Literature DB >> 19647835

Gravitational field-flow fractionation of human hemopoietic stem cells.

Barbara Roda1, Pierluigi Reschiglian, Francesco Alviano, Giacomo Lanzoni, Gian Paolo Bagnara, Francesca Ricci, Marina Buzzi, Pier Luigi Tazzari, Pasqualepaolo Pagliaro, Elisa Michelini, Aldo Roda.   

Abstract

New cell sorting methodologies, which are simple, fast, non-invasive, and able to isolate homogeneous cell populations, are needed for applications ranging from gene expression analysis to cell-based therapy. In particular, in the forefront of stem cell isolation, progenitor cells have to be separated under mild experimental conditions from complex heterogeneous mixtures prepared from human tissues. Most of the methodologies now employed make use of immunological markers. However, it is widely acknowledged that specific markers for pluripotent stem cells are not as yet available, and cell labelling may interfere with the differentiation process. This work presents for the first time gravitational field-flow fractionation (GrFFF), as a tool for tag-less, direct selection of human hematopoietic stem and progenitor cells from cell samples obtained by peripheral blood aphaeresis. These cells are responsible to repopulate the hemopoietic system and they are used in transplantation therapies. Blood aphaeresis sample were injected into a GrFFF system and collected fractions were characterized by flow cytometry for CD34 and CD45 expression, and then tested for viability and multi-differentiation potential. The developed GrFFF method allowed obtaining high enrichment levels of viable, multi-potent hematopoietic stem cells in specific fraction and it showed to fulfil major requirements of analytical performance, such as selectivity and reproducibility of the fractionation process and high sample recovery.

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Year:  2009        PMID: 19647835     DOI: 10.1016/j.chroma.2009.07.024

Source DB:  PubMed          Journal:  J Chromatogr A        ISSN: 0021-9673            Impact factor:   4.759


  7 in total

1.  A novel stem cell tag-less sorting method.

Authors:  Barbara Roda; Giacomo Lanzoni; Francesco Alviano; Andrea Zattoni; Roberta Costa; Arianna Di Carlo; Cosetta Marchionni; Michele Franchina; Francesca Ricci; Pier Luigi Tazzari; Pasqualepaolo Pagliaro; Sergio Zaccaria Scalinci; Laura Bonsi; Pierluigi Reschiglian; Gian Paolo Bagnara
Journal:  Stem Cell Rev Rep       Date:  2009-12       Impact factor: 5.739

2.  Osteogenic potential of sorted equine mesenchymal stem cell subpopulations.

Authors:  Catherine L Radtke; Rodolfo Nino-Fong; Juan Carlos Rodriguez-Lecompte; Blanca P Esparza Gonzalez; Henrik Stryhn; Laurie A McDuffee
Journal:  Can J Vet Res       Date:  2015-04       Impact factor: 1.310

3.  Application of a novel sorting system for equine mesenchymal stem cells (MSCs).

Authors:  Catherine L Radtke; Rodolfo Nino-Fong; Blanca P Esparza Gonzalez; Laurie A McDuffee
Journal:  Can J Vet Res       Date:  2014-10       Impact factor: 1.310

4.  Effective Label-Free Sorting of Multipotent Mesenchymal Stem Cells from Clinical Bone Marrow Samples.

Authors:  Silvia Zia; Carola Cavallo; Ilaria Vigliotta; Valentina Parisi; Brunella Grigolo; Roberto Buda; Pasquale Marrazzo; Francesco Alviano; Laura Bonsi; Andrea Zattoni; Pierluigi Reschiglian; Barbara Roda
Journal:  Bioengineering (Basel)       Date:  2022-01-22

5.  A Tailored Lipid Supplement Restored Membrane Fatty Acid Composition and Ameliorates In Vitro Biological Features of Human Amniotic Epithelial Cells.

Authors:  Valeria Pizzuti; Provvidenza Maria Abruzzo; Alexandros Chatgilialoglu; Silvia Zia; Pasquale Marrazzo; Giovannamaria Petrocelli; Chiara Zannini; Cosetta Marchionni; Paola Poggi; Giuliana Simonazzi; Silvia Canaider; Francesco Alviano; Federica Facchin; Laura Bonsi
Journal:  J Clin Med       Date:  2022-02-24       Impact factor: 4.241

6.  A New Predictive Technology for Perinatal Stem Cell Isolation Suited for Cell Therapy Approaches.

Authors:  Silvia Zia; Giulia Martini; Valeria Pizzuti; Alessia Maggio; Giuliana Simonazzi; Pierluigi Reschiglian; Laura Bonsi; Francesco Alviano; Barbara Roda; Andrea Zattoni
Journal:  Micromachines (Basel)       Date:  2021-06-30       Impact factor: 2.891

7.  RNA-seq in DMD urinary stem cells recognized muscle-related transcription signatures and addressed the identification of atypical mutations by whole-genome sequencing.

Authors:  Maria S Falzarano; Andrea Grilli; Silvia Zia; Mingyan Fang; Rachele Rossi; Francesca Gualandi; Paola Rimessi; Reem El Dani; Marina Fabris; Zhiyuan Lu; Wenyan Li; Tiziana Mongini; Federica Ricci; Elena Pegoraro; Luca Bello; Andrea Barp; Valeria A Sansone; Madhuri Hegde; Barbara Roda; Pierluigi Reschiglian; Silvio Bicciato; Rita Selvatici; Alessandra Ferlini
Journal:  HGG Adv       Date:  2021-08-24
  7 in total

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