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SRP029448
Caenorhabditis elegans
177 Downloadable Samples
Illumina HiSeq 2000
Description
The concept of germ layers has been one of the foremost organizing principles in developmental biology, classification, systematics and evolution for 150 years. Of the three germ layers, the mesoderm is found in bilaterian animals but is absent in species in the phyla Cnidaria and Ctenophora, which has been taken as evidence that the mesoderm was the final germ layer to evolve. The origin of the ectoderm and endoderm germ layers, however, remains unclear, with models supporting the antecedence of each as well as a simultaneous origin. Here we determine the temporal and spatial components of gene expression spanning embryonic development for all Caenorhabditis elegans genes and use it to determine the evolutionary ages of the germ layers. The gene expression program of the mesoderm is induced after those of the ectoderm and endoderm, thus making it the last germ layer both to evolve and to develop. Strikingly, the C. elegans endoderm and ectoderm expression programs do not co-induce; rather the endoderm activates earlier, and this is also observed in the expression of endoderm orthologues during the embryology of the frog Xenopus tropicalis, the sea anemone Nematostella vectensis and the sponge Amphimedon queenslandica. Querying the phylogenetic ages of specifically expressed genes reveals that the endoderm comprises older genes. Taken together, we propose that the endoderm program dates back to the origin of multicellularity, whereas the ectoderm originated as a secondary germ layer freed from ancestral feeding functions. Overall design: Two temporal assays of Caenorhabditis elegans embryonic development, starting at the zygote: (a) Embryos collected at fixed (~10 minute) time intervals. (b) Embryo segregates, up to five lines of blastomeres, isolated in reference to mitotic events. There were 184 samples in total, representing 100 distinct data points (50 in each assay).
Publication Title
Spatiotemporal transcriptomics reveals the evolutionary history of the endoderm germ layer.
Sample Metadata Fields
Subject, Time
View Samples- Homo sapiens
- 116 Downloadable Samples
- Illumina HiSeq 2000
Description
Find the casual relationship between gene expression network and cellular phenotype at single cell resolution. We collected donated human pre-implatation embryos, and the embryonic stem cells derived from them, isolate individual cells, prepared single cell cDNAs, and sequenced them by HiSeq2000. Then we analyzed the expression of known RefSeq genes. Overall design: We get transcriptome of 124 individual cells from human pre-implantation embryos and human embryonic stem cells by applying single cell RNA-seq technique we recently developed[1][2][3][4]. We did in-depth bioinformatic analysis to these data and found very dynamic expression of protein-coding genes. [1] Tang, F. et al. (2010a) Tracing the Derivation of Embryonic Stem Cells from the Inner Cell Mass by Single-Cell RNA-Seq Analysis. Cell Stem Cell 6, 468-478. [2] Tang, F. et al. (2010b) RNA-Seq analysis to capture the transcriptome landscape of a single cell. Nat Protocols 5, 516-535. [3] Tang, F. et al. (2009) mRNA-Seq whole-transcriptome analysis of a single cell. Nat Meth 6, 377-382. [4] Tang, F. et al. (2011) Development and applications of single-cell transcriptome analysis. Nat Meth 8, S6-S11.
Publication Title
Single-cell RNA-Seq profiling of human preimplantation embryos and embryonic stem cells.
Sample Metadata Fields
Specimen part, Subject
View Samples- Mus musculus
- 384 Downloadable Samples
- Illumina HiSeq 2500
Description
The interaction between a pathogen and a host is a highly dynamic process in which both agents activate complex programs. Here, we introduce a single-cell RNA-Seq method (scDual-Seq) that simultaneously captures both host and pathogen transcriptomes and use it to study the process of infection of individual mouse macrophages with the intracellular pathogen Salmonella typhimurium. Among the infected macrophages, we found three subpopulations and we show evidence for a linear progression through these subpopulations, supporting a model in which these three states correspond to consecutive stages of infection. Overall design: 96 single cells in 4 time point of infection (0,2.5,4,8 hours after infection)
Publication Title
scDual-Seq: mapping the gene regulatory program of Salmonella infection by host and pathogen single-cell RNA-sequencing.
Sample Metadata Fields
Cell line, Subject, Time
View Samples- Mus musculus
- 96 Downloadable Samples
- Illumina HiSeq 2500
Description
The interaction between a pathogen and a host is a highly dynamic process in which both agents activate complex programs. Here, we introduce a single-cell RNA-Seq method (scDual-Seq) that simultaneously captures both host and pathogen transcriptomes and use it to study the process of infection of individual mouse macrophages with the intracellular pathogen Salmonella typhimurium. Among the infected macrophages, we found three subpopulations and we show evidence for a linear progression through these subpopulations, supporting a model in which these three states correspond to consecutive stages of infection. Overall design: 40 single cells, 6 ten cells bulk, 2 hundred cells bulk, in two time point of infection (0,4 hours after infection)
Publication Title
scDual-Seq: mapping the gene regulatory program of Salmonella infection by host and pathogen single-cell RNA-sequencing.
Sample Metadata Fields
Cell line, Subject, Time
View Samples- Mus musculus
- 5 Downloadable Samples
- Illumina HiSeq 2500
Description
The interaction between a pathogen and a host is a highly dynamic process in which both agents activate complex programs. Here, we introduce a single-cell RNA-Seq method (scDual-Seq) that simultaneously captures both host and pathogen transcriptomes and use it to study the process of infection of individual mouse macrophages with the intracellular pathogen Salmonella typhimurium. Among the infected macrophages, we found three subpopulations and we show evidence for a linear progression through these subpopulations, supporting a model in which these three states correspond to consecutive stages of infection. Overall design: a dilution series of mouse and salmonella RNA Please note that the samples are identical to GSM2729237-GSM2729241 and the RNA was extracted simultaneously. The only difference between them is the different protocol by which the libraries were made for sequencing (i.e. CEL-Seq2 or scDual-Seq).
