1
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Sultan G, Zubair S. BRCAFem: A database for breast cancer research. Bioinformation 2024; 20:473-477. [PMID: 39132249 PMCID: PMC11309110 DOI: 10.6026/973206300200473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2024] [Revised: 05/31/2024] [Accepted: 05/31/2024] [Indexed: 08/13/2024] Open
Abstract
Amid extensive breast cancer research, valuable data and findings often remain scattered across published literature, databases and web resources, posing challenges for researchers and practitioners in curating specific datasets, genes and relevant information. Hence, we developed BRCAFem (BReast CAncer of Females), an integrated database for breast cancer research. BRCAFem includes 1220 breast cancer genes, 82 FDA-approved breast cancer prevention and treatment drugs and 33 sequencing and imaging datasets. Additionally, BRCAFem provides general information about breast cancer, global statistics, risk factors, treatment options and blogs related to recent updates in breast cancer research.
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Affiliation(s)
- Ghazala Sultan
- Department of Computer Science, Faculty of Science, Aligarh Muslim University, Aligarh-202002, India
| | - Swaleha Zubair
- Department of Computer Science, Faculty of Science, Aligarh Muslim University, Aligarh-202002, India
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2
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A critical review of datasets and computational suites for improving cancer theranostics and biomarker discovery. MEDICAL ONCOLOGY (NORTHWOOD, LONDON, ENGLAND) 2022; 39:206. [PMID: 36175717 DOI: 10.1007/s12032-022-01815-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 07/29/2022] [Indexed: 10/14/2022]
Abstract
Cancer has been constantly evolving and so is the research pertaining to cancer diagnosis and therapeutic regimens. Early detection and specific therapeutics are the key features of modern cancer therapy. These requirements can only be fulfilled with the integration of diverse high-throughput technologies. Integration of advanced omics methodology involving genomics, epigenomics, proteomics, and transcriptomics provide a clear understanding of multi-faceted cancer. In the past few years, tremendous high-throughput data have been generated from cancer genomics and epigenomic analyses, which on further methodological analyses can yield better biological insights. The major epigenetic alterations reported in cancer are DNA methylation levels, histone post-translational modifications, and epi-miRNA regulating the oncogenes and tumor suppressor genes. While the genomic analyses like gene expression profiling, cancer gene prediction, and genome annotation divulge the genetic alterations in oncogenes or tumor suppressor genes. Also, systems biology approach using biological networks is being extensively used to identify novel cancer biomarkers. Therefore, integration of these multi-dimensional approaches will help to identify potential diagnostic and therapeutic biomarkers. Here, we reviewed the critical databases and tools dedicated to various epigenomic and genomic alterations in cancer. The review further focuses on the multi-omics resources available for further validating the identified cancer biomarkers. We also highlighted the tools for cancer biomarker discovery using a systems biology approach utilizing genomic and epigenomic data. Biomarkers predicted using such integrative approaches are shown to be more clinically relevant.
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3
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Rajalakshmi M, Suveena S, Vijayalakshmia P, Indu S, Roy A, Ludas A. DaiCee: A database for anti-cancer compounds with targets and side effect profiles. Bioinformation 2020; 16:843-848. [PMID: 34803258 PMCID: PMC8573451 DOI: 10.6026/97320630016843] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2020] [Revised: 09/28/2020] [Accepted: 09/28/2020] [Indexed: 12/16/2022] Open
Abstract
Identification of the toxicity of compounds is more crucial before entering clinical trials. Awareness of physiochemical properties, possible targets and side effects has become a major public health issue to reduce risks. Experimental determination of analyzing the physiochemical properties of a drug, their interaction with specific receptors and identifying their side-effects remain challenging is time consuming and costly. We describe a manually compiled database named DaiCee database, which contains 2100 anticancer drugs with information on their physiochemical properties, targets of action and side effects. It includes both synthetic and herbal anti-cancer compounds. It allows the search for SMILES notation, Lipinski's and ADME/T properties, targets and side effect profiles of the drugs. This helps to identify drugs with effective anticancer properties, their toxic nature, drug-likeness for in-vitro and in-vivo experiments. It also used for comparative analysis and screening of effective anticancer drugs using available data for compounds in the database. The database will be updated regularly to provide the users with latest information. The database is available at the URL http://www.hccbif.org/usersearch.php.
