Mining published lists of cancer related microarray experiments: identification of a gene expression signature having a critical role in cell-cycle control.

Abstract:

BACKGROUND:Routine application of gene expression microarray technology is rapidly producing large amounts of data that necessitate new approaches of analysis. The analysis of a specific microarray experiment profits enormously from cross-comparing to other experiments. This process is generally performed by numerical meta-analysis of published data where the researcher chooses the datasets to be analyzed based on assumptions about the biological relations of published datasets to his own data, thus severely limiting the possibility of finding surprising connections. Here we propose using a repository of published gene lists for the identification of interesting datasets to be subjected to more detailed numerical analysis. RESULTS:We have compiled lists of genes that have been reported as differentially regulated in cancer related microarray studies. We searched these gene lists for statistically significant overlaps with lists of genes regulated by the tumor suppressors p16 and pRB. We identified a highly significant overlap of p16 and pRB target genes with genes regulated by the EWS/FLI fusion protein. Detailed numerical analysis of these data identified two sets of genes with clearly distinct roles in the G1/S and the G2/M phases of the cell cycle, as measured by enrichment of Gene Ontology categories. CONCLUSION:We show that mining of published gene lists in the absence of numerical detail about gene expression levels constitutes a fast, easy to perform, widely applicable, and unbiased route towards the identification of biologically related gene expression microarray datasets.

journal_name

BMC Bioinformatics

journal_title

BMC bioinformatics

authors

Finocchiaro G,Mancuso F,Muller H

doi

10.1186/1471-2105-6-S4-S14

keywords:

subject

Has Abstract

pub_date

2005-12-01 00:00:00

pages

S14

issn

1471-2105

pii

1471-2105-6-S4-S14

journal_volume

6 Suppl 4

pub_type

杂志文章
  • Identifying target processes for microbial electrosynthesis by elementary mode analysis.

    abstract:BACKGROUND:Microbial electrosynthesis and electro fermentation are techniques that aim to optimize microbial production of chemicals and fuels by regulating the cellular redox balance via interaction with electrodes. While the concept is known for decades major knowledge gaps remain, which make it hard to evaluate its ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-014-0410-2

    authors: Kracke F,Krömer JO

    更新日期:2014-12-30 00:00:00

  • A unifying model of genome evolution under parsimony.

    abstract:BACKGROUND:Parsimony and maximum likelihood methods of phylogenetic tree estimation and parsimony methods for genome rearrangements are central to the study of genome evolution yet to date they have largely been pursued in isolation. RESULTS:We present a data structure called a history graph that offers a practical ba...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-15-206

    authors: Paten B,Zerbino DR,Hickey G,Haussler D

    更新日期:2014-06-19 00:00:00

  • Improving interoperability between microbial information and sequence databases.

    abstract:BACKGROUND:Biological resources are essential tools for biomedical research. Their availability is promoted through on-line catalogues. Common Access to Biological Resources and Information (CABRI) is a service for distribution of biological resources and related data collected by 28 European culture collections. Linki...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-6-S4-S23

    authors: Romano P,Dawyndt P,Piersigilli F,Swings J

    更新日期:2005-12-01 00:00:00

  • SDAR: a practical tool for graphical analysis of two-dimensional data.

    abstract:BACKGROUND:Two-dimensional data needs to be processed and analysed in almost any experimental laboratory. Some tasks in this context may be performed with generic software such as spreadsheet programs which are available ubiquitously, others may require more specialised software that requires paid licences. Additionall...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-201

    authors: Weeratunga S,Hu NJ,Simon A,Hofmann A

    更新日期:2012-08-14 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

  • Application of the common base method to regression and analysis of covariance (ANCOVA) in qPCR experiments and subsequent relative expression calculation.

