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SRP140536
Homo sapiens
287 Downloadable Samples
Illumina HiSeq 2500
Description
Breast cancer arises from breast epithelial cells that acquire genetic alterations leading to subsequent loss of tissue homeostasis. Several distinct epithelial subpopulations have been proposed, but complete understanding of the spectrum of heterogeneity and differentiation hierarchy in the human breast remains elusive. Here, we used single-cell mRNA sequencing (scRNAseq) to profile the transcriptomes of 25,790 primary human breast epithelial cells isolated from reduction mammoplasties of seven individuals. Unbiased clustering analysis reveals the existence of three distinct epithelial cell populations, one basal and two luminal cell types, which we identify as secretory L1- and hormone-responsive L2-type cells. Pseudotemporal reconstruction of differentiation trajectories produc one continuous lineage hierarchy that closely connects the basal lineage to the two differentiated luminal branches. Our comprehensive cell atlas provides novel insights into cellular blueprint of the human breast epithelium and will form the foundation to understand how the system goes awry during breast cancer. Overall design: Microfluidics-enabled Single Cell RNA sequencing libraries were generated for 3 adult human women using the Fluidigm C1 and sequenced on the Illumina HighSeq 2500
Publication Title
Single-cell landscape in mammary epithelium reveals bipotent-like cells associated with breast cancer risk and outcome.
Sample Metadata Fields
Sex, Specimen part, Subject
View Samples- Homo sapiens
- 294 Downloadable Samples
- Illumina HiSeq 2500
Description
Breast cancer arises from breast epithelial cells that acquire genetic alterations leading to subsequent loss of tissue homeostasis. Several distinct epithelial subpopulations have been proposed, but complete understanding of the spectrum of heterogeneity and differentiation hierarchy in the human breast remains elusive. Here, we used single-cell mRNA sequencing (scRNAseq) to profile the transcriptomes of 25,790 primary human breast epithelial cells isolated from reduction mammoplasties of seven individuals. Unbiased clustering analysis reveals the existence of three distinct epithelial cell populations, one basal and two luminal cell types, which we identify as secretory L1- and hormone-responsive L2-type cells. Pseudotemporal reconstruction of differentiation trajectories produc one continuous lineage hierarchy that closely connects the basal lineage to the two differentiated luminal branches. Our comprehensive cell atlas provides novel insights into cellular blueprint of the human breast epithelium and will form the foundation to understand how the system goes awry during breast cancer. Overall design: Microfluidics-enabled Single Cell RNA sequencing libraries were generated for 3 adult human women using the Fluidigm C1 and sequenced on the Illumina HighSeq 2500
Publication Title
Single-cell landscape in mammary epithelium reveals bipotent-like cells associated with breast cancer risk and outcome.
Sample Metadata Fields
Sex, Specimen part, Subject
View Samples- Homo sapiens
- 159 Downloadable Samples
Description
Breast cancer arises from breast epithelial cells that acquire genetic alterations leading to subsequent loss of tissue homeostasis. Several distinct epithelial subpopulations have been proposed, but complete understanding of the spectrum of heterogeneity and differentiation hierarchy in the human breast remains elusive. Here, we used single-cell mRNA sequencing (scRNAseq) to profile the transcriptomes of 25,790 primary human breast epithelial cells isolated from reduction mammoplasties of seven individuals. Unbiased clustering analysis reveals the existence of three distinct epithelial cell populations, one basal and two luminal cell types, which we identify as secretory L1- and hormone-responsive L2-type cells. Pseudotemporal reconstruction of differentiation trajectories produc one continuous lineage hierarchy that closely connects the basal lineage to the two differentiated luminal branches. Our comprehensive cell atlas provides novel insights into cellular blueprint of the human breast epithelium and will form the foundation to understand how the system goes awry during breast cancer. Overall design: Microfluidics-enabled Single Cell RNA sequencing libraries were generated for 3 adult human women using the Fluidigm C1 and sequenced on the Illumina HighSeq 2500
Publication Title
Single-cell landscape in mammary epithelium reveals bipotent-like cells associated with breast cancer risk and outcome.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 102 Downloadable Samples
Affymetrix Human Genome U133A Array (hgu133a)
Description
Karyotypic instability, including numerical and structural chromosomal aberrations, represents a distinct feature of multiple myeloma (MM). 40-50% of patients displayed hyperdiploidy, defined by recurrent trisomies of non-random chromosomes. To characterize hyperdiploid (H) and nonhyperdiploid (NH) MM molecularly, we analyzed the gene expression profiles of 66 primary tumors, and used FISH to investigate the major chromosomal alterations. The differential expression of 225 genes mainly involved in protein biosynthesis, transcriptional machinery and oxidative phosphorylation distinguished the 28 H-MM from the 38 NH-MM cases. The 204 upregulated genes in H-MM mapped mainly to the chromosomes involved in hyperdiploidy, and the29% up-regulated genes in NH-MM mapped to 16q. The identified transcriptional fingerprint was robustly validated on a publicly available gene expression dataset of 64 MM cases; and the global expression modulation of regions on the chromosomes involved in hyperdiploidy was verified using a self-developed non-parametric statistical method. We showed that H-MM could be further divided into two distinct molecular and transcriptional entities, characterized by the presence of trisomy 11 and 1q-extracopies/chromosome 13 deletion, respectively. Our data reinforce the importance of combining molecular cytogenetics and gene expression profiling to define a genomic framework for the study of MM pathogenesis and clinical management.
