Literature DB >> 17873373

Neuronal apoptosis revealed by genomic analysis: integrating gene expression profiles with functional information.

Sebastiano Cavallaro1.   

Abstract

Apoptosis is a key physiological response that occurs during development of the nervous system, resulting in the death of nearly half of the embryonic neuronal population. Aberrant apoptotic mechanisms are thought to contribute significantly to many neurological disorders including Alzheimer's disease. Although many experiments in the past have demonstrated the requirement of de novo gene expression during neuronal apoptosis, the complete spectrum of genes involved in distinct temporal domains is mostly unknown. To begin a comprehensive survey of the gene-based molecular mechanisms that underlie neuronal apoptosis, we have used the unprecedented experimental opportunities that genome sequences and the development of DNA microarray technology now provide to perform genome-wide expression analysis in different paradigms of neuronal apoptosis. In order to extract knowledge from gene expression information we have developed new informatics applications that enable clustering methods based on semantic characteristics, such as gene ontologies. This review will highlight the use of a genomic approach to identify the molecular program underlying neuronal apoptosis and illustrate how a semantic clustering method can be useful to extract more knowledge from microarray data.

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Year:  2007        PMID: 17873373     DOI: 10.1007/s12021-007-0006-3

Source DB:  PubMed          Journal:  Neuroinformatics        ISSN: 1539-2791


  21 in total

Review 1.  Gene expression microarrays and the integration of biological knowledge.

Authors:  M O Noordewier; P V Warren
Journal:  Trends Biotechnol       Date:  2001-10       Impact factor: 19.536

Review 2.  DNA microarray technology: devices, systems, and applications.

Authors:  Michael J Heller
Journal:  Annu Rev Biomed Eng       Date:  2002-03-22       Impact factor: 9.590

3.  Gene expression profiles of apoptotic neurons.

Authors:  Sebastiano Cavallaro; Velia D'Agata; Enrico Alessi; Salvatore Coffa; Daniel L Alkon; Pachiappan Manickam; Maria Teresa Ciotti; Roberta Possenti; Paolo Bonini; Lionel Marlier; Pietro Calissano
Journal:  Genomics       Date:  2004-09       Impact factor: 5.736

Review 4.  Microarray expression technology: from start to finish.

Authors:  Gareth Elvidge
Journal:  Pharmacogenomics       Date:  2006-01       Impact factor: 2.533

5.  Apoptosis in cerebellar granule cells is blocked by high KCl, forskolin, and IGF-1 through distinct mechanisms of action: the involvement of intracellular calcium and RNA synthesis.

Authors:  C Galli; O Meucci; A Scorziello; T M Werge; P Calissano; G Schettini
Journal:  J Neurosci       Date:  1995-02       Impact factor: 6.167

Review 6.  Neuronal cell death.

Authors:  B Pettmann; C E Henderson
Journal:  Neuron       Date:  1998-04       Impact factor: 17.173

7.  Rapid uncoupling of oxidative phosphorylation accompanies glutamate toxicity in rat cerebellar granule cells.

Authors:  A Atlante; S Gagliardi; G M Minervini; E Marra; S Passarella; P Calissano
Journal:  Neuroreport       Date:  1996-11-04       Impact factor: 1.837

Review 8.  Treating neurodegenerative conditions through the understanding of neuronal apoptosis.

Authors:  Santosh R D'Mello; Paul C Chin
Journal:  Curr Drug Targets CNS Neurol Disord       Date:  2005-02

Review 9.  Challenges in neuronal apoptosis.

Authors:  Kurt A Jellinger
Journal:  Curr Alzheimer Res       Date:  2006-09       Impact factor: 3.498

10.  Cluster analysis and display of genome-wide expression patterns.

Authors:  M B Eisen; P T Spellman; P O Brown; D Botstein
Journal:  Proc Natl Acad Sci U S A       Date:  1998-12-08       Impact factor: 11.205

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  1 in total

1.  Transcriptional Profiles of Cell Fate Transitions Reveal Early Drivers of Neuronal Apoptosis and Survival.

Authors:  Giovanna Morello; Ambra Villari; Antonio Gianmaria Spampinato; Valentina La Cognata; Maria Guarnaccia; Giulia Gentile; Maria Teresa Ciotti; Pietro Calissano; Velia D'Agata; Cinzia Severini; Sebastiano Cavallaro
Journal:  Cells       Date:  2021-11-19       Impact factor: 6.600

  1 in total

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