Mycobacterium marinum chronic infection of adult zebrafish
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ABSTRACT:
ORGANISM(S): Danio rerio
PROVIDER: GSE14782 | GEO | 2009/06/30
SECONDARY ACCESSION(S): PRJNA112215
REPOSITORIES: GEO
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Project description:Novel high-throughput deep sequencing technology has dramatically changed the way that the functional complexity of transcriptomes can be studied. Here we report on the first use of this technology to gain insight into the wide range of transcriptional alterations that are associated with an infectious disease process. Using Solexa/IlluminaM-bM-^@M-^Ys digital gene expression (DGE) system, a tag-based transcriptome sequencing method, we investigated mycobacterium-induced transcriptome changes in a model vertebrate species, the zebrafish. Our DGE data substantiate recent RNA-seq results from other models indicating a much larger extent of genome transcription than previously thought, and demonstrate that the host response to bacterial infection adds a further degree of complexity to the transcriptome. We obtained a sequencing depth of over 5 million tags per sample with strong correlation between replicates. Tag mapping indicated that mycobacterium-infected adult zebrafish express over 70% of all genes represented in transcript databases. Comparison of our DGE data with a previous multiplatform microarray analysis showed that both types of technologies identified regulation of similar functional groups of genes, more specifically the up-regulation of different classes of immune response genes concomitant with a broad down-regulation of metabolic genes. However, the unbiased nature of DGE analysis provided insights that microarray analysis could not have achieved. As demonstrated here, DGE data are useful for the verification of predicted gene models and allowed us to detect mycobacterium-regulated switching between different transcript isoforms. Moreover, genomic mapping of infection-induced DGE tags revealed novel transcript forms for which any previous EST-based evidence of expression was lacking. Adult male zebrafish were infected by intraperitoneal inoculation with approximately 1x 10-3 M. marinum bacteria. All four infected fish were sacrificed when they showed overt signs of fish tuberculosis, including lethargy, skin ulcers and extensive granuloma formation in organs such as liver and kidney. Histological examination of fish from the same experiments confirmed that the pathology of infected fish corresponded to fish tuberculosis and that no characteristics of the disease were present in the control fish. For DGE analysis RNA samples from the four control adult zebrafish (c1,c2,c3,c4) were pooled, and RNA samples from the four M.marinum-infected adult zebrafish (i1,i2,i3,i4) were pooled. Before pooling the individual RNA samples had been checked by microarray analysis for correlation between biological replicates.
2009-06-29 | E-GEOD-14782 | biostudies-arrayexpress
Project description:Salmonella enterica serovar Typhimurium (S. typhimurium) bacteria cause an inflammatory and lethal infection in zebrafish embryos. To characterize the embryonic innate host response at the transcriptome level, we have extended and validated previous microarray data by Illumina next-generation sequencing analysis. Comparison of tag-based sequencing (DGE or Tag-Seq) with full transcript sequencing (RNA-Seq) showed a strong correlation of sequence read counts per transcript and an overlap of 241 transcripts differentially expressed in response to infection. A slightly lower overlap of 165 transcripts was observed with previous microarray data. Based on the combined sequencing-based and microarray-based transcriptome data we compiled an annotated reference set of infection-responsive genes in zebrafish embryos, encoding transcription factors, signal transduction proteins, cytokines and chemokines, complement factors, proteins involved in apoptosis and proteolysis, proteins with anti-microbial activities, as well as many known or novel proteins not previously linked to the immune response. Furthermore, by comparison of the deep sequencing data of S. typhimurium infection in zebrafish embryos with previous deep sequencing data of Mycobacterium marinum infection in adult zebrafish we derived a common set of innate host defense genes that are expressed both in the absence and presence of a fully developed adaptive immune system and that provide a valuable reference for future studies of host-pathogen interactions using zebrafish infection models. Zebrafish embryos were infected with Salmonella typhimurium (strain SL1027) by microinjection of DsRED-labeled bacteria into the caudal vein close to the urogenital opening after the onset of blood circulation (27 hpf). An equal volume of PBS was injected in the control group. RNA samples were collected at 8 hours post infection (hpi) and samples from triplicate infection experiments were pooled. DGE libraries from the RNA pools (1 M-NM-<g) of Salmonella-infected and control embryos were prepared using the DGE:Tag Profiling for NlaIII Sample Prep kit from Illumina as previously described (Hegedus et al., 2009). The libraries were sequenced in duplicate using 2 (Control 1; Salmonella infected 1) and 3 pmol (Control 2; Salmonella infected 2) of cDNA. Sequencing was performed using the Illumina Genome Analyzer II System (BaseClear B.V., Leiden, The Netherlands) according to the manufacturerM-bM-^@M-^Ys protocols. Image analysis, base calling, extraction of 17 bp tags and tag counting were performed using the Illumina pipeline. Tag counts from duplicate libraries were merged in silico.
2010-10-25 | E-GEOD-22472 | biostudies-arrayexpress
Project description:We report the application of Solexa/Illumina's digital gene expression (DGE) sequencing approaches to investigate inactivated Vibrio harveyi--induced transcriptome changes in Lateolabrax japonicas, a non model vertebrate species. Totally 3.44 and 3.22 million raw tags were measured. Then, gene annotation was performed by tags mapping analysis and the 169,950 non-redundant consensus sequences from RNA-seq based transcriptome analysis were used as reference transcript database. Tag mapping indicated that Vibrio harveyi--challenged adult Lateolabrax japonicas express over 70% of all genes represented in transcript databases. Meanwhile, totally 1224 consensus sequences exhibited significant difference after the bacterial challenge, in which 1183 transcripts can be well annotated, while approximately 41 transcripts have low sequence homology to the existing known sequences in public databases, suggesting that they might be putative novel immune-relevant genes in Lateolabrax japonicus closely related to the immunity for bacterial challenge. Our present study would greatly benefit to give deep insight into the immunogenetics in fish species, and clinical application in fish diseases.
2011-06-13 | GSE21712 | GEO
Project description:We report the application of Solexa/Illumina's digital gene expression (DGE) sequencing approaches to investigate inactivated Vibrio harveyi--induced transcriptome changes in Lateolabrax japonicas, a non model vertebrate species. Totally 3.44 and 3.22 million raw tags were measured. Then, gene annotation was performed by tags mapping analysis and the 169,950 non-redundant consensus sequences from RNA-seq based transcriptome analysis were used as reference transcript database. Tag mapping indicated that Vibrio harveyi--challenged adult Lateolabrax japonicas express over 70% of all genes represented in transcript databases. Meanwhile, totally 1224 consensus sequences exhibited significant difference after the bacterial challenge, in which 1183 transcripts can be well annotated, while approximately 41 transcripts have low sequence homology to the existing known sequences in public databases, suggesting that they might be putative novel immune-relevant genes in Lateolabrax japonicus closely related to the immunity for bacterial challenge. Our present study would greatly benefit to give deep insight into the immunogenetics in fish species, and clinical application in fish diseases. Examination of differentially expressed transcripts in baterial- and mock challenged fish.
2011-06-12 | E-GEOD-21712 | biostudies-arrayexpress
Project description:Salmonella enterica serovar Typhimurium (S. typhimurium) bacteria cause an inflammatory and lethal infection in zebrafish embryos. To characterize the embryonic innate host response at the transcriptome level, we have extended and validated previous microarray data by Illumina next-generation sequencing analysis. Comparison of tag-based sequencing (DGE or Tag-Seq) with full transcript sequencing (RNA-Seq) showed a strong correlation of sequence read counts per transcript and an overlap of 241 transcripts differentially expressed in response to infection. A slightly lower overlap of 165 transcripts was observed with previous microarray data. Based on the combined sequencing-based and microarray-based transcriptome data we compiled an annotated reference set of infection-responsive genes in zebrafish embryos, encoding transcription factors, signal transduction proteins, cytokines and chemokines, complement factors, proteins involved in apoptosis and proteolysis, proteins with anti-microbial activities, as well as many known or novel proteins not previously linked to the immune response. Furthermore, by comparison of the deep sequencing data of S. typhimurium infection in zebrafish embryos with previous deep sequencing data of Mycobacterium marinum infection in adult zebrafish we derived a common set of innate host defense genes that are expressed both in the absence and presence of a fully developed adaptive immune system and that provide a valuable reference for future studies of host-pathogen interactions using zebrafish infection models.
