Steven L. Salzberg147407231756
Mark Raymond Adams1471187135038
Nicholas J. Schork12558762131
William R. Jacobs11849048638
Ian T. Paulsen11235469460
Michael B. Brenner11139344771
Kenneth H. Nealson10848351100
Claire M. Fraser10835276292
Stephen L. Hoffman10445838597
Michael J. Brownstein10227447929
Amalio Telenti10242140509
John Quackenbush9942767029
Network Information
Related Institutions (5)
Wellcome Trust Sanger Institute
9.6K papers, 1.2M citations

94% related

Broad Institute
11.6K papers, 1.5M citations

92% related

Cold Spring Harbor Laboratory
6.6K papers, 1M citations

92% related

Pasteur Institute
50.3K papers, 2.5M citations

92% related

Howard Hughes Medical Institute
34.6K papers, 5.2M citations

92% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20233
202211
2021116
2020141
2019154
2018157