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Leroy Hood

Publications and source records attributed to Leroy Hood.

71 records · Page 4Linked to original sources
PubMed2002

A genomic regulatory network for development.

Development of the body plan is controlled by large networks of regulatory genes. A gene regulatory network that controls the specification of endoderm and mesoderm in the sea urchin embryo is summarized here. The network was derived from large-scale perturbation analyses, in combination with computational methodologies, genomic data, cis-regulatory analysis, and molecular embryology. The network contains over 40 genes at present, and each node can be directly verified at the DNA sequence level by cis-regulatory analysis. Its architecture reveals specific and general aspects of development, such as how given cells generate their ordained fates in the embryo and why the process moves inexorably forward in developmental time.

Animals↗
PubMed2002

Human prostate epithelial cell-type cDNA libraries and prostate expression patterns.

BACKGROUND: Transcriptome analysis is a powerful approach to uncovering genes responsible for diseases such as prostate cancer. Ideally, one would like to compare the transcriptomes of a cancer cell and its normal counterpart for differences. METHODS: Prostate luminal and basal epithelial cell types were isolated and cell-type-specific cDNA libraries were constructed. Sequence analysis of cDNA clones generated 505 luminal cell genes and 560 basal cell genes. These sequences were deposited in a public database for expression analysis. RESULTS: From these sequences, 119 unique luminal expressed sequence tags (ESTs) were extracted and assembled into a luminal-cell transcriptome set, while 154 basal ESTs were extracted and assembled into a basal-cell set. Interlibrary comparison was performed to determine representation of these sequences in cDNA libraries constructed from prostate tumors, PIN, cell lines. CONCLUSIONS: Our analysis showed that a significant number of epithelial cell genes were not represented in the various transcriptomes of prostate tissues, suggesting that they might be underrepresented in libraries generated from tissue containing multiple cell types. Although both luminal and basal cell types are epithelial, their transcriptomes are more divergent from each other than expected, underscoring their functional difference (secretory vs. nonsecretory). Tumor tissues show different expression of luminal and basal genes, with perhaps a trend towards expression of basal genes in advanced diseases.

DNA, Complementary↗
PubMed2002

Differential gene expression profiling of adult murine hematopoietic stem cells.

Hematopoietic stem cells (HSCs) have self-renewal capacity and multilineage developmental potentials. The molecular mechanisms that control the self-renewal of HSCs are still largely unknown. Here, a systematic approach using bioinformatics and array hybridization techniques to analyze gene expression profiles in HSCs is described. To enrich mRNAs predominantly expressed in uncommitted cell lineages, 54 000 cDNA clones generated from a highly enriched population of HSCs and a mixed population of stem and early multipotent progenitor (MPP) cells were arrayed on nylon membranes (macroarray or high-density array), and subtracted with cDNA probes derived from mature lineage cells including spleen, thymus, and bone marrow. Five thousand cDNA clones with very low hybridization signals were selected for sequencing and further analysis using microarrays on glass slides. Two populations of cells, HSCs and MPP cells, were compared for differential gene expression using microarray analysis. HSCs have the ability to self-renew, while MPP cells have lost the capacity for self-renewal. A large number of genes that were differentially expressed by enriched populations of HSCs and MPP cells were identified. These included transcription factors, signaling molecules, and previously unknown genes.

Animals↗
PubMed2002

Analysis of the human neurexin genes: alternative splicing and the generation of protein diversity.

The neurexins are neuronal proteins that function as cell adhesion molecules during synaptogenesis and in intercellular signaling. Although mammalian genomes contain only three neurexin genes, thousands of neurexin isoforms may be expressed through the use of two alternative promoters and alternative splicing at up to five different positions in the pre-mRNA. To begin understanding how the expression of the neurexin genes is regulated, we have determined the complete nucleotide sequence of all three human neurexin genes: NRXN1, NRXN2, and NRXN3. Unexpectedly, two of these, NRXN1 ( approximately 1.1 Mb) and NRXN3 ( approximately 1.7 Mb), are among the largest known human genes. In addition, we have identified several conserved intronic sequence elements that may participate in the regulation of alternative splicing. The sequences of these genes provide insight into the mechanisms used to generate the diversity of neurexin protein isoforms and raise several interesting questions regarding the expression mechanism of large genes.