Publication Title
Upregulation of translational machinery and distinct genetic subgroups characterise hyperdiploidy in multiple myeloma.
Sample Metadata Fields
Sex
View Samples- Homo sapiens
- 90 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Background and objective: The chromosome 13 deletion (del(13)) represents one of the most frequent chromosomal alterations in multiple myeloma (MM). del(13) is associated with an unfavorable prognosis, although there is an increasing agreement that its prognostic relevance has to be related to the ploidy status and the presence of different chromosomal translocations. This study is aimed at providing a comprehensive analysis of the transcriptional features of del(13) in MM. Design and methods: Highly purified plasma cells from 80 newly diagnosed MM patients were characterized by means of FISH and high-density oligonucleotide microarray for gene expression profiling and chromosomal alterations. Results: We identified 67 differentially expressed genes in the del(13)+ and del(13)- groups, all of which downregulated in the del(13)+ cases: 44 mapped along the whole chromosome 13, seven on chromosome 11 and three on chromosome 19. Functional analyses of the selected genes indicated their involvement in protein biosynthesis, ubiquitination and transcriptional regulation. An integrative genomic approach based on regional analyses of the gene expression data identified distinct chromosomal regions whose global expression modulation could differentiate del(13)+, in particular the upregulation of 1q21-1q42 and the downregulation of 19p and almost the entire chromosome 11. FISH analyses confirmed the close relationship between del(13)+ and the presence of extracopies of 1q21-1q42 (P=6x10-4) or the absence of chromosome 11 and 19 trisomy (P=5x10-4). Interpretation and conclusions: Our results indicate that distinct types of chromosomal aberrations are closely related to the transcriptional profiles of del(13)+, suggesting that the contribution of del(13) on the malignancy should be considered together with associated abnormalities.
Publication Title
Integrative genomic analysis reveals distinct transcriptional and genetic features associated with chromosome 13 deletion in multiple myeloma.
Sample Metadata Fields
Sex
View Samples- Ovis aries
- 52 Downloadable Samples
- Ion Torrent Proton, Illumina HiSeq 2500
Description
RNA seq analysis of laser capture microdissected luminal and glandular epithelium from ewes on day of pregnancy 10, 12, 14, 16 and 20. As well as RNA seq of whole conceptuses, and trophectoderm tissue from day 12, 14, 16 and 20 of pregnancy. Determination of gene expression changes in the uterine epithelium and conceptus during early pregnancy helps to improve our understanding of early pregnancy events and provides a basis of new strategies to improve fertility and reproductive efficiency in ruminants. Overall design: RNA seq analysis of 4 samples of each tissue type (luminal epithelium (LE), glandular epithelium (GE) and conceptus) for 4 animals. Pre-sequencing amplification of LE, GE and day 12 conceptus samples.
Publication Title
Analysis of the Uterine Epithelial and Conceptus Transcriptome and Luminal Fluid Proteome During the Peri-Implantation Period of Pregnancy in Sheep.