    abstract:BACKGROUND:Quantitative polymerase chain reaction (qPCR) is the technique of choice for quantifying gene expression. While the technique itself is well established, approaches for the analysis of qPCR data continue to improve. RESULTS:Here we expand on the common base method to develop procedures for testing linear re...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03696-y

    authors: Ganger MT,Dietz GD,Headley P,Ewing SJ

    更新日期:2020-09-29 00:00:00

  • Pathogenic Bacillus anthracis in the progressive gene losses and gains in adaptive evolution.

    abstract:BACKGROUND:Sequence mutations represent a driving force of adaptive evolution in bacterial pathogens. It is especially evident in reductive genome evolution where bacteria underwent lifestyles shifting from a free-living to a strictly intracellular or host-depending life. It resulted in loss-of-function mutations and/o...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-S1-S3

    authors: Yu GX

    更新日期:2009-01-30 00:00:00

  • Inferring topology from clustering coefficients in protein-protein interaction networks.

    abstract:BACKGROUND:Although protein-protein interaction networks determined with high-throughput methods are incomplete, they are commonly used to infer the topology of the complete interactome. These partial networks often show a scale-free behavior with only a few proteins having many and the majority having only a few conne...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-519

    authors: Friedel CC,Zimmer R

    更新日期:2006-11-30 00:00:00

  • mSpecs: a software tool for the administration and editing of mass spectral libraries in the field of metabolomics.

    abstract:BACKGROUND:Metabolome analysis with GC/MS has meanwhile been established as one of the "omics" techniques. Compound identification is done by comparison of the MS data with compound libraries. Mass spectral libraries in the field of metabolomics ought to connect the relevant mass traces of the metabolites to other rele...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-229

    authors: Thielen B,Heinen S,Schomburg D

    更新日期:2009-07-22 00:00:00

  • Detecting transitions in protein dynamics using a recurrence quantification analysis based bootstrap method.

    abstract:BACKGROUND:Proteins undergo conformational transitions over different time scales. These transitions are closely intertwined with the protein's function. Numerous standard techniques such as principal component analysis are used to detect these transitions in molecular dynamics simulations. In this work, we add a new m...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-017-1943-y

    authors: Karain WI

    更新日期:2017-11-28 00:00:00

  • GC/MS based metabolomics: development of a data mining system for metabolite identification by using soft independent modeling of class analogy (SIMCA).

    abstract:BACKGROUND:The goal of metabolomics analyses is a comprehensive and systematic understanding of all metabolites in biological samples. Many useful platforms have been developed to achieve this goal. Gas chromatography coupled to mass spectrometry (GC/MS) is a well-established analytical method in metabolomics study, an...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-131

    authors: Tsugawa H,Tsujimoto Y,Arita M,Bamba T,Fukusaki E

    更新日期:2011-05-04 00:00:00

  • PIGS: improved estimates of identity-by-descent probabilities by probabilistic IBD graph sampling.

    abstract::Identifying segments in the genome of different individuals that are identical-by-descent (IBD) is a fundamental element of genetics. IBD data is used for numerous applications including demographic inference, heritability estimation, and mapping disease loci. Simultaneous detection of IBD over multiple haplotypes has...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-16-S5-S9

    authors: Park DS,Baran Y,Hormozdiari F,Eng C,Torgerson DG,Burchard EG,Zaitlen N

    更新日期:2015-01-01 00:00:00

  • Computational method for reducing variance with Affymetrix microarrays.

    abstract:BACKGROUND:Affymetrix microarrays are used by many laboratories to generate gene expression profiles. Generally, only large differences (> 1.7-fold) between conditions have been reported. Computational methods to reduce inter-array variability might be of value when attempting to detect smaller differences. We examined...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-3-23

    authors: Welle S,Brooks AI,Thornton CA

    更新日期:2002-08-30 00:00:00

  • imputeqc: an R package for assessing imputation quality of genotypes and optimizing imputation parameters.

