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LongSAGE analysis significantly improves genome annotation

ABSTRACT: Owing to its increased tag length, LongSAGE tags are expected to be more reliable in direct assignment to genome sequences. Therefore, we evaluated the use of LongSAGE data in genome annotation by using our LongSAGE dataset of 202 015 tags (consisting of 41 718 unique tags), experimentally generated from mouse embryonic tail libraries. RESULTS: A fraction of LongSAGE tags could not be unambiguously assigned to its gene, due to the presence of widely conserved sequences downstream of particular CATG anchor sites. The presence of alternative forms of transcripts was confirmed in 45% of all detected genes. Surprisingly, a large fraction of LongSAGE tags with hits to the genome (66%) could not be assigned to any gene annotated in EnsEMBL. Among such cases, 2098 LongSAGE tags fell into a region containing a putative gene predicted by GenScan, providing experimental evidence for the presence of real genes, while 9112 genes were found out to be left out or wrongly annotated by the EnsEMBL pipeline. CONCLUSIONS: LongSAGE transcriptome data can significantly improve the genome annotation by identifying novel genes and alternative transcripts, even in the case of thus far best-characterized organisms like the mouse. Keywords: other

ORGANISM(S): Mus musculus

PROVIDER: GSE2967 | GEO | 2005/07/20

SECONDARY ACCESSION(S): PRJNA91953

REPOSITORIES: GEO

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LongSAGE analysis significantly improves genome annotation

Project description:Owing to its increased tag length, LongSAGE tags are expected to be more reliable in direct assignment to genome sequences. Therefore, we evaluated the use of LongSAGE data in genome annotation by using our LongSAGE dataset of 202 015 tags (consisting of 41 718 unique tags), experimentally generated from mouse embryonic tail libraries. RESULTS: A fraction of LongSAGE tags could not be unambiguously assigned to its gene, due to the presence of widely conserved sequences downstream of particular CATG anchor sites. The presence of alternative forms of transcripts was confirmed in 45% of all detected genes. Surprisingly, a large fraction of LongSAGE tags with hits to the genome (66%) could not be assigned to any gene annotated in EnsEMBL. Among such cases, 2098 LongSAGE tags fell into a region containing a putative gene predicted by GenScan, providing experimental evidence for the presence of real genes, while 9112 genes were found out to be left out or wrongly annotated by the EnsEMBL pipeline. CONCLUSIONS: LongSAGE transcriptome data can significantly improve the genome annotation by identifying novel genes and alternative transcripts, even in the case of thus far best-characterized organisms like the mouse. Keywords: other Owing to its increased tag length, LongSAGE tags are expected to be more reliable in direct assignment to genome sequences. Therefore, we evaluated the use of LongSAGE data in genome annotation by using our LongSAGE dataset of 202 015 tags (consisting of 41 718 unique tags), experimentally generated from mouse embryonic tail libraries.

2005-07-20 | E-GEOD-2967 | biostudies-arrayexpress

Application of Serial Analysis of Gene Expression to the study of the gene expression profile of Leishmania infantum chagasi promastigote

Project description:This study describes the application of the LongSAGE methodology to study the gene expression profile in Leishmania infantum chagasi. A tag library was created using the LongSAGE method and consisted of 14,208 tags of 17 bases. Of these, 8,427 (59.3%) were distinct. BLAST research of the 1,645 most abundant tags showed that 12.8% of them identified the coding sequences of genes, while 82% (1,349/1,645) identified one or more genomic sequences that did not correspond with open reading frames. Only 5.2% (84/1,645) of the tags were not aligned to any position in the L. infantum genome. The UTR size of Leishmania and the lack of CATG sites in some transcripts were decisive for the generation of tags in these regions. LongSAGE revealed the gene expression profile in promastigotes of L. i. chagasi. Additional analysis will allow a better understanding of the expression profile and discovering the key genes in this life cycle.

2011-08-10 | GSE29369 | GEO

Babesia Infected/Control LongSAGE libraries for Boophilus microplus ovary tissue

Project description:Babesia infected (and control) ovary tissue was used to construct LongSAGE libraries. The intent was to find differential gene expression in both libraries. Details: The extraction was done using Ambion's ToTALLY RNA kit, and the concatemers where constructed using Invitrogen's I-SAGE Long kit. The concatmer files (multiple fasta sequence files) were processed using in-house perl scripts to extract the 17bp LongSAGE tags. **Note: contact person: Felix D. Guerrero. email: felix.guerrero@ars.usda.gov Keywords: LongSAGE

2009-03-01 | GSE9880 | GEO

Structural annotation of equine protein-coding genes determined by mRNA sequencing

