Animal Physiology & Immunology, TUM School of Life Science, Technische Universität München, Freising-Weihenstephan, Germany
Michael.Pfaffl@wzw.tum.de
Michael W. Pfaffl started 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 TUM School of Life Sciences. Today he has reached the ‘Principal Investigator’ status at the Institute of Animal Physiology & Immunology and is one of the leading scientists in the field of Gene Quantification, RT-qPCR technology, RNA sequencing, and complex data analysis in mRNA & small-RNA expression profiling.
He is author of around 180 peer reviewed publications, 45 book chapters, and held more than 230 lectures worldwide. In March 2012 the Elsevier SciVerse Scopus Award 2012 was granted to Prof. Michael W. Pfaffl, whose top cited Scopus article entitled "A new mathematical model for relative quantification in real-time RT-PCR" published 2001 in Nucleic Acids Research 29(9) has been cited today more than 21,800 times. He is coauthor of the Minimum Information for Publication of Quantitative Real-Time PCR Experiments (MIQE) guidelines (2009) and coauthor of the dMIQE guidelines for digital PCR (2013).
Michael.Pfaffl@wzw.tum.de
Michael W. Pfaffl started 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 TUM School of Life Sciences. Today he has reached the ‘Principal Investigator’ status at the Institute of Animal Physiology & Immunology and is one of the leading scientists in the field of Gene Quantification, RT-qPCR technology, RNA sequencing, and complex data analysis in mRNA & small-RNA expression profiling.
He is author of around 180 peer reviewed publications, 45 book chapters, and held more than 230 lectures worldwide. In March 2012 the Elsevier SciVerse Scopus Award 2012 was granted to Prof. Michael W. Pfaffl, whose top cited Scopus article entitled "A new mathematical model for relative quantification in real-time RT-PCR" published 2001 in Nucleic Acids Research 29(9) has been cited today more than 21,800 times. He is coauthor of the Minimum Information for Publication of Quantitative Real-Time PCR Experiments (MIQE) guidelines (2009) and coauthor of the dMIQE guidelines for digital PCR (2013).
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Professor Michael W. Pfaffl has editorial involvements as Founding- & Section-Editor in ‘Biomolecular Detection and Quantification’, Editor in ‘Methods’ and ‘International Journal of Oncology’, and Editor-in-Chief of the ‘Gene Quantification’ webportal, the world biggest webpage around qPCR, dPCR and Gene Expression profiling techniques and applications. He is initiator and lead organizer of the qPCR, dPCR & NGS Gene Quantification Event series in Freising Weihenstephan in Germany since 2004 (www.eConferences.de).
"A new mathematical model for relative quantification in real-time RT-PCR" and "Relative expression software tool (REST©) for group-wise comparison and statistical analysis of relative expression results in real-time PCR." published both in Nucleic Acids Research has been cited today more than 26,400 and 6,750 times, respectively. |
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Professor Pfaffl's presentations will include:
1) Transcriptional Biomarkers in Liquid Biopsy – applying small-RNA Seq and RT-qPCR to identify valid ‘Biomarker Signatures’ in blood and circulating extracellular vesicles.
2) A MIQE compliant efficiency corrected relative quantification model (REST) for gene expression profiling.
1) Transcriptional Biomarkers in Liquid Biopsy – applying small-RNA Seq and RT-qPCR to identify valid ‘Biomarker Signatures’ in blood and circulating extracellular vesicles.
2) A MIQE compliant efficiency corrected relative quantification model (REST) for gene expression profiling.
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"qPCR & dPCR Under The Microscope" Symposium 2020
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