Construction and analysis of the protein-protein interaction networks for schizophrenia, bipolar disorder, and major depression.

Abstract:

BACKGROUND:Schizophrenia, bipolar disorder, and major depression are devastating mental diseases, each with distinctive yet overlapping epidemiologic characteristics. Microarray and proteomics data have revealed genes which expressed abnormally in patients. Several single nucleotide polymorphisms (SNPs) and mutations are associated with one or more of the three diseases. Nevertheless, there are few studies on the interactions among the disease-associated genes and proteins. RESULTS:This study, for the first time, incorporated microarray and protein-protein interaction (PPI) databases to construct the PPI network of abnormally expressed genes in postmortem brain samples of schizophrenia, bipolar disorder, and major depression patients. The samples were collected from Brodmann area (BA) 10 of the prefrontal cortex. Abnormally expressed disease genes were selected by t-tests comparing the disease and control samples. These genes were involved in housekeeping functions (e.g. translation, transcription, energy conversion, and metabolism), in brain specific functions (e.g. signal transduction, neuron cell differentiation, and cytoskeleton), or in stress responses (e.g. heat shocks and biotic stress).The diseases were interconnected through several "switchboard"-like nodes in the PPI network or shared abnormally expressed genes. A "core" functional module which consisted of a tightly knitted sub-network of clique-5 and -4s was also observed. These cliques were formed by 12 genes highly expressed in both disease and control samples. CONCLUSIONS:Several previously unidentified disease marker genes and drug targets, such as SBNO2 (schizophrenia), SEC24C (bipolar disorder), and SRRT (major depression), were identified based on statistical and topological analyses of the PPI network. The shared or interconnecting marker genes may explain the shared symptoms of the studied diseases. Furthermore, the "switchboard" genes, such as APP, UBC, and YWHAZ, are proposed as potential targets for developing new treatments due to their functional and topological significance.

journal_name

BMC Bioinformatics

journal_title

BMC bioinformatics

authors

Lee SA,Tsao TT,Yang KC,Lin H,Kuo YL,Hsu CH,Lee WK,Huang KC,Kao CY

doi

10.1186/1471-2105-12-S13-S20

subject

Has Abstract

pub_date

2011-01-01 00:00:00

pages

S20

issn

1471-2105

pii

1471-2105-12-S13-S20

journal_volume

12 Suppl 13

pub_type

杂志文章
  • Principal components analysis based methodology to identify differentially expressed genes in time-course microarray data.

    abstract:BACKGROUND:Time-course microarray experiments are being increasingly used to characterize dynamic biological processes. In these experiments, the goal is to identify genes differentially expressed in time-course data, measured between different biological conditions. These differentially expressed genes can reveal the ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-267

    authors: Jonnalagadda S,Srinivasan R

    更新日期:2008-06-06 00:00:00

  • RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome.

    abstract:BACKGROUND:RNA-Seq is revolutionizing the way transcript abundances are measured. A key challenge in transcript quantification from RNA-Seq data is the handling of reads that map to multiple genes or isoforms. This issue is particularly important for quantification with de novo transcriptome assemblies in the absence o...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-323

    authors: Li B,Dewey CN

    更新日期:2011-08-04 00:00:00

  • Automatic localization and identification of mitochondria in cellular electron cryo-tomography using faster-RCNN.

    abstract:BACKGROUND:Cryo-electron tomography (cryo-ET) enables the 3D visualization of cellular organization in near-native state which plays important roles in the field of structural cell biology. However, due to the low signal-to-noise ratio (SNR), large volume and high content complexity within cells, it remains difficult a...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-2650-7

    authors: Li R,Zeng X,Sigmund SE,Lin R,Zhou B,Liu C,Wang K,Jiang R,Freyberg Z,Lv H,Xu M

    更新日期:2019-03-29 00:00:00

  • SNP and gene networks construction and analysis from classification of copy number variations data.

