Linking transcriptomes with morphological and functional phenotypes in mammalian retinal ganglion cells.

TL;DR: This work identified brain-to-retina projections of histaminergic neurons from the mouse hypothalamus, which densely innervated the dorsal retina, and identified changes that could improve vision when objects move fast across the visual field (e.g. while running), which fits with the known increased activity of histamines during arousal.

TL;DR: This study generated high-quality profiles for 250,173 cells from the substantia nigra and putamen of 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine-induced parkinsonian macaques and matched controls to understand the mechanistic connections between neuronal susceptibility and PD pathophysiology, and to facilitate future biomarker discovery and targeted cell therapy.

TL;DR: The SPI-SA IPN hydrogel is a novel scaffold for cell culture with excellent mechanical properties and bio-compatibility. It supports the growth and adhesion of L929 and C2C12 cells.

TL;DR: A step-by-step approach for the fast and reproducible isolation of high-yield and viable primary brain cells, including mature neurons, immature cells and NPCs, from adult and aged macaques is reported.

TL;DR: The Spliced Transcripts Alignment to a Reference (STAR) software based on a previously undescribed RNA-seq alignment algorithm that uses sequential maximum mappable seed search in uncompressed suffix arrays followed by seed clustering and stitching procedure outperforms other aligners by a factor of >50 in mapping speed.

TL;DR: A biologist-oriented portal that provides a gene list annotation, enrichment and interactome resource and enables integrated analysis of multi-OMICs datasets, Metascape is an effective and efficient tool for experimental biologists to comprehensively analyze and interpret OMICs-based studies in the big data era.

TL;DR: Weighted-nearest neighbor analysis as mentioned in this paper is an unsupervised framework to learn the relative utility of each data type in each cell, enabling an integrative analysis of multiple modalities.

TL;DR: Drop-seq will accelerate biological discovery by enabling routine transcriptional profiling at single-cell resolution by separating them into nanoliter-sized aqueous droplets, associating a different barcode with each cell's RNAs, and sequencing them all together.