Autophagy database

Last updated
Autophagy Databases
Content
DescriptionDatabases to categorize autophagy-related genes and proteins
Contact
Research center Center for Information Biology; DNA Data Bank of Japan, Luxembourg Institute of Health
Primary citationHomma et al.,, [1] Luxembourg Institute of Health [2]
Release date2010
Access
Website www.tanpaku.org/autophagy/
Tools
Web autophagy.lu/index.html

Autophagy database(s) aim to provide a comprehensive list of autophagy-related genes and proteins, whether they are identified as orthologs or homologs of other, potentially related, proteins. Many kinds of information, including sequences, functions, and 3D structures, can be stored, thus making them accessible in a searchable format. Information available in a single source, using a searchable format, would simplify work for future researchers. These sources would then help to accomplish this aim by providing recently published references on autophagy alongside categories such as user ratings, a list of informative reviews, and results of an original analysis. As autophagy can play a role in a host of human diseases, such as those of the heart, liver, and kidney, further understanding its mechanisms is essential. Simplifying the research process with some database would then provide a scientific boon. [2]

Contents

Autophagy

Autophagy, the process by which cells degrade their own components, is carried out by packaging of components with a lysosome. Degraded components can then be used in other cellular processes. Autophagic process for autophagy database.png
Autophagy, the process by which cells degrade their own components, is carried out by packaging of components with a lysosome. Degraded components can then be used in other cellular processes.

[For a complete background, please refer to Autophagy].

Autophagy is the process by which the cells in an organism destroy non-functional or unnecessary self-components. [3] Specifically, autophagy is a catabolic process involving the degradation of a cell's own components through the lysosomal machinery. [1] Autophagy is also crucial for instances of starvation and removal of potentially dangerous cellular materials, indicating its necessity in maintaining life. [1] As seen in the associated figure Autophagy, cellular products are degraded by destructive cellular components, such as lysosomes, to produce new materials for the cell to use. Research into autophagy and its related processes has exploded over recent years, however, many of these processes are not completely understood and homologs have not been found in different species for many of these proteins. [1] Its molecular mechanisms have not been fully elucidated, despite dramatic advances in the field as evidenced by hundreds of autophagy-related genes and proteins reported. [1] As such, there was a demonstrated need for a database to characterize human autophagy proteins and components and/or their homologs, as well as orthologs in other species.[ citation needed ]

Autophagy database

Autophagy database is a product of the National Institute of Genetics (NIG) [4] NIG was founded in June 1949 by the ministry of Education, Science, Sports, and Culture, with Prof. Kan Oguma being elected the first director. [4] Over time, many departments have been added for various applications such as Genetics, Genomics, DNA Research, and, most notably for our purposes, the DNA Data Bank. [4] NIG is a division of the Japanese Research Organization of Information and Systems, and is currently under the supervision of its ninth director. [4] NIG aims to conduct top-level research in the pursuit of streamlining of information, as well as the dissemination of information from research into societal application. [4] A tool created by this organization for this purpose is the Autophagy database.

The Autophagy database is a database of proteins involved in autophagy. The Autophagy database intends to collect all relevant information, organize it, and make it publicly available so that its users can easily get up-to-date knowledge. Specifically, the Autophagy database offers a "free-for-all" tool for those with interests, research and otherwise, in autophagy. [3] To better accomplish this aim, the available Autophagy database from NIG calls for users of the database to disseminate and share information, so that autophagy-related data can be available for free to all who need it. [1] For an interested research community, this model of research dissemination holds promise. As of April 2018;6 years ago, there were 582 reviewed proteins available in this database. [3] Including autophagic proteins available in HomoloGene, NCBI, there are over 52,000 total proteins. [3] Autophagy database offers comparison of homologous proteins between 41 different species to search new and old autophagy-related proteins, so that current autophagy research can be streamlined. [1] The database was made publicly available in March 2010 and currently includes 7,444 genes/proteins in 82 eukaryotes.

Human autophagy database

Human autophagy database is a product of the Luxembourg Institute of Health (LIH). [5] LIH has several branches throughout Luxembourg available for Biomonitoring, Infection and Immunity, Health administration, Oncology, Sports Medicine, and Biobank. Each of these departments aims to support the LIH mission statement, which is "to generate and translate research knowledge into clinical applications with an impact on the future challenges of health care and personalised medicine." [5] It offered tools. [5] The Laboratory of Experimental Cancer Research of LIH helped to establish one of these tools, that tool being the database known as Human autophagy database.[ citation needed ]

Human autophagy database (HADb) is another available autophagy resource. [2] Unlike Autophagy database, Human autophagy database only compares those proteins found in humans. HADb is the first human-only autophagy database, where researchers may find an updated listing of directly and indirectly related autophagic proteins, given no consistent database previously available to compensate for a huge expansion in autophagy research. [2] HADb does not only provide information on the gene of interest, but also aims to evolve into a database which can be used to analyze the gene of interest. [2] For this purpose, HADb was made as complete as possible in terms of autophagy-related proteins, though newly discovered proteins and genes may be submitted by different users to the Submission section. The information provided by Human autophagy database can be used further in bioinformatics applications.