Alternative Splicing↗
PubMed2002

Complementary profiling of gene expression at the transcriptome and proteome levels in Saccharomyces cerevisiae.

Using an integrated genomic and proteomic approach, we have investigated the effects of carbon source perturbation on steady-state gene expression in the yeast Saccharomyces cerevisiae growing on either galactose or ethanol. For many genes, significant differences between the abundance ratio of the messenger RNA transcript and the corresponding protein product were observed. Insights into the perturbative effects on genes involved in respiration, energy generation, and protein synthesis were obtained that would not have been apparent from measurements made at either the messenger RNA or protein level alone, illustrating the power of integrating different types of data obtained from the same sample for the comprehensive characterization of biological systems and processes.

Databases as Topic↗
PubMed2002

Analysis of acute myelogenous leukemia: preparation of samples for genomic and proteomic analyses.

During the last decade, several large clinical studies have demonstrated that analysis of chromosomal abnormalities is an essential basis for therapeutic decisions in patients with acute myelogenous leukemia (AML), and cytogenetic studies should now be regarded as mandatory both for routine treatment and as a part of clinical investigations in AML. However, new techniques for detailed genetic characterization and analysis of gene expression as well as protein modulation will become important in the further classification of AML subsets and the development of risk-adapted therapeutic strategies. In this context, we emphasize the importance of population-based clinical studies as a basis for future therapeutic guidelines. Such studies will then require the inclusion of patients at small clinical centers without specialized hematological research laboratories. To document a high and uniform quality of the laboratory investigations, it will be necessary to collect material for later analysis in selected laboratories. In this article, we describe current methods for collection of biological samples that can be used for later preparation of DNA, RNA, and proteins. With the use of gradient-separated AML cells, it should be possible to establish the necessary techniques for collection and handling of biological samples even at smaller centers, and complete collections from all included patients should then be possible even in population-based clinical studies.

Cytogenetic Analysis↗
PubMed2002

Genomic analysis of the olfactory receptor region of the mouse and human T-cell receptor alpha/delta loci.

We have conducted a comparative genomic analysis of several olfactory receptor (OR) genes that lie immediately 5' to the V-alpha gene segments at the mouse and human T-cell receptor (TCR) alpha/delta loci. Five OR genes are identified in the human cluster. The murine cluster has at least six OR genes; the first five are orthologous to the human genes. The sixth mouse gene has arisen since mouse-human divergence by a duplication of a approximately 10-kb block. One pair of OR paralogs found at the mouse and human loci are more similar to each other than to their corresponding orthologs. This paralogous "twinning" appears to be under selection, perhaps to increase sensitivity to particular odorants or to resolve structurally-similar odorants. The promoter regions of the mouse OR genes were identified by RACE-PCR. Orthologs share extensive 5' UTR homology, but we find no significant similarity among paralogs. These findings extend previous observations that suggest that OR genes do not share local significant regulatory homology despite having a common regulatory agenda. We also identified a diverged TCR-alpha gene segment that uses a divergent recombination signal sequence (RSS) to initiate recombination in T-cells from within the OR region. We explored the hypothesis that OR genes may use DNA recombination in expressing neurons, e.g., to recombine ORs into a transcriptionally active locus. We searched the mouse sequence for OR-flanking RSS motifs, but did not find evidence to suggest that these OR genes use TCR-like recombination target sequences.

Animals↗
PubMed2002

Activated Notch4 inhibits angiogenesis: role of beta 1-integrin activation.