    abstract:BACKGROUND:Detection of genomic DNA copy number variations (CNVs) can provide a complete and more comprehensive view of human disease. It is interesting to identify and represent relevant CNVs from a genome-wide data due to high data volume and the complexity of interactions. RESULTS:In this paper, we incorporate the ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-S5-S4

    authors: Liu Y,Lee YF,Ng MK

    更新日期:2011-01-01 00:00:00

  • ORFer--retrieval of protein sequences and open reading frames from GenBank and storage into relational databases or text files.

    abstract:BACKGROUND:Functional genomics involves the parallel experimentation with large sets of proteins. This requires management of large sets of open reading frames as a prerequisite of the cloning and recombinant expression of these proteins. RESULTS:A Java program was developed for retrieval of protein and nucleic acid s...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-3-40

    authors: Büssow K,Hoffmann S,Sievert V

    更新日期:2002-12-19 00:00:00

  • Efficient and automated large-scale detection of structural relationships in proteins with a flexible aligner.

    abstract:BACKGROUND:The total number of known three-dimensional protein structures is rapidly increasing. Consequently, the need for fast structural search against complete databases without a significant loss of accuracy is increasingly demanding. Recently, TopSearch, an ultra-fast method for finding rigid structural relations...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-015-0866-8

    authors: Gutiérrez FI,Rodriguez-Valenzuela F,Ibarra IL,Devos DP,Melo F

    更新日期:2016-01-05 00:00:00

  • Simple binary segmentation frameworks for identifying variation in DNA copy number.

    abstract:BACKGROUND:Variation in DNA copy number, due to gains and losses of chromosome segments, is common. A first step for analyzing DNA copy number data is to identify amplified or deleted regions in individuals. To locate such regions, we propose a circular binary segmentation procedure, which is based on a sequence of nes...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-277

    authors: Yang TY

    更新日期:2012-10-30 00:00:00

  • A benchmark study of sequence alignment methods for protein clustering.

    abstract:BACKGROUND:Protein sequence alignment analyses have become a crucial step for many bioinformatics studies during the past decades. Multiple sequence alignment (MSA) and pair-wise sequence alignment (PSA) are two major approaches in sequence alignment. Former benchmark studies revealed drawbacks of MSA methods on nucleo...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2524-4

    authors: Wang Y,Wu H,Cai Y

    更新日期:2018-12-31 00:00:00

  • An assessment of catalytic residue 3D ensembles for the prediction of enzyme function.

    abstract:BACKGROUND:The central element of each enzyme is the catalytic site, which commonly catalyzes a single biochemical reaction with high specificity. It was unclear to us how often sites that catalyze the same or highly similar reactions evolved on different, i. e. non-homologous protein folds and how similar their 3D pos...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-015-0807-6

    authors: Žváček C,Friedrichs G,Heizinger L,Merkl R

    更新日期:2015-11-04 00:00:00

  • Robust joint analysis allowing for model uncertainty in two-stage genetic association studies.

    abstract:BACKGROUND:The cost efficient two-stage design is often used in genome-wide association studies (GWASs) in searching for genetic loci underlying the susceptibility for complex diseases. Replication-based analysis, which considers data from each stage separately, often suffers from loss of efficiency. Joint test that co...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-9

    authors: Pan D,Li Q,Jiang N,Liu A,Yu K

    更新日期:2011-01-07 00:00:00

  • Efficient computation of absent words in genomic sequences.

    abstract:BACKGROUND:Analysis of sequence composition is a routine task in genome research. Organisms are characterized by their base composition, dinucleotide relative abundance, codon usage, and so on. Unique subsequences are markers of special interest in genome comparison, expression profiling, and genetic engineering. Relat...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-167

    authors: Herold J,Kurtz S,Giegerich R

    更新日期:2008-03-26 00:00:00

  • VKCDB: voltage-gated potassium channel database.

    abstract:BACKGROUND:The family of voltage-gated potassium channels comprises a functionally diverse group of membrane proteins. They help maintain and regulate the potassium ion-based component of the membrane potential and are thus central to many critical physiological processes. VKCDB (Voltage-gated potassium [K] Channel Dat...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章,评审

    doi:10.1186/1471-2105-5-3

    authors: Li B,Gallin WJ

    更新日期:2004-01-09 00:00:00

  • LS-NMF: a modified non-negative matrix factorization algorithm utilizing uncertainty estimates.