Use in bioinformatics

Given that these databases are a large store of biological information, these can be used in bioinformatics applications to simplify information collection and analysis. Bioinformatics looks to pair biological discoveries with big data, to aid in improved scientific discoveries. Each database can be utilized to study an autophagic protein or gene of interest, where these databases are maintained by user submissions. Information for each gene can be used to access Entrez, Ensembl, and PubMed. FASTA sequence is also available for sequence analysis using sites such as BLAST. Specific uses available to Autophagy database and Human autophagy database are shown below.

Autophagy database has several available functions to search for autophagy-related proteins in different species.

Options for ADb Options for ADb.png
Options for ADb

A user may access Autophagy database at http://www.tanpaku.org/autophagy/index.html. The image given, "Options for ADb", showcases the variety of options available for this database. All unhighlighted tabs offer additional information and contact information unrelated to gene search. A user may refer to:

One use for autophagy database-Protein list Protein list for autophagy database.png
One use for autophagy database-Protein list
One use for autophagy database-Homologs Homology using autophagy database.png
One use for autophagy database-Homologs

Human autophagy database has available functions for Look for gene and Clustering. [2]

Look for gene: HADb. HADb for look for gene.png
Look for gene: HADb.

When accessing http://autophagy.lu/index.html, these options can be accessed. Interested parties may also Submit new human autophagy proteins to the database. A user may utilize the database according to the following options:

Clustering: HADb. HADb for clustering.png
Clustering: HADb.

Limitations of the Databases

Each database offers its own strengths and weaknesses.

Benefits of the Databases

Though each database has its own strengths and weaknesses, they each help to fill a gap. [3] Further additions may help to improve these databases in the future. Though there may be databases available that appear more complete for general gene or protein searches, such as NCBI, HADb and Autophagy database offer the most complete information on autophagy-related genes and proteins. The GUI is not fully refined for each, and may be harder to access, but each of these databases maintains focus on autophagy, whereas NCBI does not use the same focused approach on autophagy. As such, HADb and Autophagy database may offer an interesting route for exploration of autophagy-related genes and proteins.[ citation needed ]

See also

Related Research Articles

<span class="mw-page-title-main">National Center for Biotechnology Information</span> Database branch of the US National Library of Medicine

The National Center for Biotechnology Information (NCBI) is part of the (NLM), a branch of the National Institutes of Health (NIH). It is approved and funded by the government of the United States. The NCBI is located in Bethesda, Maryland, and was founded in 1988 through legislation sponsored by US Congressman Claude Pepper.

In bioinformatics, BLAST is an algorithm and program for comparing primary biological sequence information, such as the amino-acid sequences of proteins or the nucleotides of DNA and/or RNA sequences. A BLAST search enables a researcher to compare a subject protein or nucleotide sequence with a library or database of sequences, and identify database sequences that resemble the query sequence above a certain threshold. For example, following the discovery of a previously unknown gene in the mouse, a scientist will typically perform a BLAST search of the human genome to see if humans carry a similar gene; BLAST will identify sequences in the human genome that resemble the mouse gene based on similarity of sequence.

FASTA is a DNA and protein sequence alignment software package first described by David J. Lipman and William R. Pearson in 1985. Its legacy is the FASTA format which is now ubiquitous in bioinformatics.

In molecular biology, reading frames are defined as spans of DNA sequence between the start and stop codons. Usually, this is considered within a studied region of a prokaryotic DNA sequence, where only one of the six possible reading frames will be "open". Such an ORF may contain a start codon and by definition cannot extend beyond a stop codon. That start codon indicates where translation may start. The transcription termination site is located after the ORF, beyond the translation stop codon. If transcription were to cease before the stop codon, an incomplete protein would be made during translation.

A sequence profiling tool in bioinformatics is a type of software that presents information related to a genetic sequence, gene name, or keyword input. Such tools generally take a query such as a DNA, RNA, or protein sequence or ‘keyword’ and search one or more databases for information related to that sequence. Summaries and aggregate results are provided in standardized format describing the information that would otherwise have required visits to many smaller sites or direct literature searches to compile. Many sequence profiling tools are software portals or gateways that simplify the process of finding information about a query in the large and growing number of bioinformatics databases. The access to these kinds of tools is either web based or locally downloadable executables.

<span class="mw-page-title-main">Sequence homology</span> Shared ancestry between DNA, RNA or protein sequences

Sequence homology is the biological homology between DNA, RNA, or protein sequences, defined in terms of shared ancestry in the evolutionary history of life. Two segments of DNA can have shared ancestry because of three phenomena: either a speciation event (orthologs), or a duplication event (paralogs), or else a horizontal gene transfer event (xenologs).

<span class="mw-page-title-main">Ensembl genome database project</span> Scientific project at the European Bioinformatics Institute

Ensembl genome database project is a scientific project at the European Bioinformatics Institute, which provides a centralized resource for geneticists, molecular biologists and other researchers studying the genomes of our own species and other vertebrates and model organisms. Ensembl is one of several well known genome browsers for the retrieval of genomic information.

