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accession-icon SRP145502
AmpliSeq Transcriptome Analysis of Human Alveolar and Monocyte-Derived Macrophages Over Time in Response to Mycobacterium tuberculosis infection
  • organism-icon Homo sapiens
  • sample-icon 48 Downloadable Samples
  • Technology Badge IconIon Torrent Proton

Description

Human alveolar macrophages (HAM) are primary bacterial niche and immune response cells during Mycobacterium tuberculosis (M.tb) infection, and human blood monocyte-derived macrophages (MDM) are a model for investigating M.tb-macrophage interactions. Here, we use a targeted RNA-Seq method to measure transcriptome-wide changes in RNA expression patterns of freshly obtained HAM (used within 6 h) and 6 day cultured MDM upon M.tb infection over time (2, 24 and 72 h), in both uninfected and infected cells from three donors each. The Ion AmpliSeqâ„¢ Transcriptome Human Gene Expression Kit (AmpliSeq) uses primers targeting 18,574 mRNAs and 2,228 non-coding RNAs (ncRNAs) for a total of 20,802 transcripts. AmpliSeqTM yields highly precise and reproducible gene expression profiles (R2 >0.99). Taking advantage of AmpliSeq's reproducibility, we establish well-defined quantitative RNA expression patterns of HAM versus MDM, including significant M.tb-inducible genes, in networks and pathways that differ in part between MDM and HAM. A similar number of expressed genes are detected at all time-points between uninfected MDM and HAM, in common pathways including inflammatory and immune functions, but canonical pathway differences also exist. In particular, at 2 h, multiple genes relevant to the immune response are preferentially expressed in either uninfected HAM or MDM, while the HAM RNA profiles approximate MDM profiles over time in culture, highlighting the unique RNA expression profile of freshly obtained HAM. MDM demonstrate a greater transcriptional response than HAM upon M.tb infection, with 2 to >10 times more genes up- or down-regulated. The results identify key genes involved in cellular responses to M.tb in two different human macrophage types. Follow-up bioinformatics analysis indicates that approximately 30% of response genes have expression quantitative trait loci (eQTLs in GTEx), common DNA variants that can influence host gene expression susceptibility or resistance to M.tb, illustrated with the TREM1 gene cluster and IL-10. Overall design: Assessment of transcriptome profiles from cells infected with Mycobacterium tuberculosis using AmpliSeq.

Publication Title

AmpliSeq transcriptome analysis of human alveolar and monocyte-derived macrophages over time in response to Mycobacterium tuberculosis infection.

Sample Metadata Fields

Specimen part, Treatment, Subject, Time

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accession-icon SRP055413
Allele-selective Transcriptome Recruitment to Polysomes Primed for Translation: Protein-coding and Noncoding RNAs, and RNA Isoforms
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIonTorrentProton

Description

Purpose: mRNA translation into protein is highly regulated, but the role of mRNA isoforms, noncoding RNAs (ncRNAs), and genetic variants has yet to be systematically studied. Using high-throughput sequencing (RNA-seq), we have measured cellular levels of mRNAs and ncRNAs, and their isoforms, in lymphoblast cell lines (LCL) and in polysomal fractions, the latter shown to yield strong correlations of mRNAs with expressed protein levels. Analysis of allelic RNA ratios at heterozygous SNPs served to reveal genetic factors in ribosomal loading. Methods: RNA-seq was performed on cytosolic extracts and polysomal fractions (3 ribosomes or more) from three lymphoblastoid cell lines. As each RNA fraction was amplified (NuGen kit), and relative contributions from various RNA classes differed between cytosol and polysomes, the fraction of any given RNA species loaded onto polysomes was difficult to quantitate. Therefore, we focused on relative recovery of the various RNA classes and rank order of single RNAs compared to total RNA. Results: RNA-seq of coding and non-coding RNAs (including microRNAs) in three LCLs revealed significant differences in polysomal loading of individual RNAs and isoforms, and between RNA classes. Moreover, correlated distribution between protein-coding and non-coding RNAs suggests possible interactions between them. Allele-selective RNA recruitment revealed strong genetic influence on polysomal loading for multiple RNAs. Allelic effects can be attributed to generation of different RNA isoforms before polysomal loading or to differential loading onto polysomes, the latter defining a direct genetic effect on translation. Several variants and genes identified by this approach are also associated with RNA expression and clinical phenotypes in various databases. Conclusions: These results provide a novel approach using complete transcriptome RNA-seq to study polysomal RNA recruitment and regulatory variants affecting protein translation. Overall design: cells from 3 samples were grown to 5x105 cells/mL density in T75 tissue culture flask and harvested, total RNA and polysome bound RNA was sequenced by Ion Proton

Publication Title

Allele-Selective Transcriptome Recruitment to Polysomes Primed for Translation: Protein-Coding and Noncoding RNAs, and RNA Isoforms.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE26309
A Transcriptomic Analysis of NET1 (a RhoA GEF Exchange Factor) in AGS Gastric Cancer Cells
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Stable knockdown of NET1, a RhoGEF, was achieved in AGS Gastric Cancer cells. This gene is known to be overexpressed in the disease.

Publication Title

A functional and transcriptomic analysis of NET1 bioactivity in gastric cancer.

Sample Metadata Fields

Cell line

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accession-icon GSE47920
Expression data from T lymphocytes derived from T-iPS and peripheral blood
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

T lymphocytes can be generated from T-cell-derived induced pluripotent stem cells (T-iPS). We used microarrays to better elucidate their phenotype and compare their gene expression profile to that of known lymhoid subsets from peripheral blood.

