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accession-icon SRP049815
RNA-seq analysis of differences in gene expression between dorsal and ventral MEC
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Neural circuits in the medial entorhinal cortex (MEC) encode an animal’s position and orientation in space. Within the MEC spatial representations, including grid and directional firing fields, have a laminar and dorsoventral organization that corresponds to a similar topography of neuronal connectivity and cellular properties. Yet, in part due to the challenges of integrating anatomical data at the resolution of cortical layers and borders, we know little about the molecular components underlying this organization. To address this we develop a new computational pipeline for high-throughput analysis and comparison of in situ hybridization (ISH) images at laminar resolution. We apply this pipeline to ISH data for over 16,000 genes in the Allen Brain Atlas and validate our analysis with RNA sequencing of MEC tissue from adult mice. We find that differential gene expression delineates the borders of the MEC with neighboring brain structures and reveals its laminar and dorsoventral organization. Our analysis identifies ion channel-, cell adhesion- and synapse-related genes as candidates for functional differentiation of MEC layers and for encoding of spatial information at different scales along the dorsoventral axis of the MEC. Our results support the hypothesis that differences in gene expression contribute to functional specialization of superficial layers of the MEC and dorsoventral organization of the scale of spatial representations. Overall design: Examination of dorsal and ventral regions from 4 replicate samples each containing pooled data from 3-4 mice

Publication Title

Laminar and dorsoventral molecular organization of the medial entorhinal cortex revealed by large-scale anatomical analysis of gene expression.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP031474
Systematic discovery of spleen miRNAs involved in host response to avian pathogenic Escherichia coli (APEC) by deep sequencing and integrated analysis
  • organism-icon Gallus gallus
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

Avian pathogenic Escherichia coli (APEC) is considered one of the most common infectious bacterial diseases resulting in significant economic losses in poultry industry worldwide. In order to investigate the association between host immune resistance and miRNA expression in the pathogenic process induced by APEC, miRNA expression profiles in broilers spleen were performed by Solexa deep sequencing from three different treatment groups including non-challenged (NC), challenged-mild pathology (MD), and challenged-severe pathology (SV).In total, 3 462 706, 3 586 689, and 3 591 027 clean reads were obtained for NC, MD, and SV, respectively. After comparing the miRNA expression patterns, 27 differentially expressed miRNAs were identified among the three response groups, which included 13 miRNAs between NC and MD, 17 between NC and SV, and 14 between MD and SV. For these miRNAs, different expression in MD and SV suggested they may have resistance activity in APEC infection. Through integrated analysis of miRNA and mRNA expression patterns, 43 negative pairs between miRNA and mRNA (r < -0.80) were obtained. 4 miRNAs were validated to be significant negatively correlated to targets by quantitative real time PCR: gga-miR-21 (CLEC3B and GGTLA1), gga-miR-429 (TMEFF2, CDC20, SHISA2 and NOX4), gga-miR-146b (LAT2 and WNK1), and gga-miR-215 (C7 and ASL2). Additionally, the expression of gga-miR-21 and gga-miR-146b was significantly up-regulated by LPS induced in HD11 macrophage cell. In contrast, gga-miR-429 has no significant change. In summary, we present the first report that characterized the miRNA profiles of chicken spleen in response to APEC infection, and identified several candidate miRNAs which might accelerate host immune response through down-regulating their specific target genes. Overall design: Through the intra-air sac route into the left thoracic air sac, 240 non-vaccinated males at 4 weeks of age were challenged with 0.1 ml APEC O1 (10^8 colony forming units) and another 120 non-vaccinated males were non-challenged but treated with 0.1 ml PBS. Detailed information on the APEC O1 strain and challenge process was described by previously described study. Necropsy was performed at 1 day post challenge, and a summarized lesion ranging from 0 to 7 was determined for each APEC-challenged bird. Birds with lesions scoring 0-2 were regarded as mild infection, and those scoring 4-7 were designated as severe infection. The mild and severe pathology meant that birds were resistant and susceptible to APEC infection, respectively. Then, spleens from three groups, consisting of non-challenged, challenged-mild pathology and challenged-severe pathology were subjected to Solexa deep sequencing to investigate the dynamics of chicken miRNA expression.

Publication Title

Novel MicroRNA Involved in Host Response to Avian Pathogenic Escherichia coli Identified by Deep Sequencing and Integration Analysis.

Sample Metadata Fields

Sex, Age, Specimen part, Subject

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accession-icon GSE21689
MozAtlas: A comprehensive gene expression atlas of sex- and tissue-specificity in the malaria vector, Anopheles gambiae.
  • organism-icon Anopheles gambiae
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Plasmodium/Anopheles Genome Array (plasmodiumanopheles)

Description

Background.

Publication Title

A comprehensive gene expression atlas of sex- and tissue-specificity in the malaria vector, Anopheles gambiae.

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP130955
Response of HEK293 Freestyle cells to 36 h of culture in Zn(II)-depleted Freestyle medium
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We describe the preparation, evaluation, and application of an S100A12 protein-conjugated solid support, hereafter the “A12-resin,” that can remove 99% of Zn(II) from complex biological solutions without significantly perturbing the concentrations of other metal ions. The A12-resin can be applied to selectively deplete Zn(II) from diverse tissue culture media and from other biological fluids including human sera. To further demonstrate the utility of this approach, we investigated metabolic, transcriptomic, and metallomic responses of HEK293T cells cultured in medium depleted of Zn(II) using S100A12. Our data indicate that dividing cells can maintain a constant pool of free Zn(II), even under conditions of severe Zn(II) deprivation. We expect that the A12-resin will facilitate interrogation of disrupted Zn(II) homeostasis in biological settings, uncovering novel roles for Zn(II) in biology. Overall design: Defining the response of a cell line to Zn(II) starvation

Publication Title

A Method for Selective Depletion of Zn(II) Ions from Complex Biological Media and Evaluation of Cellular Consequences of Zn(II) Deficiency.

