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accession-icon GSE63941
Expression data from cultured human esophageal squamous cell carcinoma cell lines and cultured human fibroblasts.
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Cancer cells express different sets of receptor type tyrosine kinases. These receptor kinases may be activated through autocrine or paracrine mechanisms. Fibroblasts may modify the biologic properties of surrounding cancer cells through paracrine mechansms.

Publication Title

The role of HGF/MET and FGF/FGFR in fibroblast-derived growth stimulation and lapatinib-resistance of esophageal squamous cell carcinoma.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon SRP053043
Modeling the early phenotype at the neuromuscular junction of spinal muscular atrophy using patient-derived iPSCs (RNA-Seq)
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

Spinal muscular atrophy (SMA) is a neuromuscular disorder caused by mutations of the survival of motor neuron 1 (SMN1) gene. In the pathogenesis of SMA, pathological changes of the neuromuscular junction (NMJ) precede the motor neuronal loss. Therefore, it is critical to evaluate the NMJ formed by SMA patients’ motor neurons (MNs), and to identify drugs that can restore the normal condition. We generated NMJ-like structures using motor neurons (MNs) derived from SMA patient-specific induced pluripotent stem cells (iPSCs), and found that the clustering of the acetylcholine receptor (AChR) is significantly impaired. Valproic acid and antisense oligonucleotide treatment ameliorated the AChR clustering defects, leading to an increase in the level of full-length SMN transcripts. Thus, the current in vitro model of AChR clustering using SMA patient-derived iPSCs is useful to dissect the pathophysiological mechanisms underlying the development of SMA, and to evaluate the efficacy of new therapeutic approaches. Overall design: to evaluate the effects of VPA on the expression profiles of the MNs

Publication Title

Modeling the early phenotype at the neuromuscular junction of spinal muscular atrophy using patient-derived iPSCs.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE37982
Expression data from iPS cells
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We generated iPSCs from imatinib-sensitive chronic myelogenous leukemia (CML) patient samples.

Publication Title

Generation of induced pluripotent stem cells from primary chronic myelogenous leukemia patient samples.

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE56026
Gene expression in human endometrial cancer tissues and serous papillary endometrial cancer cell line, SPAC-1L, treated by STAT1-siRNA and/or IFN-gamma
  • organism-icon Homo sapiens
  • sample-icon 71 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Endometrial cancer is one of the most common gynecologic malignancies, and patients with high grade disease, especially serous papillary subtype (SPEC) are often related to the poor outcomes. Recent genome-wide analyses have revealed that SPEC exhibits gene expression profiles that are distinct from the endometrioid histologic subtype; therefore, it is important to identify the SPEC driver genes or pathways responsible for the inherently aggressive phenotypes and to develop SPEC-specific therapies to target these driver genes or pathways.

Publication Title

STAT1 drives tumor progression in serous papillary endometrial cancer.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE147281
Leukemic cells expressing NCOR1-LYN are sensitive to dasatinib in vivo in a patient-derived xenograft mouse model
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Philadelphia chromosome-like acute lymphoblastic leukemia (Ph-like ALL) is a distinct subtype of B-ALL with a poor prognosis. Rearrangement of LYN is a recurrent genetic abnormality in Ph-like ALL, but functional analysis of LYN-related fusion genes identified in ALL has not been reported. In this study, we performed functional analysis of the NCOR1-LYN fusion gene identified in a pediatric Ph-like ALL patient to establish its potential for molecular targeted therapy. Retroviral transduction of interleukin (IL)-3-dependent Ba/F3 cells with NCOR1-LYN enabled IL-3-independent proliferation, with constitutive phosphorylation of the tyrosine residues of the LYN kinase domain in the fusion protein. Replacing tyrosine residues with phenylalanine in the LYN kinase domain abolished IL-3 independence. Tyrosine kinase inhibitor dasatinib killed Ba/F3 cells expressing NCOR1-LYN in vitro accompanied by dephosphorylation of the tyrosine residues of the LYN kinase domain in the fusion protein.

Publication Title

Leukemic cells expressing NCOR1-LYN are sensitive to dasatinib in vivo in a patient-derived xenograft mouse model.

Sample Metadata Fields

Cell line

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accession-icon SRP186367
Loss of RNA-binding protein Sfpq causes long-gene transcriptopathy in skeletal muscle and severe muscle mass reduction with metabolic myopathy (skeletal muscle, mRNA-seq)
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIon Torrent Proton

Description

Growing evidences are suggesting that extra-long genes in mammals are vulnerable for full-gene length transcription and dysregulation of long genes is a mechanism underlying human genetic disorders. Skeletal muscle expresses Dystrophin which is 2.26 Mbp in length; however, how long-distance transcription is achieved is totally unknown. We had discovered RNA-binding protein SFPQ preferentially binds to long pre-mRNAs and specifically regulates the cluster of neuronal genes > 100 kbp. Here we investigated the roles of SFPQ for long gene expression, target specificities, and also physiological functions in skeletal muscle. Loss of Sfpq selectively downregulated genes >100 kbp including Dystrophin and caused progressive muscle mass reduction and metabolic myopathy characterized by glycogen accumulation and decreased abundance of mitochondrial oxidative phosphorylation complexes. Functional clustering analysis identified metabolic pathway related genes as the targets of SFPQ. These findings indicate target gene specificities and tissue-specific physiological functions of SFPQ in skeletal muscle. Overall design: We analyzed polyA-tailed RNA profiles including transcribing RNAs in gastrocnemius skeletal muscle ( from 3 control and 3 Sfpq-/- P35 male mice) using Ion-proton.