Publication Title

Generation of tumor-targeted human T lymphocytes from induced pluripotent stem cells for cancer therapy.

Sample Metadata Fields

Specimen part

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accession-icon GSE27834
miR-371-3 expression predicts neural differentiation potential in human pluripotent stem cells
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina humanRef-8 v2.0 expression beadchip

Description

The use of pluripotent stem cells in regenerative medicine and disease modeling is complicated by the variation in differentiation properties between lines. In this study, we characterized 13 human embryonic stem cell. (hESC) and 26 human induced pluripotent stem cell (hiPSC) lines to identify markers that predict neural differentiation behavior. At a general level, markers previously known to distinguish mouse ESCs from epiblast stem cells (EpiSCs) correlated with neural differentiation behavior. More specifically, quantitative analysis of miR-371-3 expression prospectively identified hESC and hiPSC lines with differential neurogenic differentiation propensity and in vivo dopamine neuron engraftment potential. Transient KLF4 transduction increased miR-371-3 expression and altered neurogenic behavior and pluripotency marker expression. Conversely, suppression of miR- 371-3 expression in KLF4-transduced cells rescued neural differentiation propensity. miR-371-3 expression level therefore appears to have both a predictive and a functional role in determining human pluripotent stem cell neurogenic differentiation behavior.

Publication Title

miR-371-3 expression predicts neural differentiation propensity in human pluripotent stem cells.

Sample Metadata Fields

Sex, Cell line

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accession-icon SRP165725
Calibrated CAR activation potential directs alternative T cell fates and therapeutic potency
  • organism-icon Homo sapiens
  • sample-icon 27 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

CD19-specific CARs that comprise CD28 and CD3z signaling domains program highly performing effector functions that mediate potent tumor elimination, but they impart a relatively limited T cell lifespan. Increasing functional T cell persistence without reducing effector potency is therefore likely to further enhance the therapeutic success of 1928z CAR T cells. We demonstrate that the number and position of ITAMs in 1928z CAR T cells influence functional, phenotypic and transcriptional programs, resulting in profound effects on antitumor efficacy. Improved therapeutic potency of CAR T cells can thus be achieved by calibrating activation strength, thereby retaining memory functions and preventing exhaustion, without compromising effector functions. Our transcriptional analysis underscores the potential of ITAM dosage and position to direct different T cell fates. We were able to identify a novel CAR design, termed 1XX, which programs a favorable balance of effector and memory signatures, inducing increased persistence of highly functional CARs with the replicative capacity of long-lived memory cells and potent effector functions. Overall design: In order to assess the different phenotypic and functional patterns of CARs encoding a single immunoreceptor tyrosine-based activation motif (ITAM), we compared the genome-wide transcriptional profiles of 1928z, 1XX and XX3 after CD19 antigen stimulation of TRAC-edited naïve T cells. Sorted naïve (TN), stem cell memory (TSCM) and effector (TEFF) CD8+ T cells served as controls.

Publication Title

Calibration of CAR activation potential directs alternative T cell fates and therapeutic potency.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE12648
Hereditary Inclusion Body Myopathy (HIBM)
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

HIBM is a neuromuscular disorder characterized by adult-onset, slowly progressive distal and proximal muscle weakness. Here, gene expression was measured in muscle specimens from 10 HIBM patients carrying the M712T Persian Jewish founder mutation in GNE and presenting with mild histological changes, and from 10 healthy matched control individuals.

Publication Title

Mitochondrial processes are impaired in hereditary inclusion body myopathy.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE24150
b-AP15, a novel proteasome inhibitor
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Microarray based mRNA profiling was used to identify the mechanism of action for the small molecule b-AP15.

Publication Title

Inhibition of proteasome deubiquitinating activity as a new cancer therapy.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE65438
The Polycomb group protein L3MBTL1 represses a SMAD5-mediated transcriptional program in human pluripotent stem cells
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Epigenetic regulation of key transcriptional programs is a critical mechanism that controls hematopoietic development and thus aberrant expression patterns or mutations in epigenetic regulators occur frequently in hematologic malignancies. We demonstrate that the Polycomb protein L3MBTL1, which is monoallelically deleted in 20q- myeloid malignancies, represses the ability of stem cells to drive hematopoietic-specific transcriptional programs by regulating the expression of SMAD5 and impairing its recruitment to target regulatory regions. Indeed, knock-down of L3MBTL1 promotes the development of hematopoiesis and impairs neural cell fate in human pluripotent stem cells. We also found a role for L3MBTL1 in regulating SMAD5 target gene expression in mature hematopoietic cell populations, thereby affecting erythroid differentiation. Taken together, we have identified epigenetic priming of hematopoietic-specific transcriptional networks, which may assist in the development of therapeutic approaches for patients with anemia.

Publication Title

The polycomb group protein L3MBTL1 represses a SMAD5-mediated hematopoietic transcriptional program in human pluripotent stem cells.

Sample Metadata Fields

Cell line

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accession-icon GSE17043
Molecular and functional characterization of FD-iPSC derived neural crest precursor cells
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina human-6 v2.0 expression beadchip

Description

Global gene expression analysis of FD-iPSC and deribved neural crest cells

Publication Title

Modelling pathogenesis and treatment of familial dysautonomia using patient-specific iPSCs.

Sample Metadata Fields

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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Developed by the Childhood Cancer Data Lab

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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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