Loading

Cell View

Cell Information

  MCF10a human breast cancer 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 MCF10a human breast cancer cells

Displaying 61-70 of 102 results.
SeriesSampleInstrumentOrganismTitleCell Source
GSE66357GSM1620707Illumina NextSeq 500Homo sapiensPS034_R2_4_894MCF10a human breast cancer cells
GSE66357GSM1620708Illumina NextSeq 500Homo sapiensPS034_R2_4_9MCF10a human breast cancer cells
GSE66357GSM1620709Illumina NextSeq 500Homo sapiensPS034_R2_4_909MCF10a human breast cancer cells
GSE66357GSM1620710Illumina NextSeq 500Homo sapiensPS034_R2_4_914MCF10a human breast cancer cells
GSE66357GSM1620711Illumina NextSeq 500Homo sapiensPS034_R2_4_930MCF10a human breast cancer cells
GSE66357GSM1620712Illumina NextSeq 500Homo sapiensPS034_R2_4_932MCF10a human breast cancer cells
GSE66357GSM1620713Illumina NextSeq 500Homo sapiensPS034_R2_4_955MCF10a human breast cancer cells
GSE66357GSM1620714Illumina NextSeq 500Homo sapiensPS034_R2_4_956MCF10a human breast cancer cells
GSE66357GSM1620715Illumina NextSeq 500Homo sapiensPS034_R2_4_959MCF10a human breast cancer cells
GSE66357GSM1620716Illumina NextSeq 500Homo sapiensPS034_R2_4_97MCF10a human breast cancer cells

Gene rank in MCF10a human breast cancer cells

Displaying 11-20 of 18975 results.
Rank orderGene SymbolEnsembl ID
11MT-ATP6ENSG00000198899
12ACTBENSG00000075624
13RPLP0ENSG00000089157
14MT-ND1ENSG00000198888
15FTH1ENSG00000167996
16RPS3AENSG00000145425
17ACTG1ENSG00000184009
18RPL9ENSG00000163682
19RPS12ENSG00000112306
20RPS27AENSG00000143947