Publication Title
scDual-Seq: mapping the gene regulatory program of Salmonella infection by host and pathogen single-cell RNA-sequencing.
Sample Metadata Fields
Specimen part, Subject
View Samples- Mus musculus
- 2 Downloadable Samples
Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
We identified PDK4 as a gene with adaptive transcriptional response to chemical stress. Although PDK4 is an energy resource regulator induced by starvation, expression of other fasting-inducible genes was unaffected, indicating additional physiological role of PDK4 for liver adaptation to the chemical stress.
Publication Title
Adaptive gene regulation of pyruvate dehydrogenase kinase isoenzyme 4 in hepatotoxic chemical-induced liver injury and its stimulatory potential for DNA repair and cell proliferation.
Sample Metadata Fields
Age, Specimen part
View Samples- Mus musculus
- 18 Downloadable Samples
- Illumina HiSeq 2000
Description
Total RNA was extracted using TRI® Reagent (Sigma). cDNA was synthesized by RevertAid™ First Strand cDNA Synthesis Kit with Oligo dT primers (K1622, Fermentas) following manufacturer’s recommendations. PCR reactions were carried out on a DNAEngine® Thermal Cycler (PTC-0200G, Bio-Rad) in 25 µl reaction volume containing 1 µl cDNA, 200 nM primer pairs and components of TaKaRa Taq™ kit (R001A, Takara). All samples were analyzed in triplicate RT-qPCR.mRNAs were extracted using biotinylated poly(dT) oligo, followed by further removing of contaminated rRNA using RiboMinus Transcriptome Isolation Kit (K1550-02, Invitrogen). Then mRNAs were fragmented into 100-200nt length and subjected to immunoprecipitation with m6A specific antibody.The libraries were sequenced using HiSeq2000 (Illumina) in single-read mode, creating reads with a length of 101 bp. Sequencing chemistry v2 (Illumina) was used and samples were multiplexed in two samples per lane. Overall design: discovery of the binding motif of m6a in normal, FTO deficient and five stages of adipogensis (D-2/0/2/5/10) in Mouse embryo ?broblast 3T3-L1 pre-adipocytes
Publication Title
FTO-dependent demethylation of N6-methyladenosine regulates mRNA splicing and is required for adipogenesis.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 6 Downloadable Samples
- Illumina HiSeq 2000
Description
RNA was isolated from control and FTO,METTL3 deficient mouse 3T3-L1 cells using the TRIzol (Invitrogen) reagent by following the company manual.Total RNA was isolated from transiently transfected cells with TRI® Reagent (Sigma). mRNA was extracted using biotinylated poly(dT) oligo, followed by further removing of contaminated rRNA using RiboMinus Transcriptome Isolation Kit (K1550-02, Invitrogen). mRNA quality was analyzed by NanoDrop. Approximately 2.5 µg of total RNA was then used for library preparation using a TruSeq™ RNA Sample Prep Kit v2 (Illumina, San Diego, CA, USA) according to the manufacturer’s protocol.The libraries were sequenced using HiSeq2000 (Illumina) in single-read mode, creating reads with a length of 101 bp. Sequencing chemistry v2 (Illumina) was used and samples were multiplexed in two samples per lane. Overall design: Examination of gene expressive levels in normal and FTO, METTL3 deficient mouse 3T3-L1 cells
Publication Title
FTO-dependent demethylation of N6-methyladenosine regulates mRNA splicing and is required for adipogenesis.
Sample Metadata Fields
No sample metadata fields
View Samples- Caenorhabditis elegans
- 74 Downloadable Samples
- Affymetrix C. elegans Genome Array (celegans)
Description
Biological networks are inherently modular, yet little is known about how modules are assembled to enable coordinated and complex functions. We used RNAi and time-series, whole-genome microarray analyses to systematically perturb and characterize components of a C. elegans lineage-specific transcriptional regulatory network. These data are supported by select reporter gene analyses and comprehensive yeast-one-hybrid and promoter sequence analyses. Based on these results we define and characterize two modules composed of muscle- and epidermal-specifying transcription factors that function together within a single cell lineage to robustly specify multiple cell types. The expression of these two modules, although positively regulated by a common factor, is reliably segregated among daughter cells. Our analyses indicate that these modules repress each other, and we propose that this cross-inhibition coupled with their relative time of induction function to enhance the initial asymmetry in their expression patterns, thus leading to the observed invariant gene expression patterns and cell lineage. The coupling of asynchronous and topologically distinct modules may be a general principle of module assembly that functions to potentiate genetic switches.
Publication Title
Pairing of competitive and topologically distinct regulatory modules enhances patterned gene expression.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 3 Downloadable Samples
- Illumina Genome Analyzer II
Description
An in-depth analysis of miRNomes in 3 human myeloid leukemia cell lines was carried out to comprehensively identify miRNAs that distinguish acute and chronic myeloid leukemias and relate to myeloid cell differentiation. Overall design: Characterization the miRNomes in 3 myeloid leukemia cell lines.
Publication Title
Characterization of miRNomes in acute and chronic myeloid leukemia cell lines.
Sample Metadata Fields
Specimen part, Disease, Cell line, Subject
View Samples