Turning a sequence barcode into a spectral barcode for single-cell analysis.

项目总结： 序列条形码的使用使单细胞的高通量转录分析成为可能。但只有一个 挑战仍然存在-没有方法来映射单个细胞和下游的物理评估 将单个细胞转录成同一来源的细胞的数据。这是因为目前序列条形码 仅通过在所有单个细胞裂解后发生的测序来读取，反转录完成， 和cDNAs进行扩增和拼接。为了进行转录分析和体格评估 同样的单个细胞，我们将需要一种方法，使我们能够破译序列条形码，而在 单细胞物理讯问的过程。我们在这项拟议的研究中的目标是开发一种新的方法来 将序列条形码转换为可在该过程中本地读取的光谱条形码。建议的次序如下： 条码读取技术，如果能够实现，将对单细胞社区产生实质性的影响，因为它 将成为将物理评估和下游分子分析数据映射到 以高通量、流线型格式提供相同来源的细胞。

Project Summary: The use of sequence barcodes has enabled high-throughput transcriptomic analysis of single cells. But one challenge remains – there is no method to map the physical assessments of single cells and the downstream transcriptomic data of single cells to the same cells of origin. This is because currently sequence barcodes are only read by sequencing which takes place after all single cells are lysed, reverse transcription is completed, and cDNA are amplified and pooled. In order to perform transcriptomic analysis and physical assessments on the same single cells, we will need a method that allows us to decipher the sequence barcodes while in the process of single-cell physical interrogation. Our goal in this proposed research is to develop a new method to turn sequence barcodes into spectral barcodes that can be read locally in the process. The proposed sequence- barcode-reading technique, if it can be realized, will have substantial impact to the single-cell community as it will become the only method to map the physical assessments and the downstream molecular analysis data to the same cells of origin in a high-throughput, streamlined format.