And nearly half of the marketing materials of those businesses mention MSCs. If you decide to search for. Robey, Turner, and Sipp recommend that stem cell societies and individual scientists reassess their use of the term. They also say that funders and journal editors should consider whether or not publishing or financing studies that use MSCs is appropriate.
Mummery says that gaining a better understanding of the cells that have been called MSCs, perhaps with single-cell sequencing to probe the identity of all the cells in an organ or tissue, could help address the confusion. Indeed, the cells known as MSCs may have some utility in the clinic. Sipp et al.
Stem Cell Technology in Cardiac Regeneration: A Pluripotent Stem Cell Promise
Related Articles. Opinion: Stop Gaming Peer Review. Accuracy of Genotyping Chips Called into Question. The Race to Nab Cheating Athletes. Bone marrow cells were stained and analyzed by flow cytometry as described above. These mice were sacrificed at 8 weeks after transplantation. Single-cell RNA-seq experiments were performed using a home-made Microwell-seq platform as described Briefly, barcoded beads and single cells were blocked in an array of agarose micro-wells enabling efficient cell lysis and transcript capture. Template switch was performed using Smart-seq 2 Amplified cDNAs were fragmented by a customized transposase that carries two identical insertion sequences Vazyme.
The pre-process of single-cell RNA-seq raw data was performed following drop-seq core computational tool Cell barcode and unique molecular identifier were extracted before reads alignment by STAR The clustering algorithm for the data was implemented and performed using Seurat R toolkit for single-cell genomics Principal components analysis PCA was performed and individual cells were clustered onto a single two-dimensional map using t-SNE analysis based on their PC scores.
Clusters with specific markers were visualized on heatmaps. Identification of enriched biological themes was achieved through Gene Ontology Consortium. Bowie, M. Steel factor responsiveness regulates the high self-renewal phenotype of fetal hematopoietic stem cells. Blood , — Shojaei, F. Hierarchical and ontogenic positions serve to define the molecular basis of human hematopoietic stem cell behavior. Amsellem, S. Ex vivo expansion of human hematopoietic stem cells by direct delivery of the HOXB4 homeoprotein.
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Babos, K. Small molecules take a big step by converting fibroblasts into neurons. Cell 17 , — Hou, P. Pluripotent stem cells induced from mouse somatic cells by small-molecule compounds. Science , — Zhao, Y. A XEN-like state bridges somatic cells to pluripotency during chemical reprogramming.
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Cell , — Han, X. A molecular roadmap for induced multi-lineage trans-differentiation of fibroblasts by chemical combinations. Cell Res. Cao, N. Conversion of human fibroblasts into functional cardiomyocytes by small molecules. Shan, J. Identification of small molecules for human hepatocyte expansion and iPS differentiation. Katsuda, T. Boitano, A. Aryl Hydrocarbon receptor antagonists promote the Expansion of human hematopoietic stem cells. Fares, I. Pyrimidoindole derivatives are agonists of human hematopoietic stem cell self-renewal.
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Densely interconnected transcriptional circuits control cell states in human hematopoiesis. Macosko, E. Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets. Klein, A. Droplet barcoding for single-cell transcriptomics applied to embryonic stem cells. Fan, H. Expression profiling. Combinatorial labeling of single cells for gene expression cytometry. Science , Villani, A. Single-cell RNA-seq reveals new types of human blood dendritic cells, monocytes, and progenitors.
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Trowbridge, J. Glycogen synthase kinase-3 is an in vivo regulator of hematopoietic stem cell repopulation. Guo, G. Mapping cellular Hierarchy by single-Cell Analysis of the cell surface repertoire. Cell 13 , — Rentas, S. Musashi-2 attenuates AHR signalling to expand human haematopoietic stem cells.
Mapping the mouse cell atlas by microwell-Seq. Picelli, S. Smart-seq2 for sensitive full-length transcriptome profiling in single cells. Methods 10 , — Dobin, A. Bioinformatics 29 , 15—21 Satija, R. Spatial reconstruction of single-cell gene expression data. Download references. We thank Sunzhe Xie and Yuan Zhang for assisting the experiments. Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Reprints and Permissions.
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