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SRP127586
Homo sapiens
86 Downloadable Samples
Illumina HiSeq 4000
Description
CD34+ cord blood hematopoietic progenitors were expanded in vitro as previously described (Balan et al., J Immunol, 2014) and then differentiated on a mixed feeder layer of OP9 cells expressing or not the Notch ligand Delta-like 1, with FLT3-L, TPO and IL-7. At the end of the cultures, single live Lin- HLA-DR+ cells were index sorted in 96-well plates containing lysis buffer, and snap frozen. Four putative cell types were sorted according to their expression patterns of key combinations of cell surface markers: putative pDCs, putative cDC1s, putative pre-cDC2s and putative cDC2s. Single cell RNA-sequencing libraries were subsequently generated for 90 single cells and 6 control wells using an adaptation of Smart-Seq2 (Villani et al., Science, 2017). Cells were sequenced at a depth of 1-3M reads/cell. Overall design: A total of 90 single cells and 6 controls from one culture were processed using a protocol adapted from Smart-Seq2 protocol (Villani et al., Science, 2017), which allows for the generation of full-length single cell cDNA, and sequencing libraries were generated using Illumina Nextera XT DNA library preparation kit. A few samples (10) were profiled but excluded from the processed data since they were either bulk (5) or blank (1) control samples or excluded due to QC (4). Therefore, there are 86 samples included here.
Publication Title
Large-Scale Human Dendritic Cell Differentiation Revealing Notch-Dependent Lineage Bifurcation and Heterogeneity.
Sample Metadata Fields
Specimen part, Subject
View Samples- Homo sapiens
- 3 Downloadable Samples
- NextSeq 500
Description
For both PBMC and cells from the in vitro cultures, RNA purification and library generation was performed using the Chromium Single Cell Controller apparatus and associated protocols (10X Genomics). Libraries were sequenced by 75-bp single-end reading on a NextSeq500 sequencer (Illumina). Reads were aligned on the GRCh38 human genome assembly. Data analysis was performed using the R software package Seurat (https://github.com/satijalab/seurat) Overall design: Single cell RNA-seq data were generated on the 10X emulsion platform (10X Genomics, Pleasanton, CA) according to the manufacturer's instructions. NextSeq data from the Chromium platform were processed using CellRanger v1.3.1, and subsequent normalization, QC, filtering, and differential gene expression analysis was performed in R using Seurat v1.4.0.16.
Publication Title
Large-Scale Human Dendritic Cell Differentiation Revealing Notch-Dependent Lineage Bifurcation and Heterogeneity.
Sample Metadata Fields
Specimen part, Subject
View Samples- Homo sapiens
- 4 Downloadable Samples
- Illumina Genome Analyzer IIx
Description
Small RNA deep sequencing analysis was conducted on primary human fibroblasts infected with human cytomegalovirus (HCMV). HCMV-encoded miRNAs accumulated to ~20% of the total smRNA population at late stages of infection, and our analysis led to improvements in viral miRNA annotations and identification of novel HCMV miRNAs. Through crosslinking and immunoprecipitation of Argonaute-bound RNAs from infected cells, followed by high-throughput sequencing (Ago CLIP-seq), we obtained direct evidence for incorporation of all HCMV miRNAs into the endogenous host silencing machinery. Additionally, significant upregulation was observed during infection for a host miRNA cluster containing miR-96, miR-182 and miR-183. We also identified novel non-miRNA forms of virus-derived smRNAs, revealing greater complexity within the smRNA population during HCMV infection. Overall design: High-throughput profiling of smRNAs, Ago1-, and Ago2-associated miRNAs from HCMV-infected fibroblast cells. Wild-type HCMV Towne (Genbank FJ616285.1) was used for these studies.
Publication Title
High-resolution profiling and analysis of viral and host small RNAs during human cytomegalovirus infection.
Sample Metadata Fields
Specimen part, Treatment, Subject
View Samples- Homo sapiens
- 8 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Small subsets of B cells in the germinal center (GC) and in extrafollicular regions of lymph nodes express the activation marker CD30. Very little is known about the specific features of these cells and their relationship to the CD30-expressing Hodgkin and Reed/Sternberg (HRS) cells of Hodgkin lymphoma. Phenotypic and immunoglobulin V gene analyses revealed that CD30+ GC B lymphocytes represent typical GC B cells, and that CD30+ non-GC B cells are mostly post-GC B cells. However, despite these seemingly distinct identities, both CD30+ subsets share an unexpectedly large overlap in specific transcriptome patterns, and are strikingly different from bulk GC B cells and classical memory and plasma cells, respectively. A main common feature of these CD30+ B cells is a strong MYC signature. CD30+ GC B cells appear to represent the recently described MYC+ GC B cell subset of recirculating centrocytes at the stage of centroblast transition. CD30+ non-GC B cells rather represent highly activated and proliferating memory B cells, differentiating into plasma cells. Notably, CD30+ B cells were more similar in their transcriptome patterns to HRS cells than any other B cell subset investigated, suggesting that HRS cells may either derive from CD30+ B cells or acquired a similar activation signature. In comparison to CD30+ B cells and other lymphomas, HRS cells show a remarkable downregulation of genes regulating cell cycle, genomic stability and polyploidity, providing a potential explanation for the genomic instability and multinuclearity of HRS cells.