2010-10-26 | GSE22472 | GEO
Project description:Purpose: Development of resistance to tamoxifen is an important clinical issue in the treatment of patients with breast cancer. Tamoxifen resistance may be the result of the acquisition of epigenetic regulation such as DNA methylation within breast cancer cells resulting in changed mRNA expression of genes being pivotal for estrogen dependent growth. Alternatively, tamoxifen resistance may be due to selection of preexisting resistant cells, which may exhibit cancer stem-like characteristics or a combination of the two mechanisms. Methods: To evaluate the contribution of these possible mechanisms to tamoxifen resistance, we applied modified DNA methylation-specific digital karyotyping (MMSDK) and digital gene expression (DGE) in combination with massively parallel sequencing to analyze a well-established tamoxifen resistant cell line model: MCF-7/S0.5 (tamoxifen sensitive parental cell line) and 4 high-dosage tamoxifen selected resistant offspring sublines (MCF-7/TAMR-1, MCF-7/TAMR-4, MCF-7/TAMR-7 and MCF-7/TAMR-8). MMSDK uses BssHII as mapping enzyme (DNA methylation sensitive enzyme). Both MMSDK and DGE use NlaIII and MmeI to produce 20-21 bp tag. The indexed single-end sequencing was performed by Illumina HiSeq 2000 in BGI-Shenzhen. A dynamic programming algorithm-FASTX-Toolkit implemented in Perl was used to trim the adaptor sequence. The trimmed tags were subjected to quality filtering, so that only tags with sequencing quality higher than 30 for more than 80% of the nucleotides were used for subsequent analysis. For MMSDK tag mapping, we generated a simulated reference library, i.e., BssHII reference library, by in silico enzyme digestion of the human genome (hg19, UCSC) regardless of the methylation state. This library was used as reference for subsequent mapping of the tags in the MMSDK analysis. In the DGE analysis, refMrna (hg19, UCSC) was used as reference for mapping cDNA tags. Subsequently, the Burrows–Wheeler Aligner (BWA) procedure for aligning the MMSDK and DGE tags to the simulated BssHII reference library and refMrna reference library, respectively, was applied. Results: MMSDK libraries using BssHII/NlaIII were generated from the parental tamoxifen sensitive subline MCF-7/S0.5 and the 4 TAMR cell lines: TAMR-1, TAMR-4, TAMR-7 and TAMR-8. The 5 indexed MMSDK libraries were sequenced in one lane and 1.38 Gb clean tag data for all 5 cell lines were obtained, with an average sequencing amount of ~270 Mb per library. On average, 59.5 % of the tags with mapping quality ≥ 20 were mapped back to the simulated BssHII/NlaIII reference library. DGE libraries were also generated from MCF-7/S0.5 and the 4 TAMR cell lines. The 5 indexed DGE libraries were sequenced in one lane and obtained 1.71 Gb clean tag data for all 5 cell lines with an average sequencing amount of ~340 Mb per library. On average, 40.8 % with mapping quality ≥ 20 were mapped back to the simulated NlaIII human transcriptome (refMrna reference library). Our present study demonstrates large differences in global gene expression and DNA methylation profiles between parental tamoxifen-sensitive cell line and 4 high-dosage tamoxifen treatment selected resistant sublines. The tamoxifen resistant cell lines exhibited globally higher methylation level than the parental cell line and an inverse relationship between gene expression and DNA methylation in the promoter regions were noticed. High expression of SOX2 and alterations of other SOX gene family members, E2F gene family members and RB-related pocket protein genes as well as highlighted stem cell pathways imply that cancer initiating cells/stem cells are involved in the resistance to tamoxifen.
2014-02-03 | GSE40665 | GEO
Project description:Purpose: Development of resistance to tamoxifen is an important clinical issue in the treatment of patients with breast cancer. Tamoxifen resistance may be the result of the acquisition of epigenetic regulation such as DNA methylation within breast cancer cells resulting in changed mRNA expression of genes being pivotal for estrogen dependent growth. Alternatively, tamoxifen resistance may be due to selection of preexisting resistant cells, which may exhibit cancer stem-like characteristics or a combination of the two mechanisms. Methods: To evaluate the contribution of these possible mechanisms to tamoxifen resistance, we applied modified DNA methylation-specific digital karyotyping (MMSDK) and digital gene expression (DGE) in combination with massively parallel sequencing to analyze a well-established tamoxifen resistant cell line model: MCF-7/S0.5 (tamoxifen sensitive parental cell line) and 4 high-dosage tamoxifen selected resistant offspring sublines (MCF-7/TAMR-1, MCF-7/TAMR-4, MCF-7/TAMR-7 and MCF-7/TAMR-8). MMSDK uses BssHII as mapping enzyme (DNA methylation sensitive enzyme). Both MMSDK and DGE use NlaIII and MmeI to produce 20-21 bp tag. The indexed single-end sequencing was performed by Illumina HiSeq 2000 in BGI-Shenzhen. A dynamic programming algorithm-FASTX-Toolkit implemented in Perl was used to trim the adaptor sequence. The trimmed tags were subjected to quality filtering, so that only tags with sequencing quality higher than 30 for more than 80% of the nucleotides were used for subsequent analysis. For MMSDK tag mapping, we generated a simulated reference library, i.e., BssHII reference library, by in silico enzyme digestion of the human genome (hg19, UCSC) regardless of the methylation state. This library was used as reference for subsequent mapping of the tags in the MMSDK analysis. In the DGE analysis, refMrna (hg19, UCSC) was used as reference for mapping cDNA tags. Subsequently, the BurrowsM-bM-^@M-^SWheeler Aligner (BWA) procedure for aligning the MMSDK and DGE tags to the simulated BssHII reference library and refMrna reference library, respectively, was applied. Results: MMSDK libraries using BssHII/NlaIII were generated from the parental tamoxifen sensitive subline MCF-7/S0.5 and the 4 TAMR cell lines: TAMR-1, TAMR-4, TAMR-7 and TAMR-8. The 5 indexed MMSDK libraries were sequenced in one lane and 1.38 Gb clean tag data for all 5 cell lines were obtained, with an average sequencing amount of ~270 Mb per library. On average, 59.5 % of the tags with mapping quality M-bM-^IM-% 20 were mapped back to the simulated BssHII/NlaIII reference library. DGE libraries were also generated from MCF-7/S0.5 and the 4 TAMR cell lines. The 5 indexed DGE libraries were sequenced in one lane and obtained 1.71 Gb clean tag data for all 5 cell lines with an average sequencing amount of ~340 Mb per library. On average, 40.8 % with mapping quality M-bM-^IM-% 20 were mapped back to the simulated NlaIII human transcriptome (refMrna reference library). Our present study demonstrates large differences in global gene expression and DNA methylation profiles between parental tamoxifen-sensitive cell line and 4 high-dosage tamoxifen treatment selected resistant sublines. The tamoxifen resistant cell lines exhibited globally higher methylation level than the parental cell line and an inverse relationship between gene expression and DNA methylation in the promoter regions were noticed. High expression of SOX2 and alterations of other SOX gene family members, E2F gene family members and RB-related pocket protein genes as well as highlighted stem cell pathways imply that cancer initiating cells/stem cells are involved in the resistance to tamoxifen. DNA methylation and mRNA expression profiles from tamoxifen sensitive parental cell line MCF-7/S0.5 and 4 high dosage of tamoxifen selected resistant offspring sublines (MCF-7/TAMR-1, MCF-7/TAMR-4, MCF-7/TAMR-7 and MCF-7/TAMR-8) were analyzed by MMSDK and DGE methods, respectively, in combination of massively parallel sequencing, using Illumina HiSeq 2000
2014-02-03 | E-GEOD-40665 | biostudies-arrayexpress