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Affiliation(s)
- Manikkam Rajalakshmi
- DBT-BIF Centre, PG & Research Department of Biotechnology & Bioinformatics, Holy Cross College (Autonomous) (Affiliated to Bharathidasan University), Trichy, Tamilnadu, India
| | - Sugumaran Suveena
- DBT-BIF Centre, PG & Research Department of Biotechnology & Bioinformatics, Holy Cross College (Autonomous) (Affiliated to Bharathidasan University), Trichy, Tamilnadu, India
| | - Periyasamy Vijayalakshmia
- DBT-BIF Centre, PG & Research Department of Biotechnology & Bioinformatics, Holy Cross College (Autonomous) (Affiliated to Bharathidasan University), Trichy, Tamilnadu, India
| | - Sabapathy Indu
- DBT-BIF Centre, PG & Research Department of Biotechnology & Bioinformatics, Holy Cross College (Autonomous) (Affiliated to Bharathidasan University), Trichy, Tamilnadu, India
| | - Anita Roy
- DBT-BIF Centre, PG & Research Department of Biotechnology & Bioinformatics, Holy Cross College (Autonomous) (Affiliated to Bharathidasan University), Trichy, Tamilnadu, India
| | - Antony Ludas
- DBT-BIF Centre, PG & Research Department of Biotechnology & Bioinformatics, Holy Cross College (Autonomous) (Affiliated to Bharathidasan University), Trichy, Tamilnadu, India
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4
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Zhang Y, Wang P, Li X, Ning S, Li X, Cao Y, Chen SX. GABC: A comprehensive resource and Genome Atlas for Breast Cancer. Int J Cancer 2020; 148:988-994. [PMID: 33064305 DOI: 10.1002/ijc.33347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2020] [Revised: 09/07/2020] [Accepted: 09/14/2020] [Indexed: 11/09/2022]
Abstract
We developed the Genome Atlas of Breast Cancer (GABC), a global map of noncoding events in the human genome associated with breast cancer that provides a valuable reference resource for users to investigate the underlying genome abnormalities in breast cancer patients. Although significant progress has been made in breast cancer treatment, its morbidity and recurrence rates in women are still high worldwide. Curation and integration of breast cancer-related dysregulations from multiple aspects is essential for disease prevention and diagnosis. In this study, we developed the GABC, which contains 10 172 aberrant noncoding events occurring at multiomics levels, including the genome (single nucleotide polymorphism and somatic mutation), transcriptome (long noncoding RNA and microRNA) and epigenome (DNA methylation, enhancer and superenhancer). Each event entry provides descriptions of detailed biological mechanisms specific to the region or element. Users can also check the genome locations and relationships of functional regulators. The GABC provides a flexible and user-friendly interface for users to search, browse and download data. In addition, the GABC provides an interface to submit newly discovered noncoding events that can be included in the database. Therefore, the GABC aims to constantly enhance our understanding of noncoding genomic events in breast cancer.
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Affiliation(s)
- Yunpeng Zhang
- Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, Florida, USA.,Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida, USA.,College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Peng Wang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Xin Li
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Shangwei Ning
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Xia Li
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Yan Cao
- Department of Urology, Harbin Medical University Cancer Hospital, Harbin, China
| | - Steven Xi Chen
- Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, Florida, USA.,Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, Florida, USA
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5
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Sultan G, Zubair S, Tayubi IA, Dahms HU, Madar IH. Towards the early detection of ductal carcinoma (a common type of breast cancer) using biomarkers linked to the PPAR(γ) signaling pathway. Bioinformation 2019; 15:799-805. [PMID: 31902979 PMCID: PMC6936658 DOI: 10.6026/97320630015799] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2019] [Revised: 11/28/2019] [Accepted: 12/07/2019] [Indexed: 02/08/2023] Open
Abstract
Breast cancer is a leading cause of morbidity and mortality among women comprising about 12% females worldwide. The underlying alteration in the gene expression, molecular mechanism and metabolic pathways responsible for incidence and progression of breast tumorigenesis are yet not completely understood. In the present study, potential biomarker genes involved in the early progression for early diagnosis of breast cancer has been detailed. Regulation and Gene profiling of Ductal Carcinoma In-situ (DCIS), Invasive Ductal Carcinoma (IDC) and healthy samples have been analyzed to follow their expression pattern employing normalization, statistical calculation, DEGs annotation and Protein-Protein Interaction (PPI) network. We have performed a comparative study on differentially expressed genes among Healthy vs DCIS, Healthy vsIDC and DCIS vs IDC. We found MCM102 and SLC12A8as consistently over-expressed and LEP, SORBS1, SFRP1, PLIN1, FABP4, RBP4, CD300LG, ID4, CRYAB, ECRG4, G0S2, FMO2, ADAMTS5, CAV1, CAV2, ABCA8, MAMDC2, IGFBP6, CLDN11, TGFBR3as under-expressed genes in all the 3 conditions categorized for pre-invasive and invasive ductal breast carcinoma. These genes were further studied for the active pathways where PPAR(γ) signaling pathway was found to be significantly involved. The gene expression profile database can be a potential tool in the early diagnosis of breast cancer.
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Affiliation(s)
- Ghazala Sultan
- Department of Computer Science, Aligarh Muslim University, Aligarh, Uttar Pradesh 202001, India
| | - Swaleha Zubair
- Department of Computer Science, Aligarh Muslim University, Aligarh, Uttar Pradesh 202001, India
| | - Iftikhar Aslam Tayubi
- Faculty of Computing and Information Technology, Rabigh, King Abdulaziz University, Jeddah 21911, Saudi Arabia
| | - Hans-Uwe Dahms
- Department of Computer Science, Aligarh Muslim University, Aligarh, Uttar Pradesh 202001, India
| | - Inamul Hasan Madar
- Department of Biomedical Science and Environmental Biology, KMU-Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Biotechnology, School of Biotechnology and Genetic Engineering, Bharathidasan University, Tiruchirappalli, 620024, Tamil Nadu, India
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6
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Tungekar A, Mandarthi S, Mandaviya PR, Gadekar VP, Tantry A, Kotian S, Reddy J, Prabha D, Bhat S, Sahay S, Mascarenhas R, Badkillaya RR, Nagasampige MK, Yelnadu M, Pawar H, Hebbar P, Kashyap MK. ESCC ATLAS: A population wide compendium of biomarkers for Esophageal Squamous Cell Carcinoma. Sci Rep 2018. [PMID: 30143675 DOI: 10.1038/s41598-018-30579-3,] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
Esophageal cancer (EC) is the eighth most aggressive malignancy and its treatment remains a challenge due to the lack of biomarkers that can facilitate early detection. EC is identified in two major histological forms namely - Adenocarcinoma (EAC) and Squamous cell carcinoma (ESCC), each showing differences in the incidence among populations that are geographically separated. Hence the detection of potential drug target and biomarkers demands a population-centric understanding of the molecular and cellular mechanisms of EC. To provide an adequate impetus to the biomarker discovery for ESCC, which is the most prevalent esophageal cancer worldwide, here we have developed ESCC ATLAS, a manually curated database that integrates genetic, epigenetic, transcriptomic, and proteomic ESCC-related genes from the published literature. It consists of 3475 genes associated to molecular signatures such as, altered transcription (2600), altered translation (560), contain copy number variation/structural variations (233), SNPs (102), altered DNA methylation (82), Histone modifications (16) and miRNA based regulation (261). We provide a user-friendly web interface ( http://www.esccatlas.org , freely accessible for academic, non-profit users) that facilitates the exploration and the analysis of genes among different populations. We anticipate it to be a valuable resource for the population specific investigation and biomarker discovery for ESCC.
