Obtaining high quality RNA from complex biological tissues, such as the brain, is needed for establishing high-fidelity cell-type specific transcriptomes. Although combining genetic labeling techniques with laser capture microdissection (LCM) is generally sufficient, concerns over RNA degradation and limited yields ...
Read More »Geo-seq – spatial transcriptomic analysis of cryosectioned tissue samples
Conventional gene expression studies analyze multiple cells simultaneously or single cells, for which the exact in vivo or in situ position is unknown. Although cellular heterogeneity can be discerned when analyzing single cells, any spatially defined attributes that underpin the ...
Read More »Simul-seq – combined DNA and RNA sequencing for whole-genome and transcriptome profiling
Paired DNA and RNA profiling is increasingly employed in genomics research to uncover molecular mechanisms of disease and to explore personal genotype and phenotype correlations. Here, researchers from Stanford University School of Medicine introduce Simul-seq, a technique for the production ...
Read More »Experimental approaches commonly used for single-cell gene expression profiling
Single-cell gene expression profiling was pioneered more than 20 years ago using exponential amplification of cDNAs by PCR and linear amplification by in vitro transcription. These protocols, as well as the subsequent availability of high-density microarrays, led to the application ...
Read More »Tumor Heterogeneity, Single-Cell Sequencing, and Drug Resistance
Tumor heterogeneity has been compared with Darwinian evolution and survival of the fittest. The evolutionary ecosystem of tumors consisting of heterogeneous tumor cell populations represents a considerable challenge to tumor therapy, since all genetically and phenotypically different subpopulations have to ...
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