Single-cell analysis reveals prognostic fibroblast subpopulations linked to molecular and immunological subtypes of lung cancer.

Fibroblasts are poorly characterised cells that variably impact tumour progression. Here, we use single cell RNA-sequencing, multiplexed immunohistochemistry and digital cytometry (CIBERSORTx) to identify and characterise three major fibroblast subpopulations in human non-small cell lung cancer: adventitial, alveolar and myofibroblasts. Alveolar and adventitial fibroblasts (enriched in control tissue samples) localise to discrete spatial niches in histologically normal lung tissue and indicate improved overall survival rates when present in lung adenocarcinomas (LUAD). Trajectory inference identifies three phases of control tissue fibroblast activation, leading to myofibroblast enrichment in tumour samples: initial upregulation of inflammatory cytokines, followed by stress-response signalling and ultimately increased expression of fibrillar collagens. Myofibroblasts correlate with poor overall survival rates in LUAD, associated with loss of epithelial differentiation, TP53 mutations, proximal molecular subtypes and myeloid cell recruitment. In squamous carcinomas myofibroblasts were not prognostic despite being transcriptomically equivalent. These findings have important implications for developing fibroblast-targeting strategies for cancer therapy.

Comparison of optimized methodologies for isolating nuclei from esophageal tissue.

Single-nuclei RNA sequencing allows single cell-based analysis in frozen tissue, ameliorating cell recovery biases associated with enzymatic dissociation methods. The authors present two optimized methods for isolating and sequencing nuclei from esophageal tissue using a commercial EZ and citric acid (CA)-based method. Despite high endogenous RNase activity, these protocols produced libraries of expected fragment length (average length EZ: 745 bp; CA: 1232 bp) with comparable complexity (median Transcript/Gene number, EZ: 496/254; CA: 483/256). CA nuclei showed a higher proportion of ribosomal gene reads, potentially reflecting co-isolation of nuclei and adherent ribosomes. The authors identified 11 cell lineages in the combined datasets, with differences in cell type recovery between the two methods, providing utility dependent on experimental needs.

Rapid microfluidic isolation of virally infected primary bronchial epithelial cells for single-cell RNA sequencing.

Single-cell RNA sequencing (scRNA-seq) of the bronchial epithelium enables examination of cellular subtypes and their responses to viral infections. Here, an optimized method for the isolation of virally infected primary bronchial epithelial cells using a commercially available microfluidic device is presented. Using this method single cells can be rapidly isolated with minimal equipment available in most laboratories. Isolation can be carried out inside biological safety cabinets, permitting the use of virally infected cells. Both cell-line and primary cells isolated using the device retained sufficient RNA integrity for the generation of short-read sequencing-compatible cDNA libraries to facilitate scRNA-seq.