Publication Title

Loss of RNA-Binding Protein Sfpq Causes Long-Gene Transcriptopathy in Skeletal Muscle and Severe Muscle Mass Reduction with Metabolic Myopathy.

Sample Metadata Fields

Sex, Specimen part, Cell line, Subject

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accession-icon SRP124852
Loss of RNA-binding protein Sfpq causes long-gene transcriptopathy in skeletal muscle and severe muscle mass reduction with metabolic myopathy (Primary culture, rRNA depleted RNA-seq)
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIon Torrent Proton

Description

Growing evidences are suggesting that extra-long genes in mammals are vulnerable for full-gene length transcription and dysregulation of long genes is a mechanism underlying human genetic disorders. Skeletal muscle expresses Dystrophin which is 2.26 Mbp in length; however, how long-distance transcription is achieved is totally unknown. We had discovered RNA-binding protein SFPQ preferentially binds to long pre-mRNAs and specifically regulates the cluster of neuronal genes > 100 kbp. Here we investigated the roles of SFPQ for long gene expression, target specificities, and also physiological functions in skeletal muscle. Loss of Sfpq selectively downregulated genes >100 kbp including Dystrophin and caused progressive muscle mass reduction and metabolic myopathy characterized by glycogen accumulation and decreased abundance of mitochondrial oxidative phosphorylation complexes. Functional clustering analysis identified metabolic pathway related genes as the targets of SFPQ. These findings indicate target gene specificities and tissue-specific physiological functions of SFPQ in skeletal muscle. Overall design: We analyzed rRNA-depleted RNA profiles including transcribing RNAs in primary myoblasts obtained from skeletal muscles of 1-month-old SfpqSM-KO (n=1) and control (n=1) mice under differentiated condition using Ion-proton.

Publication Title

Loss of RNA-Binding Protein Sfpq Causes Long-Gene Transcriptopathy in Skeletal Muscle and Severe Muscle Mass Reduction with Metabolic Myopathy.

Sample Metadata Fields

Subject

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accession-icon SRP058842
PGC reversion to pluripotency involves erasure of DNA methylation from imprinting control centers followed by locus-specific re-methylation
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Primordial germ cells (PGCs) are fate restricted to differentiate into gametes in vivo. However when removed from their embryonic niche PGCs undergo reversion to generate pluripotent embryonic germ cells (EGCs) in vitro. One of the major differences between EGCs and embryonic stem cells (ESCs) involves variable methylation at imprinting control centers (ICCs), a phenomenon that is poorly understood. In the current study we show that reverting PGCs to EGCs involves ICC methylation erasure, which remain stably hypomethylated at Snrpn, Igf2r and Kcnqot1. In contrast, the H19/Igf2 ICC undergoes almost complete de novo remethylation. Using the same approach for PGCs differentiated in vitro from ESCs we show that the Snrpn ICC is erased however the hypomethylated state is highly unstable. We also discovered that when the H19/Igf2 ICC is abnormally hypermethylated in ESCs, ICC methylation is not erased with differentiation into PGCs. This highlights the importance of not only launching germline differentiation with correctly methylated ESC lines but also the need to better stabilize the hypomethylated state in the in vitro derivatives following ICC erasure. Overall design: RNA seq of E9.5 PGCs, iPGCs, PGCLCs and EGCs using small cell numbers from start. N=2 biological replicates in 2 technical sequencing replicates.

Publication Title

PGC Reversion to Pluripotency Involves Erasure of DNA Methylation from Imprinting Control Centers followed by Locus-Specific Re-methylation.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE150464
Role of PDK1 in Skeletal Muscle Hypertrophy Induced by Exercise Load
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Skeletal muscle mass is an important determinant of whole-body glucose disposal. We here show that mice (M-PDK1KO mice) with skeletal muscle–specific deficiency of 3'-phosphoinositide–dependent kinase 1 (PDK1), a key component of the phosphatidylinositol 3-kinase (PI3K) signaling pathway, manifest a reduced skeletal muscle mass under the static condition as well as impairment of exercise load–induced muscle hypertrophy.

Publication Title

Role of PDK1 in skeletal muscle hypertrophy induced by mechanical load.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE89997
Expression data from 2 cohorts of human pancreatic ductal adenocarcinoma (PDAC) tumors
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

In this dataset, we included expression data obtained from 30 resected human PDAC tumors, to examine what genes are differentially expressed in different cohorts that might lead to various outcomes

Publication Title

Identification of unique neoantigen qualities in long-term survivors of pancreatic cancer.

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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