Publication Title
Human CD30+ B cells represent a unique subset related to Hodgkin lymphoma cells.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 3 Downloadable Samples
- Affymetrix Human Gene 2.0 ST Array (hugene20st)
Description
Gene expression profiles were compared between L-428 HRS cells transduced with shRNA against AP-1 transcription factor BATF3 and L-428 HRS cells transduced with a non-targeting shRNA as control.
Publication Title
An oncogenic axis of STAT-mediated BATF3 upregulation causing MYC activity in classical Hodgkin lymphoma and anaplastic large cell lymphoma.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 22 Downloadable Samples
- Illumina HiSeq 2500, NextSeq 550
Description
Transcriptional cofactors communicate regulatory cues from enhancers to promoters and are central effectors of transcription activation and gene expression, which is a hallmark of all multicellular organisms. However, the extent to which different cofactors display intrinsic specificity for distinct promoters is unclear. Testing intrinsic COF – core promoter (CP) compatibilities requires the systematic assessment of transcriptional activation for many CPs in the presence or absence of a given COF in an otherwise constant standardized reporter system. We therefore combined a plasmid-based high-throughput reporter assay, Self-Transcribing Active Core Promoter-sequencing (STAP-seq), with the specific recruitment of individual COFs to create a high-throughput activator bypass-like assay. Using this assay, we tested whether 5 different individually tethered human COFs (MED15, BRD4, EP300, MLL3 and EMSY) activate transcription from a selection of 12,000 candidate sequences encompassing different types of gene core promoters, enhancers and control sequences. In addition, we used the strong transcriptional activator P65 as a positive control and GFP as a negative control. We found that different COFs preferentially activate different CPs. For instance, MED15 prefers TATA-box containing CPs, while MLL3 preferentially activates CpG island promoters. The observed compatibilities between cofactors and promoters can explain how different enhancers specifically activate distinct sets of genes or alternative promoters within the same gene, and may underlie distinct transcriptional programs in human cells. Overall design: STAP-seq upon recruitment of individual transcriptional cofactor in HCT116 cells with 5 different cofactors and 2 controls, each in biological triplicate.
Publication Title
Transcriptional cofactors display specificity for distinct types of core promoters.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 12 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
WIN 18,446/RA treatment of neonatal male mice was used to synchronize spermatogenesis to 2-3 different stages of the cycle of the seminiferous epithelium in the adult testis
Publication Title
Processive pulses of retinoic acid propel asynchronous and continuous murine sperm production.
Sample Metadata Fields
Sex, Specimen part
View Samples- Gallus gallus
- 10 Downloadable Samples
- Affymetrix Chicken Genome Array (chicken)
Description
The study is relevant to an understanding of the forces that lead to sex differences in the brain and other somatic tissues. Many neural and psychiatric diseases affect men and women differently, so the understanding of sex differences in brain function impacts on our understanding of why the male and female brain differ in their susceptibility to disease.
Publication Title
Sex bias and dosage compensation in the zebra finch versus chicken genomes: general and specialized patterns among birds.
Sample Metadata Fields
No sample metadata fields
View Samples- Gallus gallus
- 10 Downloadable Samples
- Affymetrix Chicken Genome Array (chicken)
Description
The study is relevant to an understanding of the forces that lead to sex differences in the brain. Many neural and psychiatric diseases affect men and women differently, so the understanding of sex differences in brain function impacts on our understanding of why the male and female brain differ in their susceptibility to disease.
Publication Title
Sex bias and dosage compensation in the zebra finch versus chicken genomes: general and specialized patterns among birds.
Sample Metadata Fields
No sample metadata fields
View Samples- Gallus gallus
- 9 Downloadable Samples
- Affymetrix Chicken Genome Array (chicken)
Description
The study is relevant to an understanding of the forces that lead to sex differences in the brain. Many neural and psychiatric diseases affect men and women differently, so the understanding of sex differences in brain function impacts on our understanding of why the male and female brain differ in their susceptibility to disease.
Publication Title
Sex bias and dosage compensation in the zebra finch versus chicken genomes: general and specialized patterns among birds.
Sample Metadata Fields
No sample metadata fields
View Samples