Sample Metadata Fields

Cell line, Subject

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accession-icon SRP096554
Dehydration and Fixed-Carbon Starvation of Brassinosteroid related mutants in Arabidopsis
  • organism-icon Arabidopsis thaliana
  • sample-icon 53 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We report global gene expression profilies of Brassinosteroid related Arabidopsis mutants in response to dehydration and fixed-carbon starvation stresses by RNA-seq Overall design: Arabidopsis plants of listed genotypes were grown for 4 weeks under long day (16 hour light) conditions before being subjected to control, 4 hour dehydration, or 5 day fixed carbon starvation treatments.

Publication Title

Arabidopsis WRKY46, WRKY54, and WRKY70 Transcription Factors Are Involved in Brassinosteroid-Regulated Plant Growth and Drought Responses.

Sample Metadata Fields

Specimen part, Treatment, Subject

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accession-icon SRP159013
Gene exression in single T cells across division states.
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

Purpose: To compare diversity of primary human CD8+ T cells that have divided 0, 1, or 2 times on day 3 of ex vivo expansion from naïve resting state. Methods: Naïve T cells were enriched from human peripheral blood monoluclear cells (PBMCs), labeled with CFSE dye, and expanded for 3 days using rapid expansion protocol (Li, Y. & Kurlander, R.J. Journal of Translational Medicine, 2010). On day 3, 10,000 single live CFSE+ CD8+ T cells from each of divisions 0, 1, and 2 were sorted and immediately processed using 10X Genomics single-cell RNA-sequencing platform. Results: We found that undivided cells display the highest gene expression diversity. Using 1,000 most variably expressed genes, we created a force-directed layout, representing a phenotypic map of cellular differentiation across division states. To understand the basis of T-cell diversity, we defined and quantified regions of interest on this map based on diffusion pseudo-time (DPT), a metric of cell differentiation state. Finally, we examined gene expression in cells from each region and found that undivided cells acquire gene expression associated with effector cell function, while remaining cells go on to grow and differentiate. Conclusions: Our study provides insights into T-cell differentiation within an ex vivo expansion system for cancer immunotherapy applications. Overall design: A total of 4,060 cells (division 0: n = 552 cells, division 1: n = 1,777 cells, division23: n = 1,731 cells) were sequenced to an average of 52,040 post-normalization reads per cell capturing a median of 18,770 unique molecular identifier (UMI) counts per cell mapping to 3,544 unique genes per cell.

Publication Title

Proliferation tracing with single-cell mass cytometry optimizes generation of stem cell memory-like T cells.

Sample Metadata Fields

Subject

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accession-icon GSE32220
Cell-type independent MYC target genes reveal a primordial signature involved in biomass accumulation
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st), Agilent-014850 Whole Human Genome Microarray 4x44K G4112F (Feature Number version)

Description

The functions of key oncogenic transcription factors independent of context have not been fully delineated despite our richer understanding of the genetic alterations in human cancers. The MYC oncogene, which produces the Myc transcription factor, is frequently altered in human cancer and is a major regulatory hub for many cancers. In this regard, we sought to unravel the primordial signature of Myc function by using high-throughput genomic approaches to identify the cell-type independent core Myc target gene signature. Using a model of human B lymphoma cells bearing inducible MYC, we identified a stringent set of direct Myc target genes via chromatin immunoprecipitation (ChIP), global nuclear run-on assay, and changes in mRNA levels. We also identified direct Myc targets in human embryonic stem cells (ESCs). We further document that a Myc core signature (MCS) set of target genes is shared in mouse and human ESCs as well as in four other human cancer cell types. Remarkably, the expression of the MCS correlates with MYC expression in a cell-type independent manner across 8,129 microarray samples, which include 312 cell and tissue types. Furthermore, the expression of the MCS is elevated in vivo in Em-Myc transgenic murine lymphoma cells as compared with premalignant or normal B lymphocytes. Expression of the MCS in human B cell lymphomas, acute leukemia, lung cancers or Ewing sarcomas has the highest correlation with MYC expression. Annotation of this gene signature reveals Myc's primordial function in RNA processing, ribosome biogenesis and biomass accumulation as its key roles in cancer and stem cells.

Publication Title

Cell-type independent MYC target genes reveal a primordial signature involved in biomass accumulation.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE32219
Gene expression from human B-lymphocytes (P493-6)
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

P493-6 contain a tet repressible MYC contruct. In the presense of tetracycline, MYC levels are great reduced and the cells cease to cycle. Gene expression was compared between high and low MYC expressing cells

Publication Title

Cell-type independent MYC target genes reveal a primordial signature involved in biomass accumulation.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE84838
c-Jun protein expression in vivo induces systemic fibrosis in mice
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Time course analysis of c-Jun expression at 24h resulted in upregulation of a number of well-known fibrogenesis-associated factors.

Publication Title

Unifying mechanism for different fibrotic diseases.

Sample Metadata Fields

Specimen part

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accession-icon GSE87164
Gene expression in MMTV-PyMT whole tumor, CD3+ lymphocytes or CD11b+ myeloid cells with and without Class IIa HDAC inhibitor treatment
  • organism-icon Mus musculus
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Class IIa HDAC inhibition reduces breast tumours and metastases through anti-tumour macrophages.

Sample Metadata Fields

Sex, Specimen part

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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