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Affiliation(s)
- Asna Tungekar
- Mbiomics, Manipal, Karnataka, India.,Manipal Life Sciences Center, Manipal University, Manipal, Karnataka, India
| | - Sumana Mandarthi
- Mbiomics, Manipal, Karnataka, India.,Department of Biochemistry, Kasturba Medical College, Manipal University, Manipal, Karnataka, India
| | - Pooja Rajendra Mandaviya
- Mbiomics, Manipal, Karnataka, India.,Manipal Life Sciences Center, Manipal University, Manipal, Karnataka, India
| | - Veerendra P Gadekar
- Mbiomics, Manipal, Karnataka, India.,Manipal Life Sciences Center, Manipal University, Manipal, Karnataka, India.,Institute for Theoretical Chemistry, University of Vienna, Währingerstrasse 17, 1090, Vienna, Austria
| | - Ananthajith Tantry
- Mbiomics, Manipal, Karnataka, India.,Manipal Center for Information Sciences, Manipal University, Manipal, Karnataka, India
| | - Sowmya Kotian
- Mbiomics, Manipal, Karnataka, India.,Manipal Life Sciences Center, Manipal University, Manipal, Karnataka, India
| | - Jyotshna Reddy
- Mbiomics, Manipal, Karnataka, India.,Manipal Life Sciences Center, Manipal University, Manipal, Karnataka, India
| | | | - Sushma Bhat
- Mbiomics, Manipal, Karnataka, India.,Manipal Life Sciences Center, Manipal University, Manipal, Karnataka, India
| | | | - Roshan Mascarenhas
- Mbiomics, Manipal, Karnataka, India.,Manipal Life Sciences Center, Manipal University, Manipal, Karnataka, India.,Newcastle University Medicine Malaysia, Johor Bahru, 79200, Malaysia
| | - Raghavendra Rao Badkillaya
- Mbiomics, Manipal, Karnataka, India.,Department of Biotechnology, Alva's college, Moodubidre, Karnataka, India
| | - Manoj Kumar Nagasampige
- Mbiomics, Manipal, Karnataka, India.,Department of Biotechnology, Sikkim Manipal University, Gangtok, Sikkim, 737102, India
| | - Mohan Yelnadu
- Mbiomics, Manipal, Karnataka, India.,Manipal Center for Information Sciences, Manipal University, Manipal, Karnataka, India.,Infosys Technologies Ltd, Bangalore, Karnataka, India.,Faculty of Biology, Technion-Israel Institute of Technology, Haifa, 3200003, Israel
| | - Harsh Pawar
- Faculty of Biology, Technion-Israel Institute of Technology, Haifa, 3200003, Israel
| | - Prashantha Hebbar
- Mbiomics, Manipal, Karnataka, India. .,Manipal Life Sciences Center, Manipal University, Manipal, Karnataka, India.
| | - Manoj Kumar Kashyap
- Mbiomics, Manipal, Karnataka, India. .,Faculty of Applied Sciences and Biotechnology, Shoolini University of Biotechnology and Management Sciences, Bajhol, Solan, Himachal Pradesh 173229, India. .,School of Life and Allied Health Sciences, Glocal University, Saharanpur, Uttar Pradesh, 247001, India. .,Institute for Theoretical Chemistry, University of Vienna, Währingerstrasse 17, 1090, Vienna, Austria.
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7
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Tungekar A, Mandarthi S, Mandaviya PR, Gadekar VP, Tantry A, Kotian S, Reddy J, Prabha D, Bhat S, Sahay S, Mascarenhas R, Badkillaya RR, Nagasampige MK, Yelnadu M, Pawar H, Hebbar P, Kashyap MK. ESCC ATLAS: A population wide compendium of biomarkers for Esophageal Squamous Cell Carcinoma. Sci Rep 2018; 8:12715. [PMID: 30143675 PMCID: PMC6109081 DOI: 10.1038/s41598-018-30579-3] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2017] [Accepted: 08/01/2018] [Indexed: 02/07/2023] Open
Abstract
Esophageal cancer (EC) is the eighth most aggressive malignancy and its treatment remains a challenge due to the lack of biomarkers that can facilitate early detection. EC is identified in two major histological forms namely - Adenocarcinoma (EAC) and Squamous cell carcinoma (ESCC), each showing differences in the incidence among populations that are geographically separated. Hence the detection of potential drug target and biomarkers demands a population-centric understanding of the molecular and cellular mechanisms of EC. To provide an adequate impetus to the biomarker discovery for ESCC, which is the most prevalent esophageal cancer worldwide, here we have developed ESCC ATLAS, a manually curated database that integrates genetic, epigenetic, transcriptomic, and proteomic ESCC-related genes from the published literature. It consists of 3475 genes associated to molecular signatures such as, altered transcription (2600), altered translation (560), contain copy number variation/structural variations (233), SNPs (102), altered DNA methylation (82), Histone modifications (16) and miRNA based regulation (261). We provide a user-friendly web interface ( http://www.esccatlas.org , freely accessible for academic, non-profit users) that facilitates the exploration and the analysis of genes among different populations. We anticipate it to be a valuable resource for the population specific investigation and biomarker discovery for ESCC.
