Project description:We performed single-cell RNA-seq analysis with CITE-seq and cell hashing of total viable aortic cells from Ldlr-/- mice fed a high fat diet for 13 weeks
Project description:the aim 1 was to evaluate hashing (sample multiplexing) accuracy of TotalSeq-B antibodies and CellPlex (a multiplexing solution from 10x Genomics) on 2 pools of PBMCs from 3 different donors. Thus the genetic difference between donors was used as a ground truth for sample demultiplexing based on antibody or lipid hashing hashing. the aim 2 was to evaluate TotalSeq antibody and lipid hashing on different mice primary tissues using different hashing protocols.
Project description:Although classical single cell RNA analysis is a very powerful tool, it nevertheless has several drawbacks. To overcome these two disadvantages, the cell hashing technique seems interesting. In this work, we propose to test the feasibility and the reliability of the single cell hashing technique on primary AML cells. For this purpose, we compared the transcriptomic profile of AML cells analyzed by the classical single-cell RNA sequencing approach versus the cell hashing technique.