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accession-icon SRP067910
Sequencing of messenger RNAs with N6-methyladenosine modifications in acute myeloid leukemia (AML) with and without forced expression of FTO
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

To identify potential mRNA targets of FTO whose m6A levels are affected by FTO in acute myeloid leukemia (AML) cells, we conducted m6A-seq for messenger RNAs isolated from AML cells with and without forced expression of FTO. Overall design: We retrovirally transduced MSCV-PIG-FTO (i.e., human FTO) or MSCV-PIG (i.e., CTRL/Control) into human MONOMAC-6/t(9;11) AML cells and then selected individual stable clones under selection of puromuycin (0.5ug/ml). Four stable lines including two each FTO-overexpressing lines (i.e., FTO+ 1 and FTO+ 2; or FTO_1 and FTO_2) and control lines (i.e., WT 1 and WT 2; or Ctrl_1 and Ctrl_2) were selected for genome-wide m6A-sequencing (m6A-Seq) assays. The m6A-seq procedure was performed as detailed in Dominissini's method (Dominissini D., et al. Nat Protocols. 2013; 8: 176-189.). Polyadenylated RNA was extracted using FastTrack MAG Maxi mRNA isolation kit (Life technology). RNA fragmentation Reagents (Ambion) was used to randomly fragment RNA. M6A antibody (Synaptic Systems) was applied for m6A pull down. And final library preparation was constructed by TruSeq Stranded mRNA Sample Prep Kit (Illumina). Final library was quantified by BioAnalyzer High Sensitivity DNA chip then deeply sequenced on the Illumina HiSeq 2500.

Publication Title

FTO Plays an Oncogenic Role in Acute Myeloid Leukemia as a N<sup>6</sup>-Methyladenosine RNA Demethylase.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP080360
mRNA sequencing in acute myeloid leukemia (AML) cells with and without knockdown of FTO
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

To identify the expression of mRNAs after knockdown of FTO, we performed RNA-Seq in MA9.3ITD cells with or without knockdown of FTO. Overall design: We lentivirally transduced pLKO.1-shFTO (i.e., shFTO) or pLKO.1 empty vertor (i.e., shNS) into human MA9.3ITD (human CD34+ hematopoietic stem/progenetor cells stably infected by MLL-AF9 and FLT3-ITD) AML cells and then selected positively infected cells under selection of puromuycin (0.5ug/ml). The knockdown efficiency was confirmed by qPCR and western. Two stable lines including one FTO-knockdown cell line (i.e., shFTO) and one control line (i.e., shNS) were selected for RNA-Seq. Polyadenylated RNA was extracted using FastTrack MAG Maxi mRNA isolation kit (Life technology). RNA fragmentation Reagents (Ambion) was used to randomly fragment RNA. And final library preparation was constructed by TruSeq Stranded mRNA Sample Prep Kit (Illumina). Final library was quantified by BioAnalyzer High Sensitivity DNA chip then deeply sequenced on the Illumina HiSeq 2500.

Publication Title

FTO Plays an Oncogenic Role in Acute Myeloid Leukemia as a N<sup>6</sup>-Methyladenosine RNA Demethylase.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon SRP080113
N6-methyladenosine (m6A) sequencing of messenger RNAs in acute myeloid leukemia (AML) cells with and without knockdown of FTO
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

To identify potential mRNA targets of FTO whose m6A levels are influenced in acute myeloid leukemia (AML) cells, we conducted m6A-seq for mRNA isolated from MA9.3ITD cells with and without knockdown of FTO Overall design: We lentivirally transduced pLKO.1-shFTO (i.e., shFTO) or pLKO.1 empty vertor (i.e., shNS) into human MA9.3ITD (human CD34+ hematopoietic stem/progenetor cells stably infected by MLL-AF9 and FLT3-ITD) AML cells and then selected positively infected cells under selection of puromuycin (0.5ug/ml). Two stable lines including one FTO-knockdown cell line (i.e., shFTO) and one control line (i.e., shNS) were selected for genome-wide m6A-sequencing (m6A-Seq) assays. The m6A-seq procedure was performed as detailed in Dominissini's method (Dominissini D., et al. Nat Protocols. 2013; 8: 176-189.). Polyadenylated RNA was extracted using FastTrack MAG Maxi mRNA isolation kit (Life technology). RNA fragmentation Reagents (Ambion) was used to randomly fragment RNA. M6A antibody (Synaptic Systems) was applied for m6A pull down. And final library preparation was constructed by TruSeq Stranded mRNA Sample Prep Kit (Illumina). Final library was quantified by BioAnalyzer High Sensitivity DNA chip then deeply sequenced on the Illumina HiSeq 2500.

Publication Title

FTO Plays an Oncogenic Role in Acute Myeloid Leukemia as a N<sup>6</sup>-Methyladenosine RNA Demethylase.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon SRP094100
IGF2BP proteins Enhance mRNA stability
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 1000

Description

To evaluate the effect of IGF2BPs on mRNA stability and gene expression output, we conducted RNA-seq in individual IGF2BP knockdown and control HepG2 cells with or without actinomycin D treatment. Our RNA-seq and RNA stability profiling revealed that IGF2BPs were involved in RNA stability regulation and contributed to the stabilization of the transcriptome. Overall design: HepG2 cells were infected with individual lentiviral IGF2BP shRNA and non-specific control (shNS), and selected by puromycin to generate stable knockdown lines. We treated HepG2 cells with actinomycin D to inhibit transcription and collected cells at indicated time points (i.e., 0h, 1h, 3h, 6h). The total RNA was extracted by miRNeasy Kit (Qiagen) and sequenced by Illumina. For IGF2BP-dependent gene expression, untreated cells (i.e., 0h samples) were sequenced in triplicate and analyzed. For RNA stability profiling, RNA half-life was calculated by comparing the gene expression at 1, 3, 6 hours with actinomycin treatment to that in un-treated samples, with two biological replicates for each group.

