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Geo Pertea

Publications and source records attributed to Geo Pertea.

5 recordsLinked to original sources

BDNF-DT and BDNF-AS-DT: novel genes in the BDNF locus.

Divergent transcription from bidirectional promoters is frequently observed in eukaryotic genomes, but the biological relevance of divergent RNA transcripts (DT) is unknown. We identified and characterized BDNF-DT, a novel DT gene, and BDNF-AS-DT, a novel readthrough gene, in the locus containing BDNF, a gene with key roles in neuronal development, differentiation, and synaptic plasticity. BDNF-DT is independent from the known BDNF antisense (BDNF-AS), and its expression is developmentally regulated and positively correlated with BDNF in human postmortem dorsolateral prefrontal cortex (DLPFC). BDNF-DT and BDNF-AS-DT expression increase after induced depolarization, but the temporal dynamics follow expression of BDNF, suggesting a regulatory role. Moreover, CRISPR-mediated upregulation of BDNF in human neural progenitor cells drives BDNF-DT expression. Finally, BDNF-DT shows higher expression in DLPFC from patients diagnosed with schizophrenia compared to neurotypical controls, and genetically predicted lower expression of the BDNF-AS-DT readthrough transcript is associated with schizophrenia and with the schizophrenia-associated C allele of the rs6265 single-nucleotide polymorphism. These findings identify BDNF-DT and BDNF-AS-DT as novel, low-abundance genes that show coordinated expression with BDNF and association with schizophrenia risk, though their biological significance requires further validation given detection limitations and the need to establish causal roles.

Humans↗

The TIGR Maize Database.

Maize is a staple crop of the grass family and also an excellent model for plant genetics. Owing to the large size and repetitiveness of its genome, we previously investigated two approaches to accelerate gene discovery and genome analysis in maize: methylation filtration and high C(0)t selection. These techniques allow the construction of gene-enriched genomic libraries by minimizing repeat sequences due to either their methylation status or their copy number, yielding a 7-fold enrichment in genic sequences relative to a random genomic library. Approximately 900,000 gene-enriched reads from maize were generated and clustered into Assembled Zea mays (AZM) sequences. Here we report the current AZM release, which consists of approximately 298 Mb representing 243,807 sequence assemblies and singletons. In order to provide a repository of publicly available maize genomic sequences, we have created the TIGR Maize Database (http://maize.tigr.org). In this resource, we have assembled and annotated the AZMs and used available sequenced markers to anchor AZMs to maize chromosomes. We have constructed a maize repeat database and generated draft sequence assemblies of 287 maize bacterial artificial chromosome (BAC) clone sequences, which we annotated along with 172 additional publicly available BAC clones. All sequences, assemblies and annotations are available at the project website via web interfaces and FTP downloads.

Chromosome Mapping↗

TIGR Gene Indices clustering tools (TGICL): a software system for fast clustering of large EST datasets.

TGICL is a pipeline for analysis of large Expressed Sequence Tags (EST) and mRNA databases in which the sequences are first clustered based on pairwise sequence similarity, and then assembled by individual clusters (optionally with quality values) to produce longer, more complete consensus sequences. The system can run on multi-CPU architectures including SMP and PVM.

Cluster Analysis↗

Porcine gene discovery by normalized cDNA-library sequencing and EST cluster assembly.

Genetic and environmental factors affect the efficiency of pork production by influencing gene expression during porcine reproduction, tissue development, and growth. The identification and functional analysis of gene products important to these processes would be greatly enhanced by the development of a database of expressed porcine gene sequence. Two normalized porcine cDNA libraries (MARC 1PIG and MARC 2PIG), derived respectively from embryonic and reproductive tissues, were constructed, sequenced, and analyzed. A total of 66,245 clones from these two libraries were 5?-end sequenced and deposited in GenBank. Cluster analysis revealed that within-library redundancy is low, and comparison of all porcine ESTs with the human database suggests that the sequences from these two libraries represent portions of a significant number of independent pig genes. A Porcine Gene Index (PGI), comprising 15,616 tentative consensus sequences and 31,466 singletons, includes all sequences in public repositories and has been developed to facilitate further comparative map development and characterization of porcine genes (http://www.tigr.org/tdb/ssgi/). The clones and sequences from these libraries provide a catalog of expressed porcine genes and a resource for development of high-density hybridization arrays for transcriptional profiling of porcine tissues. In addition, comparison of porcine ESTs with sequences from other species serves as a valuable resource for comparative map development. Both arrayed cDNA libraries are available for unrestricted public use.

Animals↗

Cross-referencing eukaryotic genomes: TIGR Orthologous Gene Alignments (TOGA).

Comparative genomics promises to rapidly accelerate the identification and functional classification of biologically important human genes. We developed the TIGR Orthologous Gene Alignment (TOGA; ) database to provide a cross-reference between fully and partially sequenced eukaryotic transcribed sequences. Starting with the assembled expressed sequence tag (EST) and gene sequences that comprise the 28 TIGR Gene Indices, we used high-stringency pair-wise sequence searches and a reflexive, transitive closure process to associate sequence-specific best hits, generating 32,652 tentative ortholog groups (TOGs). This has allowed us to identify putative orthologs and paralogs for known genes, as well as those that exist only as uncharacterized ESTs and to provide links to additional information including genome sequence and mapping data. TOGA provides an important new resource for the analysis of gene function in eukaryotes. In addition, an analysis of the most widely represented sequences can begin to provide insight into eukaryotic biological processes.

Algorithms↗