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<\/a><\/a>The AGD meeting was interesting and a great primer for all of us who are not directly working with single cells.<\/p>\n
Maybe it is an unusual research field – dissecting single cells in the first stage is not a trivial task. And single cell \u00a0means single cell experiment that can be replicated only in other cells.\u00a0The current readout is \u00a0RNA content at a given time while genomics and proteomics still need to be integrated. Experiments cover mainly abundant RNAs and for cost reasons only the 3′ ends. The statistical analysis usually is a 2 dimensional\u00a0PCA<\/a>\u00a0(known to overfit noise) so this not a trivial approach at all. Newly identified cell cluster need careful confirmation as addressed in the talk of\u00a0Andreas Schlitzer.<\/p>\n <\/p>\n Session 1 \u2013 The diversity of the human immunome<\/strong><\/p>\n Christoph Kreer (Institute of Virology, University Hospital of Cologne, Germany) \u201copenPrimeR for multiplex amplification of highly diverse single-cell templates\u201d<\/p>\n Nir Yosef (Center for Computational Biology, UC Berkeley, USA) \u201cCell-specific metabolic models reveal targets that mitigate pathogenicity in T helper cells\u201d<\/p>\n Mihai Netea (Nijmegen Medical Center and LIMES Institute, Bonn, Germany) \u201cThe Human Functional Genomics Project\u201d<\/p>\n […]<\/p>\n Wieland Keilholz (BD Life Sciences Genomics, Heidelberg, Germany) \u201cBD Rhapsody: Massively Parallel Single-Cell Protein & RNA Profiling\u201d<\/p>\n Session 2 – The Human Cell Atlas and beyond<\/strong><\/p>\n Roland Eils (BIH Center for Digital Health, Berlin, Germany) \u201cPhenoseq: Placing single-cell sequencing into a spatial context\u201d<\/p>\n Fabian J. Theis (Technical University and Helmholtz Zentrum M\u00fcnchen, Germany) \u201cLineage estimation from single-cell RNA-seq time-series\u201d<\/p>\n Jan Philipp Junker (Max Delbr\u00fcck Center for Molecular Medicine, Berlin, Germany) \u201cLineage tracing on the organism-wide level\u201d<\/p>\n Florent Ginhoux (Singapore Immunology Network, A*STAR, Singapore) \u201cMonocyte and Macrophage Biology: From Development to Functions\u201d<\/p>\n Keynote lecture by Miriam Merad (Icahn School of Medicine at Mount Sinai, New York, NY, USA) \u201cUnderstanding human organs with unprecedented resolution\u201d<\/p>\n Session 3 \u2013 From genomes to epigenomes \u2014 the multiomics path<\/strong><\/p>\n Andreas Schlitzer (LIMES Institute, University of Bonn, Germany) \u201cRevisiting the human myeloid cell system – one cell at a time\u201d<\/p>\n Philip Rosenstiel (Institute of Clinical Molecular Biology, CAU, Kiel, Germany) \u201cPrecision medicine by multi-omics approaches in inflammatory diseases: Emmanouil Dermitzakis (University of Geneva, Switzerland) \u201cHierarchical functional genomics to interpret genome variation and dissect complex disease architecture\u201d<\/p>\n Christina Kratsch (Comma Soft AG, Bonn, Germany) \u201cSingle-cell analytics \u2014 the data challenge\u201d<\/p>\n Session 4 \u2013 Tumor heterogeneity and CTCs<\/strong><\/p>\n (ctc=circulating tumor cells)<\/p>\n Siegfried Hauch (QIAGEN GmbH, Hilden, Germany) \u201cAn easy method for CTC single cell isolation and subsequent molecular profiling\u201d<\/p>\n Nadia Luheshi (MedImmune, Cambridge, UK) \u201cSingle-cell sequencing in immuno-oncology\u201d<\/p>\n Itay Tirosh (Weizmann Institute of Science, Rehovot, Israel) \u201cAn integrated model of cellular states and genetics in glioblastoma\u201c<\/p>\n Simon Joosse (Department of Tumor Biology, UKE, Hamburg, Germany) \u201cCTCs as liquid biopsy in the management of cancer patients\u201d<\/p>\n The new LJ has some more insight<\/a>…<\/p>\n\n <\/p>\n Congress report Annual AGD Meeting 2018, Potsdam Oct. 5\u20136 Welcome and Opening of Symposium by \u00a0Peter N\u00fcrnberg, President of the AGD and\u00a0Joachim L. Schultze, Chair of the Program Committee. The AGD meeting was interesting and a great primer for all of us who are not directly working with single cells. Maybe it is an unusual … Continue reading New insights by single-cell genomics<\/span> <\/a><\/a><\/a><\/a><\/a><\/a><\/a><\/a><\/a>
\nAre we there yet?\u201d<\/p>\n<\/a><\/a><\/a><\/a><\/a><\/a><\/a>