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SRP148477
Homo sapiens
973 Downloadable Samples
NextSeq 500
Description
IgE antibodies mediate the symptoms of allergic reactions, yet these antibodies and the cells that produce them remain enigmatic due to their scarcity in humans. To address this, we have isolated single B cells of all isotypes, including rare IgE producing B cells, from the peripheral blood of food allergic individuals. Using single cell RNA sequencing (scRNA-seq) we have characterized the gene expression, splicing, and heavy and light chain antibody sequences of these cells.
Publication Title
High-affinity allergen-specific human antibodies cloned from single IgE B cell transcriptomes.
Sample Metadata Fields
Sex, Age, Specimen part, Disease
View Samples- Mus musculus
- 2 Downloadable Samples
Illumina MouseRef-8 v2.0 expression beadchip
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Dynamic chromatin localization of Sirt6 shapes stress- and aging-related transcriptional networks.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Mus musculus
- 2 Downloadable Samples
- Illumina MouseRef-8 v2.0 expression beadchip
Description
Sirtuins (Sirt) are a family of enzymes that modify chromatin and other proteins to affect gene activity. Loss of Sirt6 leads to a progeria-like phenotype in mice, but the target of SIRT6 action has been elusive. Here we show that Sirt6 binds to thousands of gene promoters in a stress-inducible fashion, guided by the stress-responsive transcription factor NF-B.
Publication Title
Dynamic chromatin localization of Sirt6 shapes stress- and aging-related transcriptional networks.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Mus musculus
- 426 Downloadable Samples
- NextSeq 500
Description
With the growing interest in studying primary tissue samples by single cell transcriptome analysis, there is an emerging demand for a preservation strategy that enables sample transportation and storage. In this study, we describe a simple and general strategy that preserves primary tissues at hypothermic temperature. Using FACS and single-cell RNAseq, we demonstrated the effectiveness of this strategy in maintaining cell viability, cell population heterogeneity, and cell transcriptome integrity for primary tissues that underwent up to 3 days of preservation. Overall design: Examine the impact of hypothermic preservation on mouse kidney resident immune cells over up to 4 days at single-cell resolution
Publication Title
High fidelity hypothermic preservation of primary tissues in organ transplant preservative for single cell transcriptome analysis.
Sample Metadata Fields
Cell line, Subject, Time
View Samples- Mus musculus
- 103 Downloadable Samples
- NextSeq 500
Description
Recent advances in single-cell RNAseq technologies are enabling new cell type classifications. For neurons, electrophysiological properties traditionally guide cell type classification but correlating RNAseq data with electrophysiological parameters has been difficult. Here we demonstrate RNAseq of electrophysiologically and synaptically characterized individual, patched neurons in the hippocampal CA1-region and subiculum, and relate the resulting transcriptome data to their electrical and synaptic properties. In this analysis, we explored the hypothesis that precise combinatorial interactions between matching cell-adhesion and signaling molecules shape synapse specificity. In analyzing interneurons and pyramidal neurons that are synaptically connected, we identified two independent, developmentally regulated networks of interacting genes encoding cell-adhesion, exocytosis and signal-transduction molecules. In this manner, our data allow postulating a presumed cell-adhesion and signaling code, which may explain neuronal connectivity at the molecular level. Our approach enables correlating electrophysiological with molecular properties of neurons, and suggests new avenues towards understanding synaptic specificity. Overall design: These data include 15 tissue samples (including 3 independent replicas in 5 developmental stages) as well as 93 single-cell samples (including CA1 cholecystokinin, parvalbumin, and pyramidal neurons as well as subiculum burst and regular firing pyramidal neurons).
Publication Title
Single-cell RNAseq reveals cell adhesion molecule profiles in electrophysiologically defined neurons.
Sample Metadata Fields
Specimen part, Disease, Subject
View Samples- Homo sapiens
- 48 Downloadable Samples
- IlluminaGenomeAnalyzerII, IlluminaHiSeq2000
Description
Circulating cell-free RNA in the blood provides a potential window into the health, phenotype, and developmental programs of a variety of human organs. We used high-throughput methods of RNA analysis such as microarrays and next-generation sequencing to characterize the global landscape of circulating RNA in human subjects. By focusing on tissue-specific genes, we were able to identify the relative contributions of these tissues to circulating RNA and monitor changes during tissue development and neurodegenerative disease states.
