ArticleProceedings of the National Academy of Sciences of the United States of America1998
Large-scale temporal gene expression mapping of central nervous system development.
Article in Proceedings of the National Academy of Sciences of the United States of America, 1998. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.
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Who cites it
88 citing papers in PubMed, 644 citations in OpenAlex.
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- Differential coexpression in human tissues and the confounding effect of mean expression levels.Bioinformatics (Oxford, England) · 2019Article
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- Influence maximization in time bounded network identifies transcription factors regulating perturbed pathways.Bioinformatics (Oxford, England) · 2016Article
- Construction of Gene Regulatory Networks Using Recurrent Neural Networks and Swarm Intelligence.Scientifica · 2016Article
- A survey of computational tools for downstream analysis of proteomic and other omic datasets.Human genomics · 2015Review
- Putative synaptic genes defined from a Drosophila whole body developmental transcriptome by a machine learning approach.BMC genomics · 2015Article
- Progeny Clustering: A Method to Identify Biological Phenotypes.Scientific reports · 2015Article
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- Reverse engineering gene regulatory networks: coupling an optimization algorithm with a parameter identification technique.BMC bioinformatics · 2014Article
- Integrative omics analysis. A study based on Plasmodium falciparum mRNA and protein data.BMC systems biology · 2014Article
- The analytical landscape of static and temporal dynamics in transcriptome data.Frontiers in genetics · 2014Review
- MaTSE: the gene expression time-series explorer.BMC bioinformatics · 2013Article
- A methodology to assess the intrinsic discriminative ability of a distance function and its interplay with clustering algorithms for microarray data analysis.BMC bioinformatics · 2013Article
- Genome-wide matching of genes to cellular roles using guilt-by-association models derived from single sample analysis.BMC research notes · 2012Article
28 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We used reverse transcription-coupled PCR to produce a high-resolution temporal map of fluctuations in mRNA expression of 112 genes during rat central nervous system development, focusing on the cervical spinal cord. The data provide a temporal gene expression "fingerprint" of spinal cord development based on major families of inter- and intracellular signaling genes. By using distance matrices for the pair-wise comparison of these 112 temporal gene expression patterns as the basis for a cluster analysis, we found five basic "waves" of expression that characterize distinct phases of development. The results suggest functional relationships among the genes fluctuating in parallel. We found that genes belonging to distinct functional classes and gene families clearly map to particular expression profiles. The concepts and data analysis discussed herein may be useful in objectively identifying coherent patterns and sequences of events in the complex genetic signaling network of development. Functional genomics approaches such as this may have applications in the elucidation of complex developmental and degenerative disorders.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.