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SELECTBIO Conferences Single Cell Analysis Summit

Michael Pfaffl's Biography

Michael Pfaffl, Professor, Technical University of Munich

Michael W. Pfaffl started in 1986 to study ‘Agriculture - Animal Science’ and ‘Biotechnology’ at the Technical University of Munich (TUM). In 1997 he obtained his PhD in ‘Molecular Physiology’ in the field of molecular muscle and growth physiology at the Chair of Physiology. In June 2003 he completed his Venia Legendi (Dr. habil.) at the Center of Life and Food Sciences Weihenstephan with the title ‘Livestock transcriptomics: Quantitative mRNA analytics in molecular endocrinology and mammary gland physiology’. Early 2010 he became Professor of ‘Molecular Physiology’ at the School of Life Sciences at TUM. Today he has reached the ‘Principal Investigator’ status at the Institute of Animal Physiology & Immunology and is one of the leading scientists concerning RT-qPCR technology, complex data analysis in mRNA and small-RNA expression profiling. Professor Michael W. Pfaffl has editorial involvements as Editor in ‘Methods’, Founding & Section Editor in ‘Biomolecular Detection and Quantification’ and Editor-in-Chief of the ‘Gene Quantification’ webportal (, the world biggest webpage around qPCR, dPCR and gene expression profiling. He is initiator and organizer of the qPCR & NGS conference series in Freising Weihenstephan, Germany since 2004 ( In 2004 he founded together with Sylvia Pfaffl (MBA) bioMCC -- a company focused on biotech Marketing, Communication & Consulting.

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Quantification Noise in Single Cell Experiments

Tuesday, 25 September 2012 at 16:30

Add to Calendar ▼2012-09-25 16:30:002012-09-25 17:30:00Europe/LondonQuantification Noise in Single Cell ExperimentsSingle Cell Analysis Summit in San Diego, USASan Diego,

In quantitative single-cell studies, the critical part is the low amount of nucleic acids present and the resulting experimental variations. In addition biological data obtained from heterogeneous tissue are not reflecting the expression behaviour of every single-cell. These variations can be derived from natural biological variance or can be introduced externally. Both have negative effects on the quantification result. The aim of this study is to make quantitative single-cell studies more transparent and reliable in order to fulfil the MIQE guidelines at the single-cell level.

Add to Calendar ▼2012-09-25 00:00:002012-09-26 00:00:00Europe/LondonSingle Cell Analysis SummitSingle Cell Analysis Summit in San Diego, USASan Diego,