Project description:The horse, like a majority of animal species, has a limited amount of species-specific expressed sequence data available in public databases. As a result, structural models for a majority of genes defined in the equine genome are predictions based on ab initio sequence analysis or the projection of gene structures from other mammalian species. The current study used Illumina-based sequencing of messenger RNA (RNA-seq) to help refine structural annotation of equine protein-coding genes and for a preliminary assessment of gene expression patterns. Sequencing of mRNA from eight equine tissues generated 293,758,105 thirty five-base sequence tags, equaling 10.28 giga-basepairs of total sequence data. The tag alignments represent approximately 208X coverage of the equine mRNA transcriptome and confirmed transcriptional activity for roughly 90% of the protein-coding gene structures predicted by Ensembl and NCBI. Tag coverage was sufficient to define structural annotation for 11,356 genes, while also identifying an additional 456 transcripts with exon/intron features that are not listed by either Ensembl or NCBI. Genomic locus data and intervals for the protein-coding genes predicted by the Ensembl and NCBI annotation pipelines were combined with 75,116 RNA-seq derived transcriptional units to generate a consensus equine protein-coding gene set of 20,302 defined loci. Gene ontology annotation was used to compare the functional and structural categories of genes expressed in either a tissue-restricted pattern or broadly across all tissue samples. Examination of 8 equine RNA samples representing 6 distinct tissues

2010-11-10 | E-GEOD-21925 | biostudies-arrayexpress

Structural annotation of equine protein-coding genes determined by mRNA sequencing

2010-11-10 | GSE21925 | GEO

Mus musculus

Project description:LongSAGE analysis significantly improves genome annotation

| PRJNA91953 | ENA

Detecting novel low-abundant transcripts in Drosophila

Project description:Increasing evidence suggests that low-abundant transcripts may play fundamental roles in biological processes. In an attempt to estimate the prevalence of low-abundant transcripts in eukaryotic genomes, we performed a transcriptome analysis in Drosophila using the SAGE technique. We collected 244,313 SAGE tags from transcripts expressed in Drosophila embryonic, larval, pupae, adult, and testicular tissue. From these SAGE tags, we identified 40,823 unique SAGE tags. Our analysis showed that 55% of the 40,823 unique SAGE tags are novel without matches in currently known Drosophila transcripts, and most of the novel SAGE tags have low copy numbers. Further analysis indicated that these novel SAGE tags represent novel low-abundant transcripts expressed from loci outside of currently annotated exons including the intergenic and intronic regions, and antisense of the currently annotated exons in the Drosophila genome. Our study reveals the presence of a significant number of novel low-abundant transcripts in Drosophila, and highlights the need to isolate these novel low-abundant transcripts for further biological studies. Keywords: other

2005-06-03 | GSE2347 | GEO

Spore formation of Lentinula edodes (LongSAGE)

Project description:Gene expression profiles before and after spore formation of Lentinula edodes (L54) grown at sawdust. SAGE were used to generate tags from RNA of fruit bodies of L. edodes. RNA were extracted from the fruit bodies before and after spore observed. Gene expression profiles of both stages were compared to screen out genes may relate to spore formation. To facilitate comparison of LongSAGE and SAGE data in GEO, LongSAGE tags (15bp) were trimmed to become 10bp and uploaded in previous submission (GSM87320, GSM87321). The current submission are actual LongSAGE experimental data without any extrapolation from SAGE data.

2010-11-24 | E-GEOD-25463 | biostudies-arrayexpress

Gene expression profiling via LongSAGE in a non-model plant species: A case study in seeds of Brassica napus

Project description:Serial Analysis of Gene Expression (LongSAGE) was applied for gene expression profiling in seeds of oilseed rape (Brassica napus ssp. napus). The usefulness of this technique for detailed expression profiling in a non-model organism was demonstrated for the highly complex, neither fully sequenced nor annotated genome of B. napus by applying a tag-to-gene matching strategy based on Brassica ESTs and the annotated proteome of the closely related model crucifer A. thaliana. Transcripts from 3,094 genes were detected at two time-points of seed development, 23 days and 35 days after pollination (DAP). Differential expression in about 10 % of all matched genes, with a total abundance of 44 %, showed a shift from gene expression involved in diverse developmental processes including cell proliferation and seed coat formation at 23 DAP to more focussed metabolic processes including storage protein accumulation and lipid deposition at 35 DAP. The most abundant transcripts at 23 DAP were coding for diverse protease inhibitor proteins and proteases, including cysteine proteases involved in seed coat formation and a number of lipid transfer proteins involved in embryo pattern formation. At 35 DAP, transcripts encoding napin, cruciferin and oleosin storage proteins were most abundant. Over both time-points, 18.6 % of A. thaliana genes were matched by Brassica ESTs detected by LongSAGE tags in antisense orientation. This suggests a strong involvement of antisense transcript expression in regulatory processes during B. napus seed development. Seeds from 2 developmental stages of B. napus were used to construct 2 LongSAGE libraries, 23 days after pollination (23 DAP) and 35 days after pollination (35 DAP). Biological replicates and confirmation: Cloning of tag-amplified RT-PCR products, Real-time RT-PCR

2009-02-15 | E-GEOD-14313 | biostudies-arrayexpress

Gene expression profiling via LongSAGE in a non-model plant species: A case study in seeds of Brassica napus

2009-02-16 | GSE14313 | GEO

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