The Rat Genome Database (RGD) is a database of rat genomics, genetics, physiology and functional data, as well as data for comparative genomics between rat, human and mouse. RGD is responsible for attaching biological information to the rat genome via structured vocabulary, or ontology, annotations assigned to genes and quantitative trait loci (QTL), and for consolidating rat strain data and making it available to the research community. They are also developing a suite of tools for mining and analyzing genomic, physiologic and functional data for the rat, and comparative data for rat, mouse, human, and five other species.

The completion of the human genome sequencing in the early 2000s was a turning point in genomics research. Scientists have conducted series of research into the activities of genes and the genome as a whole. The human genome contains around 3 billion base pairs nucleotide, and the huge quantity of data created necessitates the development of an accessible tool to explore and interpret this information in order to investigate the genetic basis of disease, evolution, and biological processes. The field of genomics has continued to grow, with new sequencing technologies and computational tool making it easier to study the genome.

<span class="mw-page-title-main">Sequerome</span>

Sequerome is a web-based sequence profiling tool for integrating the results of a BLAST sequence-alignment report with external research tools and servers that perform advanced sequence manipulations, and allowing the user to record the steps of such an analysis. Sequerome is a web-based Java tool that acts as a front-end to BLAST queries and provides simplified access to web-distributed resources for protein and nucleic acid analysis.

UniGene was a NCBI database of the transcriptome and thus, despite the name, not primarily a database for genes. Each entry is a set of transcripts that appear to stem from the same transcription locus. Information on protein similarities, gene expression, cDNA clones, and genomic location is included with each entry.

<span class="mw-page-title-main">BNIP3</span> Protein-coding gene in the species Homo sapiens

BCL2/adenovirus E1B 19 kDa protein-interacting protein 3 is a protein found in humans that is encoded by the BNIP3 gene.

<span class="mw-page-title-main">MicrobesOnline</span>

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<span class="mw-page-title-main">Autophagy protein 5</span> Protein-coding gene in the species Homo sapiens

Autophagy protein 5 (ATG5) is a protein that, in humans, is encoded by the ATG5 gene located on chromosome 6. It is an E3 ubi autophagic cell death. ATG5 is a key protein involved in the extension of the phagophoric membrane in autophagic vesicles. It is activated by ATG7 and forms a complex with ATG12 and ATG16L1. This complex is necessary for LC3-I conjugation to PE (phosphatidylethanolamine) to form LC3-II. ATG5 can also act as a pro-apoptotic molecule targeted to the mitochondria. Under low levels of DNA damage, ATG5 can translocate to the nucleus and interact with survivin.

<span class="mw-page-title-main">MAP1LC3B</span> Protein-coding gene in the species Homo sapiens

Microtubule-associated proteins 1A/1B light chain 3B is a protein that in humans is encoded by the MAP1LC3B gene. LC3 is a central protein in the autophagy pathway where it functions in autophagy substrate selection and autophagosome biogenesis. LC3 is the most widely used marker of autophagosomes.

<span class="mw-page-title-main">ATG12</span> Protein-coding gene in the species Homo sapiens

Autophagy related 12 is a protein that in humans is encoded by the ATG12 gene.

The Viral Bioinformatics Resource Center (VBRC) is an online resource providing access to a database of curated viral genomes and a variety of tools for bioinformatic genome analysis. This resource was one of eight BRCs funded by NIAID with the goal of promoting research against emerging and re-emerging pathogens, particularly those seen as potential bioterrorism threats. The VBRC is now supported by Dr. Chris Upton at the University of Victoria.

GeneCards is a database of human genes that provides genomic, proteomic, transcriptomic, genetic and functional information on all known and predicted human genes. It is being developed and maintained by the Crown Human Genome Center at the Weizmann Institute of Science, in collaboration with LifeMap Sciences.

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In bioinformatics, the PANTHER classification system is a large curated biological database of gene/protein families and their functionally related subfamilies that can be used to classify and identify the function of gene products. PANTHER is part of the Gene Ontology Reference Genome Project designed to classify proteins and their genes for high-throughput analysis.

References

  1. 1 2 3 4 5 6 7 Homma, Keiichi; Suzuki Koji; Sugawara Hideaki (Jan 2011). "The Autophagy Database: an all-inclusive information resource on autophagy that provides nourishment for research". Nucleic Acids Res. 39 (Database issue). England: D986-90. doi:10.1093/nar/gkq995. PMC   3013813 . PMID   20972215.
  2. 1 2 3 4 5 6 7 Luxembourg Institute of Health. (n.d.). HADb: Human autophagy database. Retrieved April 13, 2018, from http://autophagy.lu/index.html
  3. 1 2 3 4 5 6 Homma, K., Suzuki, K., & Sugawara, H. (n.d.). Autophagy database. Retrieved April 13, 2018, from http://www.tanpaku.org/autophagy/index.html
  4. 1 2 3 4 5 National Institute of Genetics. (2018). National Institute of Genetics. Retrieved April 23, 2018, from https://www.nig.ac.jp/nig/
  5. 1 2 3 Luxembourg Institute of Health. (2015). Luxembourg Institute of Health. Retrieved April 23, 2018, from https://www.lih.lu/