    abstract:BACKGROUND:The imputation of genotypes increases the power of genome-wide association studies. However, the imputation quality should be assessed in each particular case. Nevertheless, not all imputation softwares control the error of output, e.g., the last release of fastPHASE program (1.4.8) lacks such an option. In ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-03589-0

    authors: Khvorykh GV,Khrunin AV

    更新日期:2020-07-24 00:00:00

  • Defiant: (DMRs: easy, fast, identification and ANnoTation) identifies differentially Methylated regions from iron-deficient rat hippocampus.

    abstract:BACKGROUND:Identification of differentially methylated regions (DMRs) is the initial step towards the study of DNA methylation-mediated gene regulation. Previous approaches to call DMRs suffer from false prediction, use extreme resources, and/or require library installation and input conversion. RESULTS:We developed a...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2037-1

    authors: Condon DE,Tran PV,Lien YC,Schug J,Georgieff MK,Simmons RA,Won KJ

    更新日期:2018-02-05 00:00:00

  • Automatic classification of protein structures using low-dimensional structure space mappings.

    abstract:BACKGROUND:Protein function is closely intertwined with protein structure. Discovery of meaningful structure-function relationships is of utmost importance in protein biochemistry and has led to creation of high-quality, manually curated classification databases, such as the gold-standard SCOP (Structural Classificatio...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-15-S2-S1

    authors: Asarnow D,Singh R

    更新日期:2014-01-01 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

  • GOPET: a tool for automated predictions of Gene Ontology terms.

    abstract:BACKGROUND:Vast progress in sequencing projects has called for annotation on a large scale. A Number of methods have been developed to address this challenging task. These methods, however, either apply to specific subsets, or their predictions are not formalised, or they do not provide precise confidence values for th...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-161

    authors: Vinayagam A,del Val C,Schubert F,Eils R,Glatting KH,Suhai S,König R

    更新日期:2006-03-20 00:00:00

  • DraGnET: software for storing, managing and analyzing annotated draft genome sequence data.

    abstract:BACKGROUND:New "next generation" DNA sequencing technologies offer individual researchers the ability to rapidly generate large amounts of genome sequence data at dramatically reduced costs. As a result, a need has arisen for new software tools for storage, management and analysis of genome sequence data. Although bioi...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-100

    authors: Duncan S,Sirkanungo R,Miller L,Phillips GJ

    更新日期:2010-02-22 00:00:00

  • A new advance in alternative splicing databases: from catalogue to detailed analysis of regulation of expression and function of human alternative splicing variants.

    abstract:BACKGROUND:Most human genes produce several transcripts with different exon contents by using alternative promoters, alternative polyadenylation sites and alternative splice sites. Much effort has been devoted to describing known gene transcripts through the development of numerous databases. Nevertheless, owing to the...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-180

    authors: de la Grange P,Dutertre M,Correa M,Auboeuf D

    更新日期:2007-06-04 00:00:00

  • Prediction of specificity-determining residues for small-molecule kinase inhibitors.

    abstract:BACKGROUND:Designing small-molecule kinase inhibitors with desirable selectivity profiles is a major challenge in drug discovery. A high-throughput screen for inhibitors of a given kinase will typically yield many compounds that inhibit more than one kinase. A series of chemical modifications are usually required befor...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-491

    authors: Caffrey DR,Lunney EA,Moshinsky DJ

    更新日期:2008-11-25 00:00:00

  • ORdensity: user-friendly R package to identify differentially expressed genes.

    abstract:BACKGROUND:Microarray technology provides the expression level of many genes. Nowadays, an important issue is to select a small number of informative differentially expressed genes that provide biological knowledge and may be key elements for a disease. With the increasing volume of data generated by modern biomedical ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-3463-4

    authors: Martínez-Otzeta JM,Irigoien I,Sierra B,Arenas C

    更新日期:2020-04-07 00:00:00

  • Computational approaches to protein inference in shotgun proteomics.

