Dataset Information

Latent tri-lineage potential of adult hippocampal neural stem cells revealed by Nf1 inactivation.

ABSTRACT: Endogenous neural stem cells (NSCs) in the adult hippocampus are considered to be bi-potent, as they only produce neurons and astrocytes in vivo. In mouse, we found that inactivation of neurofibromin 1 (Nf1), a gene mutated in neurofibromatosis type 1, unlocked a latent oligodendrocyte lineage potential to produce all three lineages from NSCs in vivo. Our results suggest an avenue for promoting stem cell plasticity by targeting barriers of latent lineage potential.

SUBMITTER: Sun GJ

PROVIDER: S-EPMC4661096 | biostudies-literature | 2015 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Latent tri-lineage potential of adult hippocampal neural stem cells revealed by Nf1 inactivation.

Sun Gerald J GJ Zhou Yi Y Ito Shiori S Bonaguidi Michael A MA Stein-O'Brien Genevieve G Kawasaki Nicholas K NK Modak Nikhil N Zhu Yuan Y Ming Guo-li GL Song Hongjun H

Nature neuroscience 20151102 12

Endogenous neural stem cells (NSCs) in the adult hippocampus are considered to be bi-potent, as they only produce neurons and astrocytes in vivo. In mouse, we found that inactivation of neurofibromin 1 (Nf1), a gene mutated in neurofibromatosis type 1, unlocked a latent oligodendrocyte lineage potential to produce all three lineages from NSCs in vivo. Our results suggest an avenue for promoting stem cell plasticity by targeting barriers of latent lineage potential. ...[more]

PMID: 26523645

Similar Datasets

Project description:Over the last years, the SWATH data-independent acquisition protocol (Sequential Window acquisition of All THeoretical mass spectra) has become a cornerstone for the worldwide proteomics community (Collins et al., 2017) [1]. In this approach, a high-resolution quadrupole-ToF mass spectrometer acquires thousands of MS/MS data by selecting not just a single precursor at a time, but by allowing a broad m/z range to be fragmented. This acquisition window is then sequentially moved from the lowest to the highest mass selection range. This technique enables the acquisition of thousands of high-resolution MS/MS spectra per minute in a standard LC-MS run. In the subsequent data analysis phase, the corresponding dataset is searched in a "triple quadrupole-like" mode, thus not considering the whole MS/MS scan spectrum, but by searching for several precursor to fragment transitions that identify and quantify the corresponding peptide. This search is made possible with the use of an ion library, previously acquired in a classical data dependent, full-spectrum mode (Fabre et al., 2017; Wu et al., 2017) [2], [3]. The SWATH protocol, combining the protein identification power of high-resolution MS/MS spectra with the robustness and accuracy in analyte quantification of triple-quad targeted workflows, has become very popular in proteomics research. The major drawback lies in the ion library itself, which is normally demanding and time-consuming to build. Conversely, through the realignment of chromatographic retention times, an ion library of a given proteome can relatively easily be tailored upon "any" proteomics experiment done on the same proteome. We are thus hereby sharing with the worldwide proteomics community our newly acquired ion library of mouse adult hippocampal neural stem cells. Given the growing effort in neuroscience research involving proteomics experiments (Pons-Espinal et al., 2017; Sarnyai and Guest, 2017; Sethi et al., 2015; Bramini et al., 2016) [4,[5], [6], [7], we believe that this data might be of great help for the neuroscience community. All the here reported data (RAW files, results and ion library) can be freely downloaded from the SWATHATLAS (Deutsch et al., 2008) [8] website (http://www.peptideatlas.org/PASS/PASS01110).

Dataset Information

Latent tri-lineage potential of adult hippocampal neural stem cells revealed by Nf1 inactivation.

Publications

Latent tri-lineage potential of adult hippocampal neural stem cells revealed by Nf1 inactivation.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets