Databases and QSAR for Cancer Research

In this review, we take a survey of bioinformatics databases and quantitative structure-activity relationship studies reported in published literature. Databases from the most general to special cancer-related ones have been included. Most commonly used methods of structure-based analysis of molecules have been reviewed, along with some case studies where they have been used in cancer research. This article is expected to be of use for general bioinformatics researchers interested in cancer and will also provide an update to those who have been actively pursuing this field of research

General resources in Genetics and/or Oncology

Review on General resources in Genetics and/or Oncolog

General resources in Genetics and/or Oncology

Review on General resources in Genetics and/or Oncolog

Leukemia Gene Atlas – A Public Platform for Integrative Exploration of Genome-Wide Molecular Data

Leukemias are exceptionally well studied at the molecular level and a wealth of high-throughput data has been published. But further utilization of these data by researchers is severely hampered by the lack of accessible integrative tools for viewing and analysis. We developed the Leukemia Gene Atlas (LGA) as a public platform designed to support research and analysis of diverse genomic data published in the field of leukemia. With respect to leukemia research, the LGA is a unique resource with comprehensive search and browse functions. It provides extensive analysis and visualization tools for various types of molecular data. Currently, its database contains data from more than 5,800 leukemia and hematopoiesis samples generated by microarray gene expression, DNA methylation, SNP and next generation sequencing analyses. The LGA allows easy retrieval of large published data sets and thus helps to avoid redundant investigations. It is accessible at www.leukemia-gene-atlas.org

Fish Karyome: A karyological information network database of Indian Fishes

‘Fish Karyome’, a database on karyological information of Indian fishes have been developed that serves as central source for karyotype data about Indian fishes compiled from the published literature. Fish Karyome has been intended to serve as a liaison tool for the researchers and contains karyological information about 171 out of 2438 finfish species reported in India and is publically available via World Wide Web. The database provides information on chromosome number, morphology, sex chromosomes, karyotype formula and cytogenetic markers etc. Additionally, it also provides the phenotypic information that includes species name, its classification, and locality of sample collection, common name, local name, sex, geographical distribution, and IUCN Red list status. Besides, fish and karyotype images, references for 171 finfish species have been included in the database. Fish Karyome has been developed using SQL Server 2008, a relational database management system, Microsoft's ASP.NET-2008 and Macromedia's FLASH Technology under Windows 7 operating environment. The system also enables users to input new information and images into the database, search and view the information and images of interest using various search options. Fish Karyome has wide range of applications in species characterization and identification, sex determination, chromosomal mapping, karyo-evolution and systematics of fishes

HNRNPK (heterogeneous nuclear ribonucleoprotein K)

Review on HNRNPK (heterogeneous nuclear ribonucleoprotein K), with data on DNA, on the protein encoded, and where the gene is implicated

dbCRID: a database of chromosomal rearrangements in human diseases

Chromosomal rearrangement (CR) events result from abnormal breaking and rejoining of the DNA molecules, or from crossing-over between repetitive DNA sequences, and they are involved in many tumor and non-tumor diseases. Investigations of disease-associated CR events can not only lead to important discoveries about DNA breakage and repair mechanisms, but also offer important clues about the pathologic causes and the diagnostic/therapeutic targets of these diseases. We have developed a database of Chromosomal Rearrangements In Diseases (dbCRID, http://dbCRID.biolead.org), a comprehensive database of human CR events and their associated diseases. For each reported CR event, dbCRID documents the type of the event, the disease or symptoms associated, and—when possible—detailed information about the CR event including precise breakpoint positions, junction sequences, genes and gene regions disrupted and experimental techniques applied to discover/analyze the CR event. With 2643 records of disease-associated CR events curated from 1172 original studies, dbCRID is a comprehensive and dynamic resource useful for studying DNA breakage and repair mechanisms, and for analyzing the genetic basis of human tumor and non-tumor diseases

HTATIP2 (HIV-1 Tat interactive protein 2, 30kDa)

Review on HTATIP2 (HIV-1 Tat interactive protein 2, 30kDa), with data on DNA, on the protein encoded, and where the gene is implicated

DAC-driven Integrative Network Regulation and Pathway Coordination in Breast Cancer

Epigenetic variation represents a mechanism of regulation for genes expressed in different cancer histotypes. We considered breast cancer, and investigated differential expression following treatment with the 5-Aza-2\u27-deoxycytidine or DAC, a demethylating agent. Several oncogenic signalling pathways altered upon DAC treatment were detected with significant enrichment, and a regulatory map integrating Transcription Factors and microRNAs was derived. The ultimate goal is deciphering the potential molecular mechanisms induced by DAC therapy in MCF7 cell

ARID1A (AT rich interactive domain 1A (SWI-like))

Review on ARID1A, with data on DNA/RNA, on the protein encoded and where the gene is implicated