Sample Metadata Fields
Specimen part, Subject
View Samples- Homo sapiens
- 15 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
To determine a gene/molecular fingerprint of multiple myeloma (MM) endothelial cells (MMECs), also identifying some of the vascular mechanisms that govern the malignant progression from quiescent monoclonal gammopathy of undetermined significance (MGUS). A comparative gene expression profiling (GEP) was carried out on patient-derived MMECs and MGUS endothelial cells (MGECs) using the Affymetrix U133A Arrays. Expression of selective vascular markers were also validated by RT-PCR and immunoblotting analysis in primary cultures of ECs isolated from total bone marrow (BM)-mononuclear cells. Twenty-two genes were found differently expressed in MMECs compared to MGECs (with 14 down-regulated and 8 up-regulated), thus proving that molecular differences were maintained in vitro. Specific pathways analysis revealed transcriptional and protein expression changes for key regulators of extracellular matrix formation and bone remodeling, cell-adhesion, chemotaxis, angiogenesis, resistance to apoptosis, and cell-cycle regulation. Specifically, we focused on six of these genes (DIRAS3, SERPINF1, SRPX, BNIP3, IER3 and SEPW1), which were not previously functionally correlated to the overangiogenic phenotype of MMECs and disease activity. These data identified distinct EC gene expression profiles and some vascular phenotypes that could influence the remodeling of the BM-microenvironment in patients with active MM. A better understanding of the linkage between genetic and epigenetic events in MM tumor/ECs may contribute to the molecular classification of the disease, thereby identifying selective targets of more effective anti-vessel/stroma therapeutic strategies.
Publication Title
Gene expression profiling of bone marrow endothelial cells in patients with multiple myeloma.
Sample Metadata Fields
Sex
View Samples- Homo sapiens
- 51 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
This series of microarray experiments contains the gene expression profiles of purified plasma cells (PCs) obtained from 7 monoclonal gammopathy of undetermined significance (MGUS), 39 newly diagnosed multiple myeloma (MM) and 6 plasma-cell leukaemia (PCL) patients. PCs were purified from bone marrow Seriess, after red blood cell lysis with 0.86% ammonium chloride, using CD138 immunomagnetic microbeads. The purity of the positively selected PCs was assessed by morphology and flow cytometry and was > 90% in all cases. 5 micrograms of total RNA was processed and hybridized to the Affymetrix HG-U133A chip following the manufacturer's instructions. After scanning, the images were processed using Affymetrix MicroArray Suite (MAS) 5.0 software to generate gene expression intensity values. Arrays normalization was performed using MAS 5.0 "global scaling" procedure, which normalizes the signals of different experiments to the same target intensity (TGT=100).
Publication Title
Gene expression profiling of plasma cell dyscrasias reveals molecular patterns associated with distinct IGH translocations in multiple myeloma.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 6 Downloadable Samples
- Illumina HiSeq 3000
Description
Dysfunctions in mitochondria dynamics and metabolism are common pathological processes associated with Parkinson's disease (PD). Recently, it was shown that an inherited form of PD and dementia is caused by new mutations in the OPA1 gene, which encodes for a key player of mitochondrial fusion and structure. iPSC-derived neural cells from these patients exhibited severe mitochondrial fragmentation, respiration impairment, ATP deficits and heightened oxidative stress. Reconstitution of normal levels of OPA1 in PD-derived neural cells normalized mitochondria morphology and function. OPA1 mutated neuronal cultures showed reduced survival in vitro. Intriguingly, selective inhibition of necroptosis effectively rescued this survival deficit. Additionally, dampening necroptosis in MPTP treated mice protected from DA neuronal cell loss. This human iPSC-based model captures both the early pathological events in OPA1 mutant neural cells and the beneficial effects of blocking necroptosis, highlighting this cell death process as a promising therapeutic target for PD. Overall design: 3 replicates for control and 3 replicates for OPA1 F38D mutant cells
Publication Title
Pharmacological Inhibition of Necroptosis Protects from Dopaminergic Neuronal Cell Death in Parkinson's Disease Models.
Sample Metadata Fields
Specimen part, Subject
View Samples- Bos taurus
- 201 Downloadable Samples
- NextSeq 500
Description
This study relates to pregnancy outcome after assisted reproduction of fertility-classified cattle. The aim is to investigate how the uterine environment impacts and programs conceptus survival and development. The study found that ripple effects of dysregulated conceptus-endometrial interactions elicit post-elongation pregnancy loss in subfertile animals during the implantation period. Overall design: Heifer cows classified as high fertile (HF), subfertile (SF), or infertile (IF) were investigated. The RNA-seq analysis was performed for endometrium samples at day 17 of pregnancy. For comparison, non-pregnant cows were included in the analysis. RNA from conceptus of HF and SF pregnant animals (day 17) were also included in the RNA-seq analysis. A total of 25 endometrium samples (5 non-pregnant of each fertilty group, 5 pregnant HF, and 5 pregnant SF) and 27 conceptus samples (10 SF and 17 HF) were used in the RNA-seq analysis.
Publication Title
Uterine influences on conceptus development in fertility-classified animals.
Sample Metadata Fields
Specimen part, Subject
View Samples