Robert Lucito

Bio: Robert Lucito is an academic researcher from Hofstra University. The author has contributed to research in topics: Copy-number variation & Comparative genomic hybridization. The author has an hindex of 29, co-authored 63 publications receiving 8727 citations. Previous affiliations of Robert Lucito include New York University & Cold Spring Harbor Laboratory.

Large-Scale Copy Number Polymorphism in the Human Genome

Abstract: The extent to which large duplications and deletions contribute to human genetic variation and diversity is unknown. Here, we show that large-scale copy number polymorphisms (CNPs) (about 100 kilobases and greater) contribute substantially to genomic variation between normal humans. Representational oligonucleotide microarray analysis of 20 individuals revealed a total of 221 copy number differences representing 76 unique CNPs. On average, individuals differed by 11 CNPs, and the average length of a CNP interval was 465 kilobases. We observed copy number variation of 70 different genes within CNP intervals, including genes involved in neurological function, regulation of cell growth, regulation of metabolism, and several genes known to be associated with disease.

Circular binary segmentation for the analysis of array-based DNA copy number data.

Abstract: DNA sequence copy number is the number of copies of DNA at a region of a genome. Cancer progression often involves alterations in DNA copy number. Newly developed microarray technologies enable simultaneous measurement of copy number at thousands of sites in a genome. We have developed a modification of binary segmentation, which we call circular binary segmentation, to translate noisy intensity measurements into regions of equal copy number. The method is evaluated by simulation and is demonstrated on cell line data with known copy number alterations and on a breast cancer cell line data set.

Representational Oligonucleotide Microarray Analysis: A High-Resolution Method to Detect Genome Copy Number Variation

Abstract: We have developed a methodology we call ROMA (representational oligonucleotide microarray analysis), for the detection of the genomic aberrations in cancer and normal humans. By arraying oligonucleotide probes designed from the human genome sequence, and hybridizing with “representations” from cancer and normal cells, we detect regions of the genome with altered “copy number.” We achieve an average resolution of 30 kb throughout the genome, and resolutions as high as a probe every 15 kb are practical. We illustrate the characteristics of probes on the array and accuracy of measurements obtained using ROMA. Using this methodology, we identify variation between cancer and normal genomes, as well as between normal human genomes. In cancer genomes, we readily detect amplifications and large and small homozygous and hemizygous deletions. Between normal human genomes, we frequently detect large (100 kb to 1 Mb) deletions or duplications. Many of these changes encompass known genes. ROMA will assist in the discovery of genes and markers important in cancer, and the discovery of loci that may be important in inherited predispositions to disease.

The hepatitis B virus HBx protein is a dual specificity cytoplasmic activator of Ras and nuclear activator of transcription factors.

Abstract: The HBx protein of hepatitis B virus (HBV) is a transcriptional activator that is required for infection and may play an important role in HBV-associated hepatocarcinogenesis. Recently, we and others have shown that HBx stimulates the Ras-Raf-MAP kinase cascade, which leads to enhanced cell proliferation and the activation of transcription factors AP-1 and NF-kappa B. Other studies have shown that HBx can activate transcription by interacting directly with nuclear components of the transcription machinery. Therefore we examined the basis for the different reported activities of HBx. Here, we show that HBx is a complex protein, displaying independent activities in different intracellular locations. The intracellular distribution of HBx protein was first investigated using scanning confocal laser immunomicroscopy and by genetic studies. Our work has established that HBx expressed in cultured cells is found authentically in both the cytoplasm and the nucleus. HBx is not strongly associated with any intracellular structures, but some preferential accumulation was observed near the cell surface. Next, HBx variants were constructed containing a functional or mutant nuclear localization sequence. We show that when HBx is engineered to relocate exclusively to the nucleus, it no longer activates the Ras-Raf-MAP kinase cascade, nor does it activate transcription factors AP-1 and NF-kappa B. Surprisingly, nuclear HBx fully retains the ability to stimulate HBV enhancer I, which is activated independently of the Ras and protein kinase C pathways. Therefore HBx protein stimulates signal transduction pathways in the cytoplasm and transactivates transcription elements in the nucleus. Furthermore, SV40 T antigen is shown to induce the nuclear sequestration of HBx protein and to block its activation of NF-kappa B, demonstrating that HBx is regulated by proteins that alter its intracellular distribution. The conflicting functions of HBx protein in viral infection and possibly carcinoma may involve the regulation of its differential distribution in the cell.

Sequencing technologies-the next generation

Abstract: Demand has never been greater for revolutionary technologies that deliver fast, inexpensive and accurate genome information. This challenge has catalysed the development of next-generation sequencing (NGS) technologies. The inexpensive production of large volumes of sequence data is the primary advantage over conventional methods. Here, I present a technical review of template preparation, sequencing and imaging, genome alignment and assembly approaches, and recent advances in current and near-term commercially available NGS instruments. I also outline the broad range of applications for NGS technologies, in addition to providing guidelines for platform selection to address biological questions of interest.

A haplotype map of the human genome

Abstract: Inherited genetic variation has a critical but as yet largely uncharacterized role in human disease. Here we report a public database of common variation in the human genome: more than one million single nucleotide polymorphisms (SNPs) for which accurate and complete genotypes have been obtained in 269 DNA samples from four populations, including ten 500-kilobase regions in which essentially all information about common DNA variation has been extracted. These data document the generality of recombination hotspots, a block-like structure of linkage disequilibrium and low haplotype diversity, leading to substantial correlations of SNPs with many of their neighbours. We show how the HapMap resource can guide the design and analysis of genetic association studies, shed light on structural variation and recombination, and identify loci that may have been subject to natural selection during human evolution.

Comprehensive molecular characterization of gastric adenocarcinoma

Abstract: Gastric cancer was the world’s third leading cause of cancer mortality in 2012, responsible for 723,000 deaths1. The vast majority of gastric cancers are adenocarcinomas, which can be further subdivided into intestinal and diffuse types according to the Lauren classification2. An alternative system, proposed by the World Health Organization, divides gastric cancer into papillary, tubular, mucinous (colloid) and poorly cohesive carcinomas3. These classification systems have little clinical utility, making the development of robust classifiers that can guide patient therapy an urgent priority. The majority of gastric cancers are associated with infectious agents, including the bacterium Helicobacter pylori4 and Epstein–Barr virus (EBV). The distribution of histological subtypes of gastric cancer and the frequencies of H. pylori and EBV associated gastric cancer vary across the globe5. A small minority of gastric cancer cases are associated with germline mutation in E-cadherin (CDH1)6 or mismatch repair genes7 (Lynch syndrome), whereas sporadic mismatch repair-deficient gastric cancers have epigenetic silencing of MLH1 in the context of a CpG island methylator phenotype (CIMP)8. Molecular profiling of gastric cancer has been performed using gene expression or DNA sequencing9–12, but has not led to a clear biologic classification scheme. The goals of this study by The Cancer Genome Atlas (TCGA) were to develop a robust molecular classification of gastric cancer and to identify dysregulated pathways and candidate drivers of distinct classes of gastric cancer.