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TZID:Europe/Vienna
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DTSTART:20200329T030000
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DTSTART:20191027T020000
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BEGIN:VEVENT
DTSTAMP:20260405T174459Z
UID:5db054184f796633909824@ist.ac.at
DTSTART:20191119T100000
DTEND:20191119T120000
DESCRIPTION:Speaker: Hannes Arnold\nhosted by Anna Kicheva\nAbstract: Wheth
 er you want to dissect cell-type differences\, investigate the adaptive im
 mune system\, or discover copy number variation and genomic heterogeneity 
 on a cell-by-cell basis\, the Chromium System from 10x Genomics is the ans
 wer. Characterize and profile gene expression in hundreds to tens of thous
 ands of single cells\, sequence paired\, full-length B-cell or T-cell repe
 rtoires\, or profile hundreds to thousands of single cell genomes to revea
 l genome heterogeneity and understand clonal evolution. But also the abili
 ty to discern spatial gene expression differences in complex biological sy
 stems is critical to our understanding of developmental biology and the pr
 ogression of disease. However\, the complexity presented by heterogeneous 
 tissue has been historically difficult to overcome. Immunohistochemistry\,
  ISH\, and H&E staining\, foundational tools for understanding tissue arch
 itecture\, are based on a combination of gene expression and cell morpholo
 gy information. Though recent advances in RNA sequencing (RNA-seq) have ma
 de it possible to obtain unbiased high-throughput gene expression data\, t
 hese experiments require dissociated cells and cannot preserve morphologic
 al context\, until now. The Visium Spatial Gene Expression Solution from 1
 0x Genomics analyzes complete transcriptomes in intact tissue sections\, a
 llowing you to discover genes and markers relevant to your research withou
 t having to rely on known targets. Preserving spatial resolution offers cr
 itical information for understanding the relationships between cellular fu
 nction\, phenotype\, and location in the tissue.
LOCATION:Seminar Room\, Lab Building East\, ISTA
ORGANIZER:jflor@ist.ac.at
SUMMARY:Hannes Arnold: From Single Cell to Spatial Transcriptomics with 10x
  Genomics
URL:https://talks-calendar.ista.ac.at/events/2403
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