The field of single-cell genomics is advancing rapidly and is generating many new insights into complex biological systems, ranging from the diversity of microbial ecosystems to the genomics of human cancer. In this Review, we provide an overview of the current state of the field of single-cell genome sequencing. First, we focus on the technical challenges of making measurements that start from a single molecule of DNA, and then explore how some of these recent methodological advancements have enabled the discovery of unexpected new biology. Areas highlighted include the application of single-cell genomics to interrogate microbial dark matter and to evaluate the pathogenic roles of genetic mosaicism in multicellular organisms, with a focus on cancer. We then attempt to predict advances we expect to see in the next few years.
Therapeutic proteins and antibodies represent a $125 billion annual market. Chinese Hamster Ovary (CHO) derived cell lines are the preferred host cells for the production of therapeutic proteins. Here, we present a draft genomic sequence of the CHO-K1 ancestral cell line. The assembly comprises 2.45Gb genomic sequence with 24,383 predicted genes. We associate most scaffolds to 21 microfluidically-isolated chromosomes to identify chromosomal locations of genes. Furthermore, we investigate genes involved in glycosylation, which affects therapeutic protein quality, and viral susceptibility genes, which affect cell engineering and regulatory concerns. Specifically, homologs for most human glycosylation-associated genes are identified in the CHO-K1 genome, although 141 are not expressed under exponential growth. In addition, many important viral entry genes are present in the genome but not expressed, which may explain the unusual viral resistance property of CHO cell lines. We demonstrate how the availability of this genome sequence may facilitate genome-scale science for biopharmaceutical protein production.
Direct lineage reprogramming represents a remarkable conversion of cellular and transcriptome states1–3. However, the intermediates through which individual cells progress are largely undefined. Here we used single-cell RNA-seq4–7 at multiple time points to dissect direct reprogramming from mouse embryonic fibroblasts (MEFs) to induced neuronal (iN) cells. By deconstructing heterogeneity at each time point and ordering cells by transcriptome similarity, we find that the molecular reprogramming path is remarkably continuous. Overexpression of the proneural pioneer factor Ascl1 results in a well-defined initialization, causing cells to exit the cell cycle and re-focus gene expression through distinct neural transcription factors. The initial transcriptional response is relatively homogeneous among fibroblasts suggesting the early steps are not limiting for productive reprogramming. Instead, the later emergence of a competing myogenic program and variable transgene dynamics over time appear to be the major efficiency limits of direct reprogramming. Moreover, a transcriptional state, distinct from donor and target cell programs, is transiently induced in cells undergoing productive reprogramming. Our data provide a high-resolution approach for understanding transcriptome states during lineage differentiation.
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