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accession-icon SRP159400
High Dimensional Analysis Delineates Myeloid and Lymphoid Compartment Remodeling during Successful Immune Checkpoint Cancer Therapy
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Using complementary forms of high dimensional profiling we define differences in CD45+ cells from syngeneic mouse tumors that either grow progressively or eventually reject following immune checkpoint therapy (ICT). Unbiased assessment of gene expression of tumor infiltrating cells by single cell RNA sequencing (scRNAseq) and longitudinal assessment of cellular protein expression by mass cytometry (CyTOF) revealed significant remodeling of both the lymphoid and myeloid intratumoral compartments. Surprisingly, we observed multiple subpopulations of monocytes/macrophages distinguishable by the combinatorial presence or absence of CD206, CX3CR1, CD1d and iNOS, markers of different macrophage activation states that change over time during ICT in a manner partially dependent on IFN?. Both the CyTOF data and additional analysis of scRNAseq data support the hypothesis that macrophage polarization/activation results from effects on circulatory monocytes/early macrophages entering tumors rather than on pre-polarized mature intratumoral macrophages. Thus, ICT induces transcriptional and functional remodeling of both myeloid and lymphoid compartments. Overall design: Droplet-based 3' end massively parallel single-cell RNA sequencing was performed by encapsulating sorted live CD45+ tumor infiltrating cells into droplets and libraries were prepared using Chromium Single Cell 3' Reagent Kits v1 according to manufacturer's protocol (10x Genomics). The generated scRNAseq libraries were sequenced using an Illumina HiSeq2500.

Publication Title

High-Dimensional Analysis Delineates Myeloid and Lymphoid Compartment Remodeling during Successful Immune-Checkpoint Cancer Therapy.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP178543
Single-cell RNA sequencing on breast cancer cells enriched for cancer stem cell properties using functional assays
  • organism-icon Homo sapiens
  • sample-icon 121 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

We used mammosphere formation assay and label-retention assay as functional cellular approaches to enrich for cells with different degree of cancer stem cell properties in the breast cancer cell line MDA-MB-231 and performed single-cell RNA sequencing Overall design: Single cells from three different populations: 30 cells from G1 cell cycle phase cultured in adherent conditions, 46 cells with low proliferation cultured in non-adherent conditions (mammosphere assasy), 45 cells with high proliferation cultured in non-adherent conditions (mammosphere assay)

Publication Title

Erratum: Identification of Breast Cancer Stem Cell Related Genes Using Functional Cellular Assays Combined With Single-Cell RNA Sequencing in MDA-MB-231 Cells.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE30775
Gene expression change after LSD1 siRNA treatment in ER-negative breast cancer cells MDA-MB-231
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Knock-down of LSD1 using siRNA approach induced regulation of several proliferation-associated genes in ER-negative breast cancer cells MDA-MB-231.

Publication Title

Lysine-specific demethylase 1 (LSD1) and histone deacetylase 1 (HDAC1) synergistically repress proinflammatory cytokines and classical complement pathway components.

Sample Metadata Fields

Cell line

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accession-icon GSE2509
Colon cancer progression-polysomal difference
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Two colon cancer cell lines are under study. SW480 and SW620. The first one is derived from primary cancer, SW620 are from lymphnode metastatic sites. they both comes from the sampe patient. Polisomal RNA fractions from the two isogenic colon cancer cells lines was purified by sucrose gradient and hybridized on affymetrix hgu133a chips. this study is complementary to the series GSE1323 were total RNA was used instead. Comparison between the polysomal fraction chips and the total RNA chips is performed and the analysis proposed in a paper from the authors (at the moment in preparation).

Publication Title

Global alterations in mRNA polysomal recruitment in a cell model of colorectal cancer progression to metastasis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE1323
Isogenic primary tumor/metastasis comparison
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

SW480 and SW620 are colon cancer cells lines derived from a primary tumor and a corresponding metastasis from the same individual. The numbers indicate the three indipendent replicate RNA samples processed. Three different software packages were used in parallel for signal calculation: Affymetrix microarray suite 5.0, DNA-Chip analyzer, and Robust multi-array analyses.

Publication Title

Global alterations in mRNA polysomal recruitment in a cell model of colorectal cancer progression to metastasis.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE34775
Identification of genes characteristic of primary inguinal or epididymal preadipocyte fibroblasts
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Committed preadipocyte fibroblasts were genetically labelled in transgenic mice by expressing GFP under the control of the locus for Zfp423, a gene controlling preadipocyte determination. These mice are herein referred to as Zfp423-GFP mice. The overall goal was to identify genes differentially expressed between adipogenic GFP+ firboblasts and non-adipogenic GFP- fibroblasts from either inguinal or epididymal fat stromal vascular cultures obtained from Zfp423-GFP mice.

Publication Title

Zfp423 expression identifies committed preadipocytes and localizes to adipose endothelial and perivascular cells.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE21363
Gene expression during SMC cord morphogenesis
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

SMCs must undergo specialzed patterning during blood vessel stabilization. We used microarray analysis to identify differentially expressed genes as smooth muscle cells were induced to assemble into a network of elongated cords.

Publication Title

Fibroblast growth factor 9 delivery during angiogenesis produces durable, vasoresponsive microvessels wrapped by smooth muscle cells.

Sample Metadata Fields

Cell line, Time

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accession-icon SRP001722
Zea mays Transcriptome or Gene expression
  • organism-icon Zea mays
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

Small RNAs (21-24 nt) are pivotal regulators of gene expression that guide both transcriptional and post-transcriptional silencing mechanisms in diverse eukaryotes, including most if not all plants. MicroRNAs (miRNAs) and short interfering RNAs (siRNAs) are the two major types, both of which have a demonstrated and important role in plant development, stress responses and pathogen resistance. In this work, we used a deep sequencing approach (Sequencing-By-Synthesis, or SBS) to develop sequence resources of small RNAs from different maize tissues (including leaves, ears and tassels) collected from wild-type plants of the B73 variety. The high depth of the resulting datasets enabled us to examine in detail critical small RNA features as size distribution, tissue-specific regulation and sequence conservation between different organs in this species. We also developed database resources and a dedicated website (http://smallrna.udel.edu/) with computational tools for allowing other users to identify new miRNAs or siRNAs involved in specific regulatory pathways, verify the degree of conservation of these sequences in other plant species and map small RNAs on genes or larger regions of the maize genome under study. Overall design: Small RNA libraries were derived from leaves, ears and tassels of maize variety B73 (wild-type). Plants were grown in a flood irrigated plot at the University of Arizona (Tucson, AZ, USA) in 2007 and organs were pooled from several plants for each library. Young leaves were collected from 6-weeks-old seedlings. Post-meiotic immature ears were harvested from 10- and 11-week old plants while pre-meiotic tassels were collected from 8-week old plants. Total RNA was isolated using the Plant RNA Purification Reagent (Invitrogen) and submitted to Illumina (Hayward, CA, http://www.illumina.com) for small RNA library construction using approaches described in (Lu et al., 2007) with minor modifications. The small RNA libraries were sequenced with the Sequencing-By-Synthesis (SBS) technology by Illumina. PERL scripts were designed to remove the adapter sequences and determine the abundance of each distinct small RNA. We thank Lyudmila Sidorenko and Vicki Chandler for providing the plant material and Kan Nobuta for assistance with the computational methods.

Publication Title

Detailed analysis of a contiguous 22-Mb region of the maize genome.

Sample Metadata Fields

Subject

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accession-icon GSE51080
Expression data from exposure of BAT and WAT at 6 and 28 degrees C
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

We run microarrays from three per group Sv129 female mice, ten weeks old, which were maintained at 28C (warm conditions) or 6 C (cold stimulated) for ten days, while standard animal house temperature is 22 C.

Publication Title

Brown and white adipose tissues: intrinsic differences in gene expression and response to cold exposure in mice.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE17602
Identification of regions and genes important in Szary syndrome pathogenesis using genomic and expression microarrays
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Identification of key regions and genes important in the pathogenesis of sezary syndrome by combining genomic and expression microarrays.

Sample Metadata Fields

Specimen part, Disease

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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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