July 18, 2016  |  Flow Cytometry, Publications  |  By  |  0 Comments

Roundup: 5 Recent Papers That Caught Our Attention

Every month, leading researchers investigate, discover, and publish new findings with the help of the Cytobank’s tools, platform, and community.  Here are just a few papers of interest from the past few months:

Computational flow cytometry: helping to make sense of high-dimensional immunology data
Review article overviews how computational flow cytometry is emerging as an important new field at the intersection of immunology and computational biology. Recent developments reduce bias and increase the visualization capabilities for extracting biological knowledge from high-throughput single-cell data. more…

Visualization and cellular hierarchy inference of single-cell data using SPADE
Describes the use of the SPADE algorithm for visualizing single-cell data and enabling cellular hierarchy inference among subpopulations of similar cells and compares it to t-SNE. Demonstrates the applicability of SPADE to single-cell RNA-seq data. more…

Deep-phenotyping of Tregs identifies an immune signature for idiopathic aplastic anemia and predicts response to treatment
Mