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SRP093880
Mus musculus
118 Downloadable Samples
NextSeq 500
Description
In multicellular organisms, dedicated regulatory circuits control cell-type diversity and response. The crosstalk and redundancies within these circuits and substantial cellular heterogeneity pose a major research challenge. We present CRISP-seq, an integrated method for massively parallel single-cell RNA-seq and CRISPR pooled screens. We show that profiling the perturbation and transcriptome in the same cell, enables to elucidate, the function of multiple factors and their interactions. In this benchmarking study, we applied this technology to probe regulatory circuits of innate immunity. By sampling tens of thousands of perturbed cells in vitro and in mice, we identified interactions and redundancies between developmental and signaling-dependent factors controlling the commitment toward different cell lineages or the inflammatory and antiviral pathways. CRISP-seq thereby emerges as a broadly applicable, comprehensive, and unbiased approach for elucidating mammalian regulatory circuits. Overall design: Transcriptional and CRISPR profiles from single myeloid cells, infected with lentiviral vectors carrying different gRNAs, were generated by deep sequencing of tens of thousands of single cells, sequenced in several batches in an Illumina Nextseq 500. Experiment was paired-end, but read2 was used to read cell and molecule barcodes only. Additional details about experimental design (associating each single cell with its amplification batch and index sorting readout) available as Series supplementary file.
Publication Title
Dissecting Immune Circuits by Linking CRISPR-Pooled Screens with Single-Cell RNA-Seq.
Sample Metadata Fields
Specimen part, Cell line, Treatment, Subject
View Samples- Homo sapiens
- 135 Downloadable Samples
- NextSeq 500
Description
Multiple myeloma (MM), a plasma cell (PC) malignancy, is the second most common blood cancer. Despite extensive research, disease heterogeneity within and between patients is poorly characterized, hampering efforts for early diagnosis and improved treatments. Here, we apply single cell RNA-seq to study the heterogeneity of 40 individuals along the MM progression spectrum. We define malignant PC at single cell resolution, demonstrating high inter-patient variability that can be explained by expression of known MM drivers and additional putative factors. Within newly diagnosed patients, we identify extensive sub-clonal structures for 10/29 patients. In asymptomatic patients with early disease and in minimal residual disease post-treatment, we detect tumor PC for a subset of the patients, with the same drivers of active myeloma. Single cell analysis of rare circulating tumor cells (CTC) allows detection of malignant PC, which reflect the BM disease. Our work establishes scRNA-seq for dissecting blood malignancies and devising detailed molecular characterization of tumor cells in symptomatic and asymptomatic patients. Overall design: The study includes 29 newly diagnosed patients with plasma cell neoplasms and 11 control donors, for which bone marrow plasma cells were single cell sorted by FACS, and their mRNA sequenced. For 11 patients, targeted genomic DNA panel analysis for myeloma was performed.
Publication Title
Single cell dissection of plasma cell heterogeneity in symptomatic and asymptomatic myeloma.
Sample Metadata Fields
Specimen part, Treatment, Subject
View Samples- Homo sapiens
- 8 Downloadable Samples
- Illumina HiSeq 2000
Description
We have generated stable human ESCs (H9) expressing control or DAP5-targeting shRNA. Polysome profiles reveal no major changes in overall translation. PolyA+ RNA and RNA accociated with heavy polysomal fractions were purified in biological duplicates and sequenced using Illumina HiSeq 2000 instrument. We identified 122 potential mRNA targets of DAP5 translation that display reduced ribosomal loading, and hence reduced translation, in the absence of DAP5. Overall design: Total mRNA and heavy polylsomal fractions from shNT and shDAP5 expressing hESCs, each in duplicate, was deep sequenced.
Publication Title
Cap-independent translation by DAP5 controls cell fate decisions in human embryonic stem cells.
Sample Metadata Fields
Subject
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