Publication Title
Noninvasive in vivo monitoring of tissue-specific global gene expression in humans.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 48 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Circulating cell-free RNA in the blood provides a potential window into the health, phenotype, and developmental programs of a variety of human organs. We employed high throughput methods of RNA analysis such as microarrays and next-generation sequencing to characterize the global landscape circulating RNA in a cohort of human subjects. By focusing on genes whose expression is highly specific to certain tissues, we were able to identify the relative contributions of these tissues to circulating RNA, and to monitor changes in tissue development and health.
Publication Title
Noninvasive in vivo monitoring of tissue-specific global gene expression in humans.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 113 Downloadable Samples
- IlluminaHiSeq2000
Description
We generated single-cell transcriptomes from a large number of single cells using several commercially available platforms, in both microliter and nanoliter volumes, and compared performance between them. We benchmarked each method to conventional RNA-seq of the same sample using bulk total RNA, as well as to multiplexed qPCR, which is the current gold standard for quantitative single-cell gene expression analysis. In doing so, we were able to systematically evaluate the sensitivity, precision, and accuracy of various approaches to single-cell RNA-seq. Our results show that it is possible to use single-cell RNA-seq to perform quantitative transcriptome measurements of individual cells, that it is possible to obtain quantitative and accurate gene expression measurements with a relatively small number of sequencing reads, and that when such measurements are performed on large numbers of cells, one can recapitulate the bulk transcriptome complexity, and the distributions of gene expression levels found by single-cell qPCR. Overall design: 109 single-cell human transcriptomes were analyzed in total; 96 using nanoliter volume sample processing on a microfluidic platform, Nextera library prep (biological replicates); 3 using the SMARTer cDNA synthesis kit, Nextera library prep (biological replicates); 3 using the Transplex cDNA synthesis kit, Nextera library prep (biological replicates); 7 using the Ovation Nugen cDNA synthesis kit (biological replicates) where 3 used Nextera library prep and 4 used NEBNext library prep. In addition, 4 bulk RNA samples were sequenced: bulk RNA generated using ~1 million pooled cells was used to make bulk libraries, 2 of which were made using SMARTer cDNA synthesis kit (technical replicates) and 2 made using Superscript RT kit with no amplification (technical replicates). All 4 bulk samples were made into libraries using Nextera.
Publication Title
Quantitative assessment of single-cell RNA-sequencing methods.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 365 Downloadable Samples
- NextSeq 500
Description
We generated single-cell RNAseq profiles of 369 microglia (183 from wild type and 186 from Trem2 knock-out), sorted in the gate CD45lowCD11+ or CD45lowCD11+Gpnmb+Clec7a+ (PAM enrichment), to compare gene expression of wild type vs. Trem2 knock-out microglia on the postnatal day 7. Single cells were FACS index sorted from the whole brain followed by Smart-seq2 library preparation and Illumina Nextseq (sequence depth > 1 million per cell). A total of 334 cells passed quality control for data analysis. Microglia in the Trem2 knock-out contained a similar PAM population with characteristic gene expression, suggesting that the presence of early postnatal PAM do not depend on TREM2. Overall design: Single microglia were FACS sorted from male animals (C57BL/6J background) into 96-well plates. Libraries were prepared with a semi-automated Smart-seq2 protocol. Three QC criteria were used (Y=passed, N=not passed), and only cells that passed all three criteria were used for downstream analysis.
Publication Title
Developmental Heterogeneity of Microglia and Brain Myeloid Cells Revealed by Deep Single-Cell RNA Sequencing.
Sample Metadata Fields
Specimen part, Cell line, Subject
View Samples- Mus musculus
- 143 Downloadable Samples
- NextSeq 500
Description
We generated single-cell RNAseq profiles of 143 microglia, sorted in the gate CD45lowCD11+Gpnmb+Clec7a+, from postnatal day 7 cerebellum to validate the newly identified “proliferative region-associated microglia (PAM)” (Gpnmb and Clec7a are PAM surface markers). Single cells were FACS index sorted followed by Smart-seq2 library preparation and Illumina Nextseq (sequence depth > 1 million per cell). These cells showed characteristic PAM gene expression and clustered together with other PAM cells sequenced in the same study. Overall design: Single microglia were FACS sorted from pooled male animal samples (C57BL/6N) into 96-well plates. Libraries were prepared with a semi-automated Smart-seq2 protocol. All 143 cells passed the three QC criteria (Y=passed).
Publication Title
Developmental Heterogeneity of Microglia and Brain Myeloid Cells Revealed by Deep Single-Cell RNA Sequencing.
Sample Metadata Fields
Specimen part, Cell line, Subject
View Samples