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Affiliation(s)
- Asna Tungekar
- Mbiomics, Manipal, Karnataka, India
- Manipal Life Sciences Center, Manipal University, Manipal, Karnataka, India
| | - Sumana Mandarthi
- Mbiomics, Manipal, Karnataka, India
- Department of Biochemistry, Kasturba Medical College, Manipal University, Manipal, Karnataka, India
| | - Pooja Rajendra Mandaviya
- Mbiomics, Manipal, Karnataka, India
- Manipal Life Sciences Center, Manipal University, Manipal, Karnataka, India
| | - Veerendra P Gadekar
- Mbiomics, Manipal, Karnataka, India
- Manipal Life Sciences Center, Manipal University, Manipal, Karnataka, India
- Institute for Theoretical Chemistry, University of Vienna, Währingerstrasse 17, 1090, Vienna, Austria
| | - Ananthajith Tantry
- Mbiomics, Manipal, Karnataka, India
- Manipal Center for Information Sciences, Manipal University, Manipal, Karnataka, India
| | - Sowmya Kotian
- Mbiomics, Manipal, Karnataka, India
- Manipal Life Sciences Center, Manipal University, Manipal, Karnataka, India
| | - Jyotshna Reddy
- Mbiomics, Manipal, Karnataka, India
- Manipal Life Sciences Center, Manipal University, Manipal, Karnataka, India
| | | | - Sushma Bhat
- Mbiomics, Manipal, Karnataka, India
- Manipal Life Sciences Center, Manipal University, Manipal, Karnataka, India
| | | | - Roshan Mascarenhas
- Mbiomics, Manipal, Karnataka, India
- Manipal Life Sciences Center, Manipal University, Manipal, Karnataka, India
- Newcastle University Medicine Malaysia, Johor Bahru, 79200, Malaysia
| | - Raghavendra Rao Badkillaya
- Mbiomics, Manipal, Karnataka, India
- Department of Biotechnology, Alva's college, Moodubidre, Karnataka, India
| | - Manoj Kumar Nagasampige
- Mbiomics, Manipal, Karnataka, India
- Department of Biotechnology, Sikkim Manipal University, Gangtok, Sikkim, 737102, India
| | - Mohan Yelnadu
- Mbiomics, Manipal, Karnataka, India
- Manipal Center for Information Sciences, Manipal University, Manipal, Karnataka, India
- Infosys Technologies Ltd, Bangalore, Karnataka, India
- Faculty of Biology, Technion-Israel Institute of Technology, Haifa, 3200003, Israel
| | - Harsh Pawar
- Faculty of Biology, Technion-Israel Institute of Technology, Haifa, 3200003, Israel
| | - Prashantha Hebbar
- Mbiomics, Manipal, Karnataka, India.
- Manipal Life Sciences Center, Manipal University, Manipal, Karnataka, India.
| | - Manoj Kumar Kashyap
- Mbiomics, Manipal, Karnataka, India.
- Faculty of Applied Sciences and Biotechnology, Shoolini University of Biotechnology and Management Sciences, Bajhol, Solan, Himachal Pradesh 173229, India.
- School of Life and Allied Health Sciences, Glocal University, Saharanpur, Uttar Pradesh, 247001, India.
- Institute for Theoretical Chemistry, University of Vienna, Währingerstrasse 17, 1090, Vienna, Austria.