Notch4 is a member of the Notch family of transmembrane receptors that is expressed primarily on endothelial cells. Activation of Notch in various cell systems has been shown to regulate cell fate decisions. The sprouting of endothelial cells from microvessels, or angiogenesis, involves the modulation of the endothelial cell phenotype. Based on the function of other Notch family members and the expression pattern of Notch4, we postulated that Notch4 activation would modulate angiogenesis. Using an in vitro endothelial-sprouting assay, we show that expression of constitutively active Notch4 in human dermal microvascular endothelial cells (HMEC-1) inhibits endothelial sprouting. We also show that activated Notch4 inhibits vascular endothelial growth factor (VEGF)-induced angiogenesis in the chick chorioallantoic membrane in vivo. Activated Notch4 does not inhibit HMEC-1 proliferation or migration through fibrinogen. However, migration through collagen is inhibited. Our data show that Notch4 cells exhibit increased beta1-integrin-mediated adhesion to collagen. HMEC-1 expressing activated Notch4 do not have increased surface expression of beta 1-integrins. Rather, we demonstrate that Notch4-expressing cells display beta1-integrin in an active, high-affinity conformation. Furthermore, using function-activating beta 1-integrin antibodies, we demonstrate that activation of beta1-integrins is sufficient to inhibit VEGF-induced endothelial sprouting in vitro and angiogenesis in vivo. Our findings suggest that constitutive Notch4 activation in endothelial cells inhibits angiogenesis in part by promoting beta 1-integrin-mediated adhesion to the underlying matrix.

Allantois↗
PubMed2002

Genetic effects on age-dependent onset and islet cell autoantibody markers in type 1 diabetes.

Age-dependent associations between type 1 diabetes risk genes HLA, INS VNTR, and CTLA-4 and autoantibodies to GAD65 (GADAs), ICA512/IA-2, insulin, and islet cells were determined by logistic regression analysis in 971 incident patients with type 1 diabetes and 702 control subjects aged 0-34 years. GADAs were associated with HLA-DQ2 in young but not in older patients (P = 0.009). Autoantibodies to insulin were negatively associated with age (P < 0.0001) but positively associated with DQ8 (P = 0.03) and with INS VNTR (P = 0.04), supporting possible immune tolerance induction. ICA512/IA-2 were negatively associated with age (P < 0.0001) and with DQ2 (P < 0.0001) but positively associated with DQ8 (P = 0.04). Males were more likely than females to be negative for GADA (P < 0.0001), autoantibodies to islet cells (P = 0.04), and all four autoantibody markers (P = 0.004). The CTLA-4 3' end microsatellite marker was not associated with any of the autoantibodies. We conclude that age and genetic factors such as HLA-DQ and INS VNTR need to be combined with islet autoantibody markers when evaluating the risk for type 1 diabetes development.

Adolescent↗
PubMed2001

Sequence analysis of mouse vomeronasal receptor gene clusters reveals common promoter motifs and a history of recent expansion.

We have analyzed the organization and sequence of 73 V1R genes encoding putative pheromone receptors to identify regulatory features and characterize the evolutionary history of the V1R family. The 73 V1Rs arose from seven ancestral genes around the time of mouse-rat speciation through large local duplications, and this expansion may contribute to speciation events. Orthologous V1R genes appear to have been lost during primate evolution. Exceptional noncoding homology is observed across four V1R subfamilies at one cluster and thus may be important for locus-specific transcriptional regulation.

Amino Acid Motifs↗
PubMed1986

Introduced T cell receptor variable region gene segments recombine in pre-B cells: evidence that B and T cells use a common recombinase.

