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accession-icon SRP167442
RNA-seq of Mus musculus: WT and MTCH2 KO Naïve & Primed mouse embryonic stem cells
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

The role of mitochondria dynamics and its molecular regulators remains largely unknown during naïve-to-primed pluripotent cell interconversion. Here we report that mitochondrial MTCH2 is a regulator of mitochondrial fusion, essential for the naïve-to-primed interconversion of murine embryonic stem cells (ESCs). During this interconversion, wild-type ESCs elongate their mitochondria and slightly alter their glutamine utilization. In contrast, MTCH2-/- ESCs fail to elongate their mitochondria and to alter their metabolism, maintaining high levels of histone acetylation and expression of naïve pluripotency markers. Importantly, enforced mitochondria elongation by the pro-fusion protein Mitofusin (MFN) 2 or by a dominant negative form of the pro-fission protein dynamin-related protein (DRP) 1 is sufficient to drive the exit from naïve pluripotency of both MTCH2-/- and wild-type ESCs. Taken together, our data indicate that mitochondria elongation, governed by MTCH2, plays a critical role and constitutes an early driving force in the naïve-to-primed pluripotency interconversion of murine ESCs. Overall design: Examination of WT and MTCH2 KO ESC and EpiLC mouse embryonic stem cells transcriptome

Publication Title

MTCH2-mediated mitochondrial fusion drives exit from naïve pluripotency in embryonic stem cells.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE11679
Gene expression changes related to postnatal handling
  • organism-icon Mus musculus
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Postnatal handling in rodents leads to decreased anxiety-like behavior in adulthood. We used microarrays to look at gene expression differences in the CA1 region of the hippocampus in female mice subjected to postnatal handling compared to controls.

Publication Title

Variation in the large-scale organization of gene expression levels in the hippocampus relates to stable epigenetic variability in behavior.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE55606
Infiltrating monocyte-derived macrophages and resident kupffer cells display different ontogeny and functions in acute liver injury
  • organism-icon Mus musculus
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Molecular profiling of infiltrating monocyte-derived macrophages versus resident kupffer cells following acute liver injury

Publication Title

Infiltrating monocyte-derived macrophages and resident kupffer cells display different ontogeny and functions in acute liver injury.

Sample Metadata Fields

Specimen part, Disease, Time

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accession-icon GSE11680
Gene expression differences between high and low exploratory genetically identical mice
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Genetically identical inbred mice exhibit substantial stable individual variability in exploratory behavior. We used microarrays to look at gene expression differences in the hippocampus in female mice separated by stable differences in exploratory behavior

Publication Title

Variation in the large-scale organization of gene expression levels in the hippocampus relates to stable epigenetic variability in behavior.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP144382
mRNA-seq Whole Transcriptome Profiling of Fresh Frozen versus Archived Fixed Tissues
  • organism-icon Homo sapiens
  • sample-icon 188 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Background: The main bottleneck for genomic studies of tumors is the limited availability of fresh frozen (FF) samples collected from patients, coupled with comprehensive long-term clinical follow-up. This shortage could be alleviated by using existing large archives of routinely obtained and stored Formalin-Fixed Paraffin-Embedded (FFPE) tissues. However, since these samples are partially degraded, their RNA sequencing is technically challenging. Results: In an effort to establish a reliable and practical procedure, we compared three protocols for RNA sequencing using pairs of FF and FFPE samples, both taken from the same breast tumor. In contrast to previous studies, we compared the expression profiles obtained from the two matched sample types, using the same protocol for both. Three protocols were tested on low initial amounts of RNA, as little as 100 ng, to represent the possibly limited availability of clinical samples. For two of the three protocols tested, poly(A) selection (mRNA-seq) and ribosomal-depletion, the total gene expression profiles of matched FF and FFPE pairs were highly correlated. For both protocols, differential gene expression between two FFPE samples was in agreement with their matched FF samples. Notably, although expression levels of FFPE samples by mRNA-seq were mainly represented by the 3'-end of the transcript, they yielded very similar results to those obtained by ribosomal-depletion protocol, which produces uniform coverage across the transcript. Further, focusing on clinically relevant genes, we showed that the high correlation between expression levels persists at higher resolutions. Conclusions: Using the poly(A) protocol for FFPE exhibited, unexpectedly, similar efficiency to the ribosomal-depletion protocol, with the latter requiring much higher (2-3 fold) sequencing depth to compensate for the relative low fraction of reads mapped to the transcriptome. The results indicate that standard poly(A)-based RNA sequencing of archived FFPE samples is a reliable and cost-effective alternative for measuring mRNA-seq on FF samples. Expression profiling of FFPE samples by mRNA-seq can facilitate much needed extensive retrospective clinical genomic studies. Overall design: We perform an unbiased evaluation of RNA-seq of archived tumor tissues by comparing the same library preparation methods for both FF and FFPE matched tumor samples and for small amounts of total RNA starting material. We have 3 matched FF/FFPE tumor samples with a moderate archival time of about 4-5 years (T1=T3), and additional 3 FFPE tumor samples archived for more than 10 years (T4-T6). all samples were tested with two protocols: illumina Truseq RNA after poly(A) selection (mRNA-seq); and Truseq after ribosomal depletion (RiboZero). Several initial amounts of starting material was tested for eacg protocol.

Publication Title

mRNA-seq whole transcriptome profiling of fresh frozen versus archived fixed tissues.

Sample Metadata Fields

Specimen part, Disease, Subject

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accession-icon SRP064758
Nuclear retention of mRNA in mammalian tissues
  • organism-icon Mus musculus
  • sample-icon 119 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Messenger RNA is thought to predominantly reside in the cytoplasm, where it is translated and eventually degraded. Although nuclear retention of mRNA has a regulatory potential it is considered extremely rare in mammals. Here to explore the extent of mRNA retention in metabolic tissues we combine deep sequencing of nuclear and cytoplasmic RNA fractions with single molecule transcript imaging in mouse beta cells, liver and gut. We identify a wide range of protein coding genes for which the levels of spliced polyadenylated mRNA are higher in the nucleus than in the cytoplasm. These include genes such as the transcription factor ChREBP, Nlrp6, Glucokinase and Glucagon receptor. We demonstrate that nuclear retention of mRNA can efficiently buffer cytoplasmic transcript levels from noise that emanates from transcriptional bursts. Our study challenges the view that transcripts predominantly reside in the cytoplasm and reveals a role of the nucleus in dampening gene expression noise. Overall design: we have total of 8 samples all are mice. liver nuclear RNA (2 replicates), liver cytoplasmic RNA (2 replicates), MIN6 (cell line) nuclear RNA (2 replicates), MIN6 (cell line) cytoplasmic RNA (2 replicates)

Publication Title

Nuclear Retention of mRNA in Mammalian Tissues.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE14482
Differentially expressed genes in subpopulations of monocytes from non infected animals.
  • organism-icon Macaca mulatta
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Rhesus Macaque Genome Array (rhesus)

Description

On the basis of the cell-surface molecule expression, CD16+ monocytes are likely comprised of distinct subpopulations of monocytes rather than a continuum of CD14+ monocytes with differing levels of cell activation. To better study this, we used gene array analysis that compared overall gene expression profiles of CD16+ subpopulations (CD14+CD16+ and CD16+) with that of CD14+CD16-. Gene expression in three FACS-sorted monocyte subsets was assessed by Affymetrix rhesus macaque oligonucleotide gene arrays that contain 52,024 probe sets covering 47,000 monkey genes. There were 29,361 probe sets that expressed in at least one subpopulation (raw array signal intensity > 32). Raw data were processed using robust multi-array average. To identify the most strongly, differentially expressed genes in each subpopulation, we only selected transcripts with consistently greater than four-fold difference (P < .05). In comparison to CD14+CD16- monocyte subset, a large number of genes (9098/29361, 30.9%) were differentially expressed in both CD14+CD16+ and CD16+ subsets: 1999 genes down-regulated; and 7099 genes up-regulated. Altogether, we observed large-scale gene expression differences between the CD14+CD16- subset and the two CD16+ subsets (CD14+CD16+ and CD16+), demonstrating transcriptional heterogeneity. The differential gene expression between CD16- and CD16+ monocytes underscore the fundamental differences between these cells.

Publication Title

Monocyte heterogeneity underlying phenotypic changes in monocytes according to SIV disease stage.

Sample Metadata Fields

Specimen part

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accession-icon SRP049605
Identification of a Molecular Signature for Acute Lyme Disease by Human Transcriptome Profiling
  • organism-icon Homo sapiens
  • sample-icon 97 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Lyme disease is challenging to diagnose, as clinical manifestations are variable and current tools to detect nucleic acid or antibody responses from Borrelia burgdorferi infection have low sensitivity. Here we conducted the first study of the global transcriptome of patients with Lyme disease to identify potential diagnostic biomarkers. Twenty-nine patients were enrolled and compared to 13 healthy controls at three time points after infection. Fifteen publicly available transcriptome datasets from patients in vivo or infection models in vitro were used to assess specificity of differentially expressed genes (DEGs). We found that Lyme disease results in profound and sustained changes in the patient transcriptomes, with a specific signature that shares =44% DEGs with other infections. Overall design: Gene expression profile from peripheral mononuclear blood cells (PBMC) of Lyme disease patients against healthy controls was undertaken. A total of 29 Lyme disease patients were sampled at 3 time points: acute Lyme pre-treatment (V1), 3 weeks later, immediately following completion of a standard course of antibiotics (V2), and 6 months following treatment completion (V5). 13 healthy controls were also sampled at one time point. Total RNA was extracted from 10e7 PBMC, followed by mRNA purification, paired-end barcode library preparation and sequencing on an Illumina Hiseq 2000.

Publication Title

Longitudinal Transcriptome Analysis Reveals a Sustained Differential Gene Expression Signature in Patients Treated for Acute Lyme Disease.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE67953
Tumor-Associated Macrophages Promote Colorectal Tumor Development Through Remodeling of Its Extracellular Matrix
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Ly6Chi monocytes massively infiltrate the CRC-tumors by virtue of their CCR2 expression and further mature into Ly6CloF4/80hi CD64hiMHCII+ TAM upon tumor progression. We demonstrated that TAM-deficient tumors display impaired tumor-growth via alternation of the ECM morphology, structure and composition. Using advanced high-resolution optical imaging to visualize the tumoral-ECM macromolecule network together with transcriptomic and proteomic approaches we unraveled that TAM play critical role in the deposition, linearization and cross-linking of collagenous ECM. Remarkably, we show that cues embedded in ECM by TAM-mediated remodeling activity promote tumor cell proliferation in vitro and orthotopic tumor development in vivo.

Publication Title

Tumor macrophages are pivotal constructors of tumor collagenous matrix.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE42101
Ly6Chi monocytes in the inflamed colon give rise to pro-inflammatory effector cells and migratory antigen presenting cells.
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

We showed different function of monocyte derived cells in the lamina propria of the colon under steady state and inflammatory conditions.

Publication Title

Ly6C hi monocytes in the inflamed colon give rise to proinflammatory effector cells and migratory antigen-presenting cells.

Sample Metadata Fields

Sex, Specimen part

View Samples
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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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