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8
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Xie B, Yuan Z, Yang Y, Sun Z, Zhou S, Fang X. MOBCdb: a comprehensive database integrating multi-omics data on breast cancer for precision medicine. Breast Cancer Res Treat 2018; 169:625-632. [PMID: 29429018 DOI: 10.1007/s10549-018-4708-z] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2017] [Accepted: 02/03/2018] [Indexed: 12/23/2022]
Abstract
BACKGROUND Breast cancer is one of the most frequently diagnosed cancers among women worldwide, characterized by diverse biological heterogeneity. It is well known that complex and combined gene regulation of multi-omics is involved in the occurrence and development of breast cancer. RESULTS In this paper, we present the Multi-Omics Breast Cancer Database (MOBCdb), a simple and easily accessible repository that integrates genomic, transcriptomic, epigenomic, clinical, and drug response data of different subtypes of breast cancer. MOBCdb allows users to retrieve simple nucleotide variation (SNV), gene expression, microRNA expression, DNA methylation, and specific drug response data by various search fashions. The genome-wide browser /navigation facility in MOBCdb provides an interface for visualizing multi-omics data of multi-samples simultaneously. Furthermore, the survival module provides survival analysis for all or some of the samples by using data of three omics. The approved public drugs with genetic variations on breast cancer are also included in MOBCdb. CONCLUSION In summary, MOBCdb provides users a unique web interface to the integrated multi-omics data of different subtypes of breast cancer, which enables the users to identify potential novel biomarkers for precision medicine.
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Affiliation(s)
- Bingbing Xie
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Zifeng Yuan
- Shanghai Key Lab of Intelligent Information Processing and School of Computer Science, Fudan University, Shanghai, 200433, China
| | - Yadong Yang
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Zhidan Sun
- Shanghai Key Lab of Intelligent Information Processing and School of Computer Science, Fudan University, Shanghai, 200433, China
| | - Shuigeng Zhou
- Shanghai Key Lab of Intelligent Information Processing and School of Computer Science, Fudan University, Shanghai, 200433, China.
| | - Xiangdong Fang
- CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
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Mudunuri SB, Patnana S, Nagarajaram HA. MICdb3.0: a comprehensive resource of microsatellite repeats from prokaryotic genomes. DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION 2014; 2014:bau005. [PMID: 24536078 PMCID: PMC3926409 DOI: 10.1093/database/bau005] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
The MICdb is a comprehensive relational database of perfect microsatellites extracted from completely sequenced and annotated genomes of bacteria and archaea. The current version MICdb3.0 is an updated and revised version of MICdb2.0. As compared with the previous version MICdb2.0, the current release is significantly improved in terms of much larger coverage of genomes, improved presentation of queried results, user-friendly administration module to manage Simple Sequence Repeat (SSR) data such as addition of new genomes, deletion of obsolete data, etc., and also removal of certain features deemed to be redundant. The new web-interface to the database called Microsatellite Analysis Server (MICAS) version 3.0 has been improved by the addition of powerful high-quality visualization tools to view the query results in the form of pie charts and bar graphs. All the query results and graphs can be exported in different formats so that the users can use them for further analysis. MICAS3.0 is also equipped with a unique genome comparison module using which users can do pair-wise comparison of genomes with regard to their microsatellite distribution. The advanced search module can be used to filter the repeats based on certain criteria such as filtering repeats of a particular motif/repeat size, extracting repeats of coding/non-coding regions, sort repeats, etc. The MICdb database has, therefore, been made portable to be administered by a person with the necessary administrative privileges. The MICdb3.0 database and analysis server can be accessed for free from www.cdfd.org.in/micas. Database URL:http://www.cdfd.org.in/micas
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Affiliation(s)
- Suresh B Mudunuri
- Department of Computer Science & Engineering, Grandhi Varalakshmi Venkatarao Institute of Technology, Bhimavaram, Andhra Pradesh 534 207, India, Training & Delivery Department, TalentSprint Educational Services, IIIT Campus, Hyderabad, Andhra Pradesh 500 032, India and Laboratory of Computational Biology, Centre for DNA Fingerprinting & Diagnostics, Hyderabad, Andhra Pradesh 500 001, India
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