    abstract::Shotgun proteomics has recently emerged as a powerful approach to characterizing proteomes in biological samples. Its overall objective is to identify the form and quantity of each protein in a high-throughput manner by coupling liquid chromatography with tandem mass spectrometry. As a consequence of its high throughp...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章,评审

    doi:10.1186/1471-2105-13-S16-S4

    authors: Li YF,Radivojac P

    更新日期:2012-01-01 00:00:00

  • Genotype calling in tetraploid species from bi-allelic marker data using mixture models.

    abstract:BACKGROUND:Automated genotype calling in tetraploid species was until recently not possible, which hampered genetic analysis. Modern genotyping assays often produce two signals, one for each allele of a bi-allelic marker. While ample software is available to obtain genotypes (homozygous for either allele, or heterozygo...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-172

    authors: Voorrips RE,Gort G,Vosman B

    更新日期:2011-05-19 00:00:00

  • MOSBIE: a tool for comparison and analysis of rule-based biochemical models.

    abstract:BACKGROUND:Mechanistic models that describe the dynamical behaviors of biochemical systems are common in computational systems biology, especially in the realm of cellular signaling. The development of families of such models, either by a single research group or by different groups working within the same area, presen...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-15-316

    authors: Wenskovitch JE Jr,Harris LA,Tapia JJ,Faeder JR,Marai GE

    更新日期:2014-09-25 00:00:00

  • FITBAR: a web tool for the robust prediction of prokaryotic regulons.

    abstract:BACKGROUND:The binding of regulatory proteins to their specific DNA targets determines the accurate expression of the neighboring genes. The in silico prediction of new binding sites in completely sequenced genomes is a key aspect in the deeper understanding of gene regulatory networks. Several algorithms have been des...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-554

    authors: Oberto J

    更新日期:2010-11-11 00:00:00

  • Using affinity propagation for identifying subspecies among clonal organisms: lessons from M. tuberculosis.

    abstract:BACKGROUND:Classification and naming is a key step in the analysis, understanding and adequate management of living organisms. However, where to set limits between groups can be puzzling especially in clonal organisms. Within the Mycobacterium tuberculosis complex (MTC), the etiological agent of tuberculosis (TB), expe...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-224

    authors: Borile C,Labarre M,Franz S,Sola C,Refrégier G

    更新日期:2011-06-02 00:00:00

  • CaPSID: a bioinformatics platform for computational pathogen sequence identification in human genomes and transcriptomes.

    abstract:BACKGROUND:It is now well established that nearly 20% of human cancers are caused by infectious agents, and the list of human oncogenic pathogens will grow in the future for a variety of cancer types. Whole tumor transcriptome and genome sequencing by next-generation sequencing technologies presents an unparalleled opp...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-206

    authors: Borozan I,Wilson S,Blanchette P,Laflamme P,Watt SN,Krzyzanowski PM,Sircoulomb F,Rottapel R,Branton PE,Ferretti V

    更新日期:2012-08-17 00:00:00

  • Systematic integration of experimental data and models in systems biology.

    abstract:BACKGROUND:The behaviour of biological systems can be deduced from their mathematical models. However, multiple sources of data in diverse forms are required in the construction of a model in order to define its components and their biochemical reactions, and corresponding parameters. Automating the assembly and use of...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-582

    authors: Li P,Dada JO,Jameson D,Spasic I,Swainston N,Carroll K,Dunn W,Khan F,Malys N,Messiha HL,Simeonidis E,Weichart D,Winder C,Wishart J,Broomhead DS,Goble CA,Gaskell SJ,Kell DB,Westerhoff HV,Mendes P,Paton NW

    更新日期:2010-11-29 00:00:00

  • A multiresolution approach to automated classification of protein subcellular location images.

    abstract:BACKGROUND:Fluorescence microscopy is widely used to determine the subcellular location of proteins. Efforts to determine location on a proteome-wide basis create a need for automated methods to analyze the resulting images. Over the past ten years, the feasibility of using machine learning methods to recognize all maj...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-8-210

    authors: Chebira A,Barbotin Y,Jackson C,Merryman T,Srinivasa G,Murphy RF,Kovacević J

    更新日期:2007-06-19 00:00:00