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  U87 human glioma cells

Overall DesignA microfluidic device that pairs sequence-barcoded mRNA capture beads with individual cells was used to barcode cDNA from individual cells which was then pre-amplified by in vitro transcription in a pool and converted into an Illumina RNA-Seq library. Libraries were generated from ~600 individual cells in parallel and extensive analysis was done on 396 cells from the U87 and MCF10a cell lines and from ~500 individual cells with extensive analysis on 247 cells from the U87 and WI-38 cell lines. Sequencing was done on the 3'-end of the transcript molecules. The first read contains cell-identifying barcodes that were present on the capture bead and the second read contains a unique molecular identifier (UMI) barcode, a lane-identifying barcode, and then the sequence of the transcript.
SummarySingle cell transcriptomics has emerged as a powerful approach to dissecting phenotypic heterogeneity in complex, unsynchronized cellular populations. However, many important biological questions demand quantitative analysis of large numbers of individual cells. Hence, new tools are urgently needed for efficient, inexpensive, and parallel manipulation of RNA from individual cells. We report a simple microfluidic platform for trapping single cell lysates in sealed, picoliter microwells capable of “printing” RNA on glass or capturing RNA on polymer beads. To demonstrate the utility of our system for single cell transcriptomics, we developed a highly scalable technology for genome-wide, single cell RNA-Seq. The current implementation of our device is pipette-operated, profiles hundreds of individual cells in parallel with library preparation costs of ~$0.10-$0.20/cell, and includes five lanes for simultaneous experiments. We anticipate that this system will ultimately serve as a general platform for large-scale single cell transcriptomics, compatible with both imaging and sequencing readouts.type = Expression profiling by high throughput sequencing
Dataset viewGSE66357
PMID26047807

Samples in U87 human glioma cells

Displaying 101-110 of 138 results.
SeriesSampleInstrumentOrganismTitleCell Source
GSE66357GSM1683245Illumina NextSeq 500Homo sapiensPS041-2_R2_0_511U87 human glioma cells
GSE66357GSM1683246Illumina NextSeq 500Homo sapiensPS041-2_R2_0_518U87 human glioma cells
GSE66357GSM1683247Illumina NextSeq 500Homo sapiensPS041-2_R2_0_537U87 human glioma cells
GSE66357GSM1683248Illumina NextSeq 500Homo sapiensPS041-2_R2_0_558U87 human glioma cells
GSE66357GSM1683249Illumina NextSeq 500Homo sapiensPS041-2_R2_0_569U87 human glioma cells
GSE66357GSM1683250Illumina NextSeq 500Homo sapiensPS041-2_R2_0_570U87 human glioma cells
GSE66357GSM1683251Illumina NextSeq 500Homo sapiensPS041-2_R2_0_571U87 human glioma cells
GSE66357GSM1683252Illumina NextSeq 500Homo sapiensPS041-2_R2_0_59U87 human glioma cells
GSE66357GSM1683253Illumina NextSeq 500Homo sapiensPS041-2_R2_0_599U87 human glioma cells
GSE66357GSM1683254Illumina NextSeq 500Homo sapiensPS041-2_R2_0_610U87 human glioma cells

Gene rank in U87 human glioma cells

Displaying 1-10 of 18975 results.
Rank orderGene SymbolEnsembl ID
1MIR4485
2MT-CO1ENSG00000198804
3MT-ND4ENSG00000198886
4NEAT1ENSG00000245532
5MT-CO3ENSG00000198938
6MT-CYBENSG00000198727
7GAPDHENSG00000111640
8MALAT1ENSG00000251562
9MT-ATP6ENSG00000198899
10MT-CO2ENSG00000198712