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accession-icon GSE64907
NSCLC Driven by DDR2 Mutation is Sensitive to JQ1 and Dasatinib Combination Therapy
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Genetically engineered mouse models of lung cancer have demonstrated an important role in understanding the function of novel lung cancer oncogenes and tumor suppressor genes identified in genomic studies of human lung cancer. Further, these models are important platforms for pre-clinical therapeutic studies. Here, we generated a mouse model of lung adenocarcinoma driven by mutation of the Discoidin Domain Receptor 2 (DDR2) gene combined with loss of TP53. DDR2L63V;TP53L/L mice developed poorly differentiated lung adenocarcinomas in all transgenic animals analyzed with a latency of 40-50 weeks and a median survival of 67.5 weeks. Mice expressing wild-type DDR2 with combined TP53 loss did not form lung cancers. DDR2L63V; TP53L/L tumors displayed robust expression of DDR2 and immunohistochemical markers of lung adenocarcinoma comparable to previously generated models of lung adenocarcinoma though also displayed concomitant expression of the squamous cell markers p63 and SOX2. Tumor-derived cell lines were not solely DDR2 dependent and displayed up-regulation of and partial dependence on MYCN. Combined treatment with the BET inhibitor JQ1 and the mutltitargeted DDR2 inhibitor dasatinib inhibited tumor growth in vitro and in vivo. Together, these results suggest that DDR2 mutation can drive lung cancer initiation in vivo and provide a novel mouse model for lung cancer therapeutics studies.

Publication Title

NSCLC Driven by DDR2 Mutation Is Sensitive to Dasatinib and JQ1 Combination Therapy.

Sample Metadata Fields

Specimen part

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accession-icon SRP092004
Suppression of adaptive responses to targeted cancer therapy by transcriptional repression [RNA-seq]
  • organism-icon Homo sapiens
  • sample-icon 87 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Large-scale genomic profiling efforts have facilitated the characterization of molecular alterations in cancers and aided the development of targeted kinase inhibitors for a wide array of cancer types. However, resistance to these targeted therapies invariably develops and limits their clinical efficacy. Targeting tumours with kinase inhibitors induces complex adaptive survival programs that promote the persistence of a fraction of the original cancer cell population, facilitating the eventual outgrowth of inhibitor-resistant tumour clones following clonal evolution. Here we show that the addition of a newly identified transcriptional repressor, THZ1, to targeted cancer therapy enhances cell killing and impedes the emergence of drug-resistant cell populations in cellular and in vivo cancer models with diverse genetic dependencies. We propose that targeted therapy induces a state of transcriptional dependency in a subpopulation of cells poised to become drug tolerant. THZ1 can exploit this dependency by blocking dynamic transcriptional responses, remodelling of enhancers and key signalling outputs required for tumour cell survival in the setting of targeted cancer therapies. These findings suggest that the addition of THZ1 to targeted cancer therapies is a promising broad-based strategy to hinder the emergence of drug-resistant cancer cell populations. Overall design: RNA-seq in tumor cell lines treated with targeted therapies and/or transcriptional inhibitors

Publication Title

Suppression of Adaptive Responses to Targeted Cancer Therapy by Transcriptional Repression.

Sample Metadata Fields

Specimen part, Cell line, Subject, Compound

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accession-icon SRP192094
Disease modelling of core pre-mRNA splicing factor haploinsufficiency
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

We generated a human EFTUD2 knockdown cell line using a CRISPR cas9 nickase strategy to investigate the effects of decreased expression of core spliceosome components on cell characteristics and global transcriptome expression/splicing patterns Overall design: 6 biological replicates of WT or CRISPR knock-down cells were generated and analysed by RNA-Seq

Publication Title

Disease modeling of core pre-mRNA splicing factor haploinsufficiency.

Sample Metadata Fields

Cell line, Subject

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accession-icon SRP144495
Identifying dormant cells in colorectal cancer spheroids
  • organism-icon Homo sapiens
  • sample-icon 384 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Cellular dormancy and heterogeneous cell cycle lengths provide important explanations for treatment failure following adjuvant therapy with S-phase cytotoxics in colorectal cancer (CRC) yet the molecular control of the dormant versus cycling state remains unknown. In CRCs dormant cells are found to be highly clonogenic and resistant to chemotherapies. We sought to understand the molecular features of dormant CRC cells to facilitate rationale identification of compounds to target both dormant and cycling tumour cells. Overall design: Six colorectal cancer cell lines (DLD1, HCT15, HT55, SW948, RKO and SW48) were labelled with the cell permeable dye CFSE and then grown in non-adherent spheroid culture for 6 days to enable identification of dormant cells that retain CFSE (LRC) and cycling cells (BULK). LRCs and BULK populations were then FACS sorted from each cell line in quadruplicate. As a control experiment, to identify off-target effects of the CFSE dye and culture artefacts, BULK populations from DLD1 cells at d1 and d6 after seeding both with and without CFSE labelling were included in the RNAseq analysis. RNA was extracted using the RNAeasy Micro Plus kit (Qiagen) and quantified using the Qubit RNA Assay Kit (Thermo Fisher Scientific). RNA quality was assessed using the Agilent Bioanalyser system as per manufacturer's instructions. Following normalisation and sample randomisation, Truseq library (Illumina) preparation was carried out at the CRUK CI genomics facility and subsequent single end, 50bp sequencing using the HiSeq system (Illumina). Following human genome alignment (hg19), read counts were normalised and differential expression tested using the DEseq protocol.

Publication Title

Itraconazole targets cell cycle heterogeneity in colorectal cancer.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP144496
Identifying the molecular mode of action of itraconazole in colorectal cancer
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Two cell lines (HT55 and SW948) were found responsive to itraconazole treatment. To identify the mode of action cells were treated with itraconazole or control (DMSO) and then subjected to RNAseq analysis once the phenotype had developed Overall design: HT55 and SW948 cells were seeded in adherent culture and treated with 5uM itraconazole or DMSO for 6 days. Cells then underwent RNA extraction using the RNAeasy Micro Plus kit (Qiagen) and quantified using the Qubit RNA Assay Kit (Thermo Fisher Scientific). RNA quality was assessed using the Agilent Bioanalyser system as per manufacturer's instructions. Following normalisation and sample randomisation, Truseq library (Illumina) preparation was carried out at the CRUK CI genomics facility and subsequent single end, 50bp sequencing using the HiSeq system (Illumina). Following human genome alignment (hg19), read counts were normalised and differential expression tested using the DEseq protocol.

Publication Title

Itraconazole targets cell cycle heterogeneity in colorectal cancer.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

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accession-icon GSE64228
Expression data of leaves from transgenic barley expressing wheat Lr34 gene
  • organism-icon Hordeum vulgare
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Barley Genome Array (barley1)

Description

The wheat gene Lr34 (Yr18/Pm38/Sr57/Ltn1) encodes a putative ABCG-type of transporter and is a unique source of disease resistance providing durable and partial resistance against multiple fungal pathogens. Lr34 has been found to be functional as a transgene in barley.

Publication Title

The wheat resistance gene Lr34 results in the constitutive induction of multiple defense pathways in transgenic barley.

Sample Metadata Fields

Specimen part

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accession-icon SRP144174
RNA-Sequencing analysis of differential gene transcription profiles induced by the prenatal/maternal broccoli sprout (BSp) diet
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Purpose: We tested global gene transcriptome changes by RNA-sequencing analysis in the offspring breast tumors of SV40 transgenic mice to further identify key epigenetic-controlled genes in regulation of the prenatal/maternal BSp diet-mediated early breast cancer prevention. Method: Mouse offspring mammary tumor mRNA from control and maternal BSp treatment were generated by deep sequencing, in duplicate or triplicate, using Illumina NextSeq500 platform (GPL19057). The sequence reads that passed quality filters were analyzed. We utilized the R/Bioconductor package DESeq to evaluate differential gene expression for sequence count data by the use of negative binomial distributio. qRT–PCR validation was performed using TaqMan and SYBR Green assays. Conclusions: Our data showed differential transcriptome distribution in the breast tumors of mouse offspring between the control and prenatal/maternal BSp treatment groups. Overall design: Total RNA obtained from the offspring breast tumors of SV40 transgenic mice with mothers fed either control or BSp diets, and analyzed by Illumina NextSeq500 platform (GPL19057).

Publication Title

Temporal Efficacy of a Sulforaphane-Based Broccoli Sprout Diet in Prevention of Breast Cancer through Modulation of Epigenetic Mechanisms.

Sample Metadata Fields

Age, Cell line, Treatment, Subject

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accession-icon GSE15189
Early Iron Deficiency Induced Changes in Arabidopsis Roots
  • organism-icon Arabidopsis thaliana
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Due to limited bio-availability of Fe, plants evolved adaptive alterations in development regulated at the transcriptional level. We investigated the early transcriptional response to Fe deficiency.

Publication Title

Early iron-deficiency-induced transcriptional changes in Arabidopsis roots as revealed by microarray analyses.

Sample Metadata Fields

Specimen part

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accession-icon SRP072272
Input Strategy for Improving Analysis of ChIP-exo Data and Beyond [RNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer

Description

Several recently emerging ChIP-seq (chromatin immunoprecipitation followed by sequencing) based methods perform chemical steps on bead-bound immunoprecipitated chromatin, posing a challenge for generating similarly treated input controls required for bioinformatics and data quality analyses. Here we present a versatile method for producing technique-specific input controls for ChIP-based methods that utilize additional bead-bound processing steps. Application of this method allowed for discovery of a novel CTCF binding motif from ChIP-exo data. Overall design: HeLa cells were transfected with either a scrambled siRNA or one of two CTCF siRNAs (Thermo Fisher Scientific ? Life technologies) using Lipofectamine RNAiMAX (Thermo Fisher Scientific - Life technologies) and incubated for 24 hr.

Publication Title

PAtCh-Cap: input strategy for improving analysis of ChIP-exo data sets and beyond.

Sample Metadata Fields

Cell line, Subject

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accession-icon SRP075565
ZBTB33 (Kaiso) Differentially Regulates Cell Cycle Through cyclin D1 and cyclin E1 in a Cell Specific Manner [RNA-seq]
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer

Description

The emerging correlation between aberrant DNA methylation patterns leading to transcriptional responses that promote and progress many cancers has prompted an interest in discerning the associated regulatory mechanisms. ZBTB33 (also known as Kaiso) is a specialized transcription factor that selectively recognizes mCpG-containing sites as well as a sequence-specific DNA target (termed the KBS) utilizing three Cys2His2 zinc fingers. Increasing reports link ZBTB33 overexpression and transcriptional activities with metastatic potential and poor prognosis, though the specific cellular consequences appear to be dependent on disease phenotype. There is currently little mechanistic insight into how various cellular phenotypes are then able to harness the transcriptional capabilities of ZBTB33 to differentially promote and progress the disease state. Here we have mechanistically interrogated the cell cycle responses mediated by the transcriptional activities of ZBTB33 in two different cell lines. Utilizing a series of ZBTB33 depletion and overexpression studies, we have determined that in HeLa cells ZBTB33 directly occupies the promoter regions of cyclin D1 and cyclin E1 in a KBS and methyl-specific manner, respectively, inducing increased proliferation by promoting RB1 hyper-phosphorylation, allowing for E2F transcriptional activity that coordinates an accelerated G1- to S-phase transition. Conversely, in HEK293 cells ZBTB33 indirectly regulates Cyclin E abundance resulting in reduced RB1 phosphorylation, decreased E2F activity and a decelerated transition through G1-phase. Thus, we have identified a novel mechanism by which ZBTB33 directly mediates the highly coordinated cyclin D1/cyclin E1/RB1/E2F signaling pathway controlling the passage through the G1-phase restriction point and accelerating cellular proliferation in a cancer cell line. Overall design: Determination of cellular and transcriptional consequences for ZBTB33 depletion in HeLa cells.

Publication Title

Cell-specific Kaiso (ZBTB33) Regulation of Cell Cycle through Cyclin D1 and Cyclin E1.

Sample Metadata Fields

Cell line, Subject

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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