Filters
Technology
Platform
Bos taurus
6 Downloadable Samples
Illumina HiSeq 2000
Description
Bovine papillomavirus (BPV) is the causative agent of papillomatosis in cattle. The disease causes cutaneous and mucosal lesions that can be minimized or lead to the appearance of malignant tumors. This study aims to identify possible molecular mechanisms that are behind the pathological processes associated with bovine papillomatosis through the identification of genes related to the development of the lesions. For this, next-generation RNA sequencing was used to assess differentially expressed genes in infected by BPV and non-infected bovines. Three animals with papillomatosis lesion and three without papillomatosis lesion were studied. The Galaxy platform was used to analyze the data generated by the sequencing. The Illumina output files were converted to FASTQ format. Quality evaluation was performed using FastQC and the sequence quality cut was performed using Trimmomatic. TopHat and Bowtie were used to map and align the reads with the reference genome. The abundance of the expressed genes was verified using Cuffilinks. Cuffdiff was used for differential expression analysis. Functional annotation of the differentially expressed genes was performed using Gene Ontology (GO) databases. RNA-sequencing generated a total of 121,722,238 of reads. In the gene expression analysis, a total of 13,421 genes expressed were identified and of these 1343 were differentially expressed. The functional annotation of differentially significant genes showed that many genes presented functions or they were related to metabolic pathways associated with the progression of papillomatosis lesions and cancer development in cattle. Although more studies are needed, this is the first study that focused on a large-scale evaluation of gene expression associated with the BPV infection, which is important to identify possible mechanisms regulated by the host genes that are necessary the development of the lesion Overall design: Analysis of three BPV infected and three BPV non-infected samples
Publication Title
Comparative transcriptomic analysis of bovine papillomatosis.
Sample Metadata Fields
Age, Specimen part, Treatment, Subject
View Samples- Oryza sativa
- 14 Downloadable Samples
Affymetrix Rice Genome Array (rice)
Description
Controversy regarding genetically modified (GM) plants and their potential impact on human health contrasts with the tacit acceptance
Publication Title
Microarray analyses reveal that plant mutagenesis may induce more transcriptomic changes than transgene insertion.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 12 Downloadable Samples
- Affymetrix Mouse Gene 2.0 ST Array (mogene20st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
MGAT1 and Complex N-Glycans Regulate ERK Signaling During Spermatogenesis.
Sample Metadata Fields
Age, Specimen part
View Samples- Mus musculus
- 6 Downloadable Samples
- Affymetrix Mouse Gene 2.0 ST Array (mogene20st)
Description
Loss of Mgat1 in spermatogonia was investigated in germ cells from 23 day males. Gene expression changes induced by deletion of Mgat1 were determined using the Affymetrix GeneChip Mouse Gene 2.0 ST Array.
Publication Title
MGAT1 and Complex N-Glycans Regulate ERK Signaling During Spermatogenesis.
Sample Metadata Fields
Age, Specimen part
View Samples- Mus musculus
- 6 Downloadable Samples
Affymetrix Mouse Gene 2.0 ST Array (mogene20st)
Description
Mechanistic insights into MGAT1 loss during spermatogenesis were investigated in germ cells from 22 day males. Gene expression changes induced by deletion of Mgat 1in spermatogonia were determined using the Affymetrix GeneChip Whole Transcript Plus Reagent Kit.
Publication Title
MGAT1 and Complex N-Glycans Regulate ERK Signaling During Spermatogenesis.
Sample Metadata Fields
Age, Specimen part
View Samples- Oryza sativa
- 44 Downloadable Samples
- Affymetrix Rice (US) Gene 1.0 ST Array (rusgene11st)
Description
The approval of genetically modified (GM) crops is preceded by years of intensive research to demonstrate safety to humans and environment. We recently showed that in vitro culture stress is the major factor influencing proteomic differences of GM vs. non-GM plants. This made us question the number of generations needed to erase such memory. We also wondered about the relevance of alterations promoted by transgenesis as compared to environment-induced ones.
Publication Title
Environmental stress is the major cause of transcriptomic and proteomic changes in GM and non-GM plants.
Sample Metadata Fields
Specimen part
View Samples- Saccharomyces cerevisiae
- 14 Downloadable Samples
- Affymetrix Yeast Genome 2.0 Array (yeast2)
Description
Arsenic metalloid is a double-edge sword. On the one hand it is a very toxic and powerful carcinogen, and on the other it has been successfully used in the treatment of acute promyelocytic leukemia. In order to prevent the deleterious effects caused by arsenic compounds, almost all living organisms have developed mechanisms to eliminate it. In this study genome-wide response of S. cerevisiae to arsenic shows that this metal interferes with genes involved in the iron homeostasis including those encoding proteins that function in iron uptake, incorporation into FeS clusters, and more. In addition our data indicate that Yap1 transcriptionally controls the iron homeostasis regulator AFT2 as well as its direct target, MRS4. Most importantly in response to arsenate exposure Yap1 strongly regulates the expression of several genes involved in the Fe-S proteins biosynthesis, namely NBP35 and YFH1. Interestingly mRNA levels encoding Fet3, Ferro-O2-oxidoreductase required for high-affinity iron uptake, are drastically destabilized upon arsenic exposure. Such destabilization is due to the 5 to 3 exonuclease Xrn1 localized in the P Bodies. Moreover FET3 mRNA decay is not mediated by Cth2 and is independent on the formation of ROS responsible for the toxic effects of arsenic compounds. Strikingly, in presence of arsenate fet3 mutant shows resistance over the wild-type which leads us to suggest that Fet3 has a role in arsenic toxicity. Unexpectedly arsenic treatment seems to activate the non-reductive iron uptake in order to maintain the cellular iron homeostasis. Furthermore our genetic, biochemical, and physiological analysis demonstrate that aft1 mutant is sensitive to arsenic compounds and such phenotype is reversible upon addition of iron. We also show that arsenic exposure induces iron deficiency in aft1 mutant. In conclusion this work shows for the first time that arsenic, a chemotherapy drug used to treat a specific type of acute promyelocytic leukemia (APL), disrupts iron homeostasis and our results suggest that this disruption is independent on ROS generation. Finally we provide preliminary data confirming that such disruption also takes place in mammalian cells, an observation that can be very relevant in term of clinical applications.
Publication Title
Arsenic stress elicits cytosolic Ca(2+) bursts and Crz1 activation in Saccharomyces cerevisiae.
Sample Metadata Fields
Time
View Samples- Caenorhabditis elegans
- 4 Downloadable Samples
- Illumina Genome Analyzer II
Description
High-throughput pyrosequencing of endogenous small RNAs from >95% male enriched populations of alg-3(tm1155);alg-4(ok1041);fog-2(q71) and fog-2(q71) worms as well as purified spermatids from fem-3(q20) adult worms. Gametogenesis is thermosensitive in numerous metazoa ranging from worms to man. In C. elegans a variety of germ-line nuage- (P-granule) -associated RNA-binding proteins including the Piwi-clade Argonaute, PRG-1, have been implicated in temperature-dependent fertility. Here, we describe the role of two AGO-class paralogs, alg-3 (T22B3.2) and alg-4 (ZK757.3) in promoting male fertility at elevated temperatures. A rescuing GFP::alg-3 transgene is localized in P-granules beginning at the late pachytene stage of male gametogenesis. alg-3/4 double mutants lack a subgroup of small RNAs, named 26G-RNAs, which target and appear to down-regulate numerous spermatogenesis-expressed mRNAs. These findings add to a growing number of AGO pathways required for temperature-dependent fertility in C. elegans and support a model in which AGOs and their small RNA co-factors function to promote robustness in gene-expression networks. Overall design: 3 samples examined. Small RNAs from alg-3(tm1155);alg-4(ok1041);fog-2(q71) males and fog-2(q71) males. Small RNAs from spermatids isolated from ferm-3(q20) worms.
Publication Title
Argonautes ALG-3 and ALG-4 are required for spermatogenesis-specific 26G-RNAs and thermotolerant sperm in Caenorhabditis elegans.
Sample Metadata Fields
Cell line, Subject
View Samples
SRP001455- Caenorhabditis elegans
- 20 Downloadable Samples
- Illumina Genome Analyzer
Description
High throughput sequencing to derive function of cde-1 in endogenous RNAi in C. elegans Overall design: Small RNAs were cloned from C. elegans adults, following removal of tri-phosphate groups from 5'' end. Sequencing was performed using the Illumina 1G platform.
Publication Title
CDE-1 affects chromosome segregation through uridylation of CSR-1-bound siRNAs.
Sample Metadata Fields
Specimen part, Subject
View Samples- Mus musculus
- 3 Downloadable Samples
- Illumina HiSeq 4000
Description
We examined the patterns of gene expression of mouse thymic leukemias extracted from Mb1-CreDPB mice by RNA sequencing (RNA-seq). Our goal was to integrate RNA-seq data with whole-exome sequencing (WES) to determined secondary driver mutations of leukemogenesis in the absence of Spi-B and PU.1, Overall design: Thymic leukemias were isolated from diseased Mb1-CreDPB mice. In summary, thymuses were homogenized and red blood cells were removed with ACK buffer, washed with PBS and counted. The amount of 8 million cells were pelleted an RNA was extracted using Rneasy RNA Isolation Kit (Qiagen). RNA was quantified and the purity was checked by spectophotrometer. RNA was sent to subsequently sequencing procedures.
Publication Title
Driver mutations in Janus kinases in a mouse model of B-cell leukemia induced by deletion of PU.1 and Spi-B.
Sample Metadata Fields
Disease, Disease stage, Cell line, Subject
View Samples