Biological sense: for years, tracking a single-cell transcriptome, is beyond our ability. But now The Times have changed, and new methods of

single cell RNA - seq, can analyze a large number of cells and their destiny. We've all been involved in a large birthday party: in a crowded

room, and many people chat, eat and celebrate. But, just think you don't know who is the birthday girl, just like a outsiders look at the

party. You may feel the whole thing looks much different with other's birthday party. Party, however, everyone is a unique role to play in

longevity life story. So, if you don't know every guest and their characters, an outsider might make the wrong assumptions, or mistake of the

man at the party. Complex organ cells composition, somewhat akin to a birthday party. Cell groups gathered at a certain point, the

implementation of key functions, form a kind of organs. Cells play a role in different ways, in particular the timing of the specific duties.

(as in the party, different people bring gifts, food, or to help arrange the activity). From the technical point of view, careful analysis of

how these cells work alone, make an organ, has brought the huge challenge for researchers. However, as the scientists constantly design clever

new technology, combing every cell in the process of many complex, the role of these challenges will gradually disappear. At the weizmann

institute of the immune system Ido Amit faced with this situation. Determination of transcription of a limited number of cell groups,

especially those who have been using special markers isolated cells, therefore, the process of complex cells and the role of each cell, can

only provide limited understanding. In addition, the fair information is needed to understand from each unique transcription profile obtained

by the analysis of the cell. In order to solve this flux limit, produce the high capacity of the transcriptome data, Amit and his colleagues

have developed a massively parallel RNA - seq workflow, can decipher hundreds or even thousands of transcriptome, at the same time without the

need for a specific tags, related research findings are published in Science magazine in April this year. The work process is the key, can

collect single-celled samples, then the barcode and multiple RNA - seq reaction. At first, by fluorescence activated cell sorting (both FACS)

will be a single cell classification into 384 - well plates. Then, using the tag material and three levels of barcoding, focus on cells. Amit

team used the workflow, to determine the more than 4000 mice spleen cell RNA, the cells were concentrated for expressing CD11c surface markers.

Multiplexing experiment can make 1536 cells in a single sequencing orbit, in 200 and 1500 different from each cell RNA molecules, produce 22000

aligned to read long (reads). Found that similar to the Rinn Amit data also show that the height of the large number of genes cell mutation,

this clearly shows that the detection of spleen cells have heterogeneity, and have the opportunity to find a new regulation factors and

pathways. - seq method and analysis tool in recent years, the RNA had the very big enhancement, this makes the single-cell analysis can not

only show the variation, also, provides a way for researchers to understand the biological significance behind the transcriptional variation.