We have recently proposed that a common recombinase performs all of the many variable region gene assembly events in B and T cells, and that the specificity of these joining events is mediated by regulating the "accessibility" of the involved gene segments. To test this possibility, we have introduced "accessible" T cell receptor (TCR) variable region gene segments into a pre-B cell line capable of recombining endogenous and transfected immunoglobulin (Ig) variable region gene segments. Although the corresponding "inaccessible" endogenous TCR gene segments do not rearrange in this line or in B cells in general, the introduced TCR gene segments join very frequently and, in fact, closely resemble introduced Ig gene segments in their recombination characteristics. These observations suggest a new role for conventional Ig transcriptional enhancers--recombinational enhancement. Our studies provide insight into additional aspects of the joining mechanism such as N region insertion, aberrant joining, and recombination-recognition sequence requirements for joining.

Animals↗
PubMedDate not supplied

Foreword: from the TRANSCRIPTOME conferences to the SYSTEMOSCOPE international consortium.

This thematic issue issue of the Comptes rendus Biologies contains review articles, original papers and conference reports presented at the first two TRANSCRIPTOME conferences From Functional Genomics to Systems Biology and IMAGE Consortium Invitational workshops (Paris, November 2000 and Seattle, March 2002), and discussed during the inaugural meetings of the SYSTEMOSCOPE International Consortium (Paris, June 2003). We describe the founding principles, missions, working plan and policy for partnership and industrial development of SYSTEMOSCOPE to promote the study of the complexity of biological systems by integrating scientific, medical, ethical and economic issues in implementation of interdisciplinary projects for human health.

Biology↗
PubMedDate not supplied

From functional genomics to systems biology: concepts and practices.

Systems biology is the iterative and integrative study of biological systems as systems in response to perturbations. It is founded on hypotheses formalized in models built from the results of global functional genomics analyses of the complexity of the genome, transcriptome, proteome, metabolome, etc. Its implementation by cross-disciplinary teams in a standardized mode under quality assurance should allow accessing the small variations of the large number of elements determining functioning of biological systems. Galactose utilization in yeast, and sea urchin development are two examples of emerging systems biology.

Animals↗
PubMedDate not supplied

NanoSystems biology.

Systems biology is an approach in which the digital information of the genome, acted upon by environmental cues, generates the many molecular signatures of gene and protein expression, as well as other, more phenomenological experimental observations. These data may be integrated together to form a testable hypothesis of how a biological organism functions as a system. The central components of systems biology are genetically programmed networks (circuits) within cells and networks of cells. These components establish the organization and function of individual cells and tissues in response to environmental signals such as cell-to-cell communication within organ systems and whole organisms. Within this context, disease is considered as a genetic or environmental reprogramming of cells to gain or lose specific functions that are characteristics of disease. This paper is a combination of three tutorials with an outlined series of technologies, including microfluidics, nanotechnologies, and molecular imaging methods, and we describe how their development should be driven by the needs of systems biology. We also discuss how these technologies can enable a systems biology approach through a pathway from single cells to mouse models of disease and finally to patients. Within this technology base are approaches to develop, use and test molecules as probes that target proteins, DNA and mRNA to test systems biology models, as well as provide molecular diagnostics and molecular therapeutics within a systems biology framework.

Animals↗
PubMedDate not supplied

Systems biology, proteomics, and the future of health care: toward predictive, preventative, and personalized medicine.

The emergence of systems biology is bringing forth a new set of challenges for advancing science and technology. Defining ways of studying biological systems on a global level, integrating large and disparate data types, and dealing with the infrastructural changes necessary to carry out systems biology, are just a few of the extraordinary tasks of this growing discipline. Despite these challenges, the impact of systems biology will be far-reaching, and significant progress has already been made. Moving forward, the issue of how to use systems biology to improve the health of individuals must be a priority. It is becoming increasingly apparent that the field of systems biology and one of its important disciplines, proteomics, will have a major role in creating a predictive, preventative, and personalized approach to medicine. In this review, we define systems biology, discuss the current capabilities of proteomics and highlight some of the necessary milestones for moving systems biology and proteomics into mainstream health care.

Animals↗