Project description:The Solexa/Illumina’s digital gene expression (DGE) system was used to gain insight into the broad range of transcriptional responses during the vegetative growth, sclerotial development, myceliogenic germination, carpogenic germination, apothecium formation (stipe) and infection of Sclerotinia sclerotiorum. We obtained a sequencing depth of approximately 3.3 million clean tags per cDNA library. Tag mapping indicated that these six cDNA libraries in total represented more than 66.7% of all of the genes presented in the predicted transcript databases of the Broad Institute. Thouthands of differentially expressed genes were indentified during the various developmental stages compared to the vegetative growth stage. Our results could increase and deepen the understanding of the vegetative and reproductive development as well as the infection of S. sclerotiorum
2016-05-19 | GSE65301 | GEO
Project description:Background: A comprehensive transcriptome survey, or "gene atlas", provides information essential for a complete understanding of the genomic biology of an organism. We present an atlas of RNA abundance for 92 adult, juvenile and fetal cattle tissues and 3 cattle cell lines. Results: The Bovine Gene Atlas was generated from 7.2 million unique digital gene expression tag sequences (300.2 million total raw tag sequences), from which 1.59 million unique tag sequences were identified that mapped to the bovine genome accounting for 85% of the total raw tag abundance. Filtering these tags yielded 87,764 unique tag sequences that unambiguously mapped to 16,517 annotated protein-coding loci in the genome accounting for 45% of the total raw tag abundance. Clustering of tissues based on tag abundance profiles generally confirmed ontology classification based on anatomy. There were 5,429 constitutively expressed loci and 3,445 constitutively expressed unique tag sequences mapping outside annotated gene boundaries that represent a resource for enhancing current gene models. Physical measures such as inferred transcript length or antisense tag abundance identified tissues with atypical transcriptional tag profiles. We report for the first time the tissue specific variation in the proportion of mitochondrial transcriptional tag abundance. The Bovine Gene Atlas can be examined at http://www.agbase.msstate.edu/bovineatlas . Conclusions: The Bovine Gene Atlas is the deepest and broadest transcriptome survey of any livestock genome to date. Commonalities and variation in sense and antisense transcript tag profiles identified in different tissues facilitate the examination of the relationship between gene expression, tissue, and gene function.
2010-09-29 | GSE21544 | GEO
Project description:Purpose: the technology of Solexa/Illumina (RNA-seq) is an attractive alternative to the transcriptome sequencing. The goals of this study are to investigate transcriptional changes in replanted R. glutinosa leaves and identify genes responding to the disease. Methods:Totally 6.01and 6.15 million raw tags were measured from leaves of the first year planted (L1) and the second year replanted R. glutinosa (L2) at the tuberous root expansion stage, respectively. mRNA profiles of leaves of the first year planted (L1) and the second year replanted R. glutinosa (L2) at the tuberous root expansion stage, were generated by deep sequencing (Illumina HiSeq™ 2000 system). qRT–PCR validation was performed using SYBR Green assays. Results: we obtained a total of 6.01 and 6.15 million total tags including 377,200 and 361,659 distinct tags from the L1 and L2 samples, respectively. Removal of low quality tags, 161,298 and 149,290 distinct clean tags were remained.With reference to the 94,544 non-redundant consensus sequences defined by the RNA-seq transcriptomic procedure, 60,574 genes had the diagnostic CATG site, which were taken as reference distinct sequences for DGE analysis. 47,458 of the L1 tag library and 42,247 of the L2 tag library were perfectly matched the reference sequences. we screened differentially expressed genes in the L1 and L2 libraries by digital gene expression (DGE) technique. Finally, a set of 1,954 genes may be in differential expression of L2. By bioinformatics and qRT-PCR, the 117 most strongly differentially expressed ones were considered to be prime candidates for responsible for replanting disease. Conclusions: The study provides an important resource for further investigating the cause of replanting disease and developing the methods to control or subtract its injury.
2015-12-31 | GSE54620 | GEO