Project description:Since the discovery of adult neural stem cells, their exact identity is still under discussion. Moreover, the lack of a reproducible procedure to purify neural stem cells prospectively rather than by growing them in vitro has so far precluded their study at the transcriptome level. Here we demonstrate a novel procedure to prospectively isolate neural stem cells from the adult mouse subependymal zone on the basis of their GFAP- and prominin1-expression by fluorescence-activated cell sorting. All self-renewing, multipotent stem cells are contained in this fraction at 70% purity. The stem cell identity of these double-positive cells is further demonstrated in vivo, by using a novel split-Cre-technology for fate mapping. Comparison of the transcriptome of these prospectively isolated neural stem cells to the transcriptomes of other astrocytes or ependymal cells revealed a distinct clustering of the stem cells, highlighting their unique features, as well as profound similarities to the astrocyte as well as ependyma transcriptome.
Project description:Since the discovery of adult neural stem cells, their exact identity is still under discussion. Moreover, the lack of a reproducible procedure to purify neural stem cells prospectively rather than by growing them in vitro has so far precluded their study at the transcriptome level. Here we demonstrate a novel procedure to prospectively isolate neural stem cells from the adult mouse subependymal zone on the basis of their GFAP- and prominin1-expression by fluorescence-activated cell sorting. All self-renewing, multipotent stem cells are contained in this fraction at 70% purity. The stem cell identity of these double-positive cells is further demonstrated in vivo, by using a novel split-Cre-technology for fate mapping. Comparison of the transcriptome of these prospectively isolated neural stem cells to the transcriptomes of other astrocytes or ependymal cells revealed a distinct clustering of the stem cells, highlighting their unique features, as well as profound similarities to the astrocyte as well as ependyma transcriptome. FACS-sorting was used to isolate prospective neural stem, astrocytes and ependymal cells from brain regions of hGFAP eGFP expressing mice. Total RNA from these cells was hybridised on Affymetrix MOE430 2.0 arrays and expression patterns were analysed.
Project description:A transcriptome study in mouse hematopoietic stem cells was performed using a sensitive SAGE method, in an attempt to detect medium and low abundant transcripts expressed in these cells. Among a total of 31,380 unique transcript, 17,326 (55%) known genes were detected, 14,054 (45%) low-copy transcripts that have no matches to currently known genes. 3,899 (23%) were alternatively spliced transcripts of the known genes and 3,754 (22%) represent anti-sense transcripts from known genes.
Project description:A transcriptome study in mouse hematopoietic stem cells was performed using a sensitive SAGE method, in an attempt to detect medium and low abundant transcripts expressed in these cells. Among a total of 31,380 unique transcript, 17,326 (55%) known genes were detected, 14,054 (45%) low-copy transcripts that have no matches to currently known genes. 3,899 (23%) were alternatively spliced transcripts of the known genes and 3,754 (22%) represent anti-sense transcripts from known genes. Mouse hematopoietic stem cells were purified from bone marrow cells using negative and positive selection with a Magnetic-Activated Cell Sorter (MACS). total RNA and mRNA were purified from the purified cells using Trizol reagent and magnetic oligo dT beads. Double strand cDNAs were synthesized using a cDNA synthesis kit and anchored oligo dT primers. After NlaIII digestion, 3’ cDNAs were isolated and amplified through 16-cycle PCR. SAGE tags were released from the 3’ cDNA after linker ligation. Ditags were formed, concatemerized and cloned into a pZERO vector. Sequencing reactions were performed with the ET sequencing terminator kit. Sequences were collected using a Megabase 1000 sequencer. SAGE tag sequences were extracted using SAGE 2000 software.