    abstract:BACKGROUND:Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to identify patterns that together explain the data as a linear combination of expression signatures. Microarray data generally includes individual e...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-175

    authors: Wang G,Kossenkov AV,Ochs MF

    更新日期:2006-03-28 00:00:00

  • Analysis of genomic and transcriptomic variations as prognostic signature for lung adenocarcinoma.

    abstract:BACKGROUND:Lung cancer is the leading cause of the largest number of deaths worldwide and lung adenocarcinoma is the most common form of lung cancer. In order to understand the molecular basis of lung adenocarcinoma, integrative analysis have been performed by using genomics, transcriptomics, epigenomics, proteomics an...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03691-3

    authors: Zengin T,Önal-Süzek T

    更新日期:2020-09-30 00:00:00

  • The effect of rare variants on inflation of the test statistics in case-control analyses.

    abstract:BACKGROUND:The detection of bias due to cryptic population structure is an important step in the evaluation of findings of genetic association studies. The standard method of measuring this bias in a genetic association study is to compare the observed median association test statistic to the expected median test stati...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-015-0496-1

    authors: Pirie A,Wood A,Lush M,Tyrer J,Pharoah PD

    更新日期:2015-02-20 00:00:00

  • RocSampler: regularizing overlapping protein complexes in protein-protein interaction networks.

    abstract:BACKGROUND:In recent years, protein-protein interaction (PPI) networks have been well recognized as important resources to elucidate various biological processes and cellular mechanisms. In this paper, we address the problem of predicting protein complexes from a PPI network. This problem has two difficulties. One is r...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-017-1920-5

    authors: Maruyama O,Kuwahara Y

    更新日期:2017-12-06 00:00:00

  • MGOGP: a gene module-based heuristic algorithm for cancer-related gene prioritization.

    abstract:BACKGROUND:Prioritizing genes according to their associations with a cancer allows researchers to explore genes in more informed ways. By far, Gene-centric or network-centric gene prioritization methods are predominated. Genes and their protein products carry out cellular processes in the context of functional modules....

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2216-0

    authors: Su L,Liu G,Bai T,Meng X,Ma Q

    更新日期:2018-06-05 00:00:00

  • Analysis of cancer metabolism with high-throughput technologies.

    abstract:BACKGROUND:Recent advances in genomics and proteomics have allowed us to study the nuances of the Warburg effect--a long-standing puzzle in cancer energy metabolism--at an unprecedented level of detail. While modern next-generation sequencing technologies are extremely powerful, the lack of appropriate data analysis to...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-S10-S8

    authors: Markovets AA,Herman D

    更新日期:2011-10-18 00:00:00

  • Probe-specific mixed-model approach to detect copy number differences using multiplex ligation-dependent probe amplification (MLPA).

    abstract:BACKGROUND:MLPA method is a potentially useful semi-quantitative method to detect copy number alterations in targeted regions. In this paper, we propose a method for the normalization procedure based on a non-linear mixed-model, as well as a new approach for determining the statistical significance of altered probes ba...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-261

    authors: González JR,Carrasco JL,Armengol L,Villatoro S,Jover L,Yasui Y,Estivill X

    更新日期:2008-06-04 00:00:00

  • A format for databasing and comparison of AFLP fingerprint profiles.

    abstract:BACKGROUND:Amplified fragment length polymorphism (AFLP) is a PCR-based technique that involves restriction of genomic DNA followed by ligation of adaptors to the fragments generated and selective PCR amplification of a subset of these fragments. The amplified fragments are separated on a sequencing gel and visualized ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-4-7

    authors: Hong Y,Chuah A

    更新日期:2003-02-25 00:00:00

  • Evidence for intron length conservation in a set of mammalian genes associated with embryonic development.

    abstract:BACKGROUND:We carried out an analysis of intron length conservation across a diverse group of nineteen mammalian species. Motivated by recent research suggesting a role for time delays associated with intron transcription in gene expression oscillations required for early embryonic patterning, we searched for examples ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-S9-S16

    authors: Seoighe C,Korir PK

    更新日期:2011-10-05 00:00:00

  • Quantitative prediction of the effect of genetic variation using hidden Markov models.

    abstract:BACKGROUND:With the development of sequencing technologies, more and more sequence variants are available for investigation. Different classes of variants in the human genome have been identified, including single nucleotide substitutions, insertion and deletion, and large structural variations such as duplications and...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-15-5

    authors: Liu M,Watson LT,Zhang L

    更新日期:2014-01-09 00:00:00

  • Multi-resolution independent component analysis for high-performance tumor classification and biomarker discovery.

    abstract:BACKGROUND:Although high-throughput microarray based molecular diagnostic technologies show a great promise in cancer diagnosis, it is still far from a clinical application due to its low and instable sensitivities and specificities in cancer molecular pattern recognition. In fact, high-dimensional and heterogeneous tu...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-S1-S7

    authors: Han H,Li XL

    更新日期:2011-02-15 00:00:00

  • Semantically linking molecular entities in literature through entity relationships.

    abstract:BACKGROUND:Text mining tools have gained popularity to process the vast amount of available research articles in the biomedical literature. It is crucial that such tools extract information with a sufficient level of detail to be applicable in real life scenarios. Studies of mining non-causal molecular relations attrib...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-S11-S6

    authors: Van Landeghem S,Björne J,Abeel T,De Baets B,Salakoski T,Van de Peer Y

    更新日期:2012-06-26 00:00:00

  • TGF-beta signaling proteins and the Protein Ontology.

    abstract:BACKGROUND:The Protein Ontology (PRO) is designed as a formal and principled Open Biomedical Ontologies (OBO) Foundry ontology for proteins. The components of PRO extend from a classification of proteins on the basis of evolutionary relationships at the homeomorphic level to the representation of the multiple protein f...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-S5-S3

    authors: Arighi CN,Liu H,Natale DA,Barker WC,Drabkin H,Blake JA,Smith B,Wu CH

    更新日期:2009-05-06 00:00:00

  • Boosting the discriminatory power of sparse survival models via optimization of the concordance index and stability selection.

    abstract:BACKGROUND:When constructing new biomarker or gene signature scores for time-to-event outcomes, the underlying aims are to develop a discrimination model that helps to predict whether patients have a poor or good prognosis and to identify the most influential variables for this task. In practice, this is often done fit...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-016-1149-8

    authors: Mayr A,Hofner B,Schmid M

    更新日期:2016-07-22 00:00:00

  • A compartmentalized approach to the assembly of physical maps.

    abstract:BACKGROUND:Physical maps have been historically one of the cornerstones of genome sequencing and map-based cloning strategies. They also support marker assisted breeding and EST mapping. The problem of building a high quality physical map is computationally challenging due to unavoidable noise in the input fingerprint ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-217

    authors: Bozdag S,Close TJ,Lonardi S

    更新日期:2009-07-15 00:00:00

  • TooT-T: discrimination of transport proteins from non-transport proteins.

    abstract:BACKGROUND:Membrane transport proteins (transporters) play an essential role in every living cell by transporting hydrophilic molecules across the hydrophobic membranes. While the sequences of many membrane proteins are known, their structure and function is still not well characterized and understood, owing to the imm...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-3311-6

    authors: Alballa M,Butler G

    更新日期:2020-04-23 00:00:00

  • Optimal neighborhood indexing for protein similarity search.

    abstract:BACKGROUND:Similarity inference, one of the main bioinformatics tasks, has to face an exponential growth of the biological data. A classical approach used to cope with this data flow involves heuristics with large seed indexes. In order to speed up this technique, the index can be enhanced by storing additional informa...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-534

    authors: Peterlongo P,Noé L,Lavenier D,Nguyen VH,Kucherov G,Giraud M

    更新日期:2008-12-16 00:00:00

  • How large B-factors can be in protein crystal structures.

    abstract:BACKGROUND:Protein crystal structures are potentially over-interpreted since they are routinely refined without any restraint on the upper limit of atomic B-factors. Consequently, some of their atoms, undetected in the electron density maps, are allowed to reach extremely large B-factors, even above 100 square Angstrom...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2083-8

    authors: Carugo O

    更新日期:2018-02-23 00:00:00