Publication Title

Recognition of RNA N<sup>6</sup>-methyladenosine by IGF2BP proteins enhances mRNA stability and translation.

Sample Metadata Fields

Specimen part, Treatment, Subject, Time

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accession-icon SRP090252
The anti-leukemic effect of R-2HG depends on its acting as an m6A mRNA modifier-RNA Seq-PBS / R-2HG treatment
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

RNA-seq from R-2HG sensitive leukemia cells treated with R-2HG or PBS. Overall design: With MTT assays, we identified R-2HG exhibits an anti-leukemia function. We conducted RNA-Seq in the two sensitive cells (NOMO-1 and MA9.3ITD) with R-2HG or without R-2HG treatment for 48 hours to investigate which genes/a-ketoglutarate-dependent dioxygenases/signaling pathways are responsible for the anti-leukemia function of R-2HG. For each group, there are three duplicates.

Publication Title

R-2HG Exhibits Anti-tumor Activity by Targeting FTO/m<sup>6</sup>A/MYC/CEBPA Signaling.

Sample Metadata Fields

Specimen part, Treatment, Subject

View Samples
accession-icon SRP068114
Transcription profiling of zebrafish fin regeneration
  • organism-icon Danio rerio
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerII

Description

We compared transcriptional profiles of regenerating zebrafish caudal fins following fin amputation with profiles from uninjured zebrafish caudal fins Overall design: Examination of whole fin transcriptional profiles from regenerating fins (2 pools of 10 fins) and uninjured fins (2 pools of 10 fins)

Publication Title

Modulation of tissue repair by regeneration enhancer elements.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP067229
Modulation of tissue repair by regeneration enhancer elements.
  • organism-icon Danio rerio
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerII

Description

We compared transcriptional and chromatin profiles of regenerating zebrafish hearts following genetic ablation with profiles from uninjured zebrafish hearts. Overall design: Examination of whole heart transcriptional profiles from ablated hearts (2 pools of 10 hearts) and uninjured hearts (2 pools of 10 hearts). Examination of differential H3K27Ac marks following genetic ablation of cardiomyocytes (regenerating hearts) and uninjured hearts.

Publication Title

Modulation of tissue repair by regeneration enhancer elements.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE56897
The transcription factor GATA6 allows self-renewal of colon adenoma stem cells by repressing BMP gene expression
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

The transcription factor GATA6 enables self-renewal of colon adenoma stem cells by repressing BMP gene expression.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE56895
Identification of GATA6 target genes in LS174T colorectal cancer cells using gene expression arrays
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Aberrant activation of WNT signaling and loss of BMP signals represent the two main alterations leading to the initiation of colorectal cancer (CRC). Here we screen for genes required for maintaining the tumor stem cell phenotype and identify the zinc-finger transcription factor GATA6 as key regulator of the WNT and BMP pathways in CRC. GATA6 directly drives the expression of LGR5 in adenoma stem cells while it restricts BMP signaling to differentiated tumor cells. Genetic deletion of Gata6 in mouse colon adenomas increases the levels of BMP factors, which signal to block self-renewal of tumor stem cells. In human tumors, GATA6 competes with beta-catenin/TCF4 for binding to a distal regulatory region of the BMP4 locus that has been previously linked to increased susceptibility to develop CRC. Hence, GATA6 creates a permissive environment for tumor stem cell expansion by controlling the major signaling pathways that influence CRC initiation.

Publication Title

The transcription factor GATA6 enables self-renewal of colon adenoma stem cells by repressing BMP gene expression.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE56896
Identification of beta-cetenin/TCF4 target genes in LS174T colorectal cancer cells using gene expression arrays
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Aberrant activation of WNT signaling and loss of BMP signals represent the two main alterations leading to the initiation of colorectal cancer (CRC). Here we screen for genes required for maintaining the tumor stem cell phenotype and identify the zinc-finger transcription factor GATA6 as key regulator of the WNT and BMP pathways in CRC. GATA6 directly drives the expression of LGR5 in adenoma stem cells while it restricts BMP signaling to differentiated tumor cells. Genetic deletion of Gata6 in mouse colon adenomas increases the levels of BMP factors, which signal to block self-renewal of tumor stem cells. In human tumors, GATA6 competes with beta-catenin/TCF4 for binding to a distal regulatory region of the BMP4 locus that has been previously linked to increased susceptibility to develop CRC. Hence, GATA6 creates a permissive environment for tumor stem cell expansion by controlling the major signaling pathways that influence CRC initiation.

Publication Title

The transcription factor GATA6 enables self-renewal of colon adenoma stem cells by repressing BMP gene expression.

Sample Metadata Fields

Specimen part, Cell line

View Samples
...

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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