RESUMO
Genome-wide association studies (GWAS) have identified genetic variants associated with age-related macular degeneration (AMD), one of the leading causes of blindness in the elderly. However, it has been challenging to identify the cell types associated with AMD given the genetic complexity of the disease. Here we perform massively parallel single-cell RNA sequencing (scRNA-seq) of human retinas using two independent platforms, and report the first single-cell transcriptomic atlas of the human retina. Using a multi-resolution network-based analysis, we identify all major retinal cell types, and their corresponding gene expression signatures. Heterogeneity is observed within macroglia, suggesting that human retinal glia are more diverse than previously thought. Finally, GWAS-based enrichment analysis identifies glia, vascular cells, and cone photoreceptors to be associated with the risk of AMD. These data provide a detailed analysis of the human retina, and show how scRNA-seq can provide insight into cell types involved in complex, inflammatory genetic diseases.
Assuntos
Expressão Gênica , Degeneração Macular/genética , Neuroglia/metabolismo , Retina/citologia , Células Fotorreceptoras Retinianas Cones/metabolismo , Neurônios Retinianos/metabolismo , Vasos Retinianos/citologia , Células Amácrinas/metabolismo , Astrócitos/metabolismo , Vasos Sanguíneos , Células Ependimogliais/metabolismo , Perfilação da Expressão Gênica , Predisposição Genética para Doença , Sequenciamento de Nucleotídeos em Larga Escala , Humanos , Microglia/metabolismo , Retina/metabolismo , Células Bipolares da Retina/metabolismo , Células Ganglionares da Retina/metabolismo , Células Horizontais da Retina/metabolismo , Células Fotorreceptoras Retinianas Bastonetes/metabolismo , Vasos Retinianos/metabolismo , Análise de Sequência de RNA , Análise de Célula ÚnicaRESUMO
Real-time release testing (RTRT) is defined as "the ability to evaluate and ensure the quality of in-process and/or final drug product based on process data, which typically includes a valid combination of measured material attributes and process controls" (ICH Q8[R2]). This article discusses sensors (process analytical technology, PAT) and control strategies that enable RTRT for the spectrum of critical quality attributes (CQAs) in biopharmaceutical manufacturing. Case studies from the small-molecule and biologic pharmaceutical industry are described to demonstrate how RTRT can be facilitated by integrated manufacturing and multivariable control strategies to ensure the quality of products. RTRT can enable increased assurance of product safety, efficacy, and quality-with improved productivity including faster release and potentially decreased costs-all of which improve the value to patients. To implement a complete RTRT solution, biologic drug manufacturers need to consider the special attributes of their industry, particularly sterility and the measurement of viral and microbial contamination. Continued advances in on-line and in-line sensor technologies are key for the biopharmaceutical manufacturing industry to achieve the potential of RTRT. Related article: http://onlinelibrary.wiley.com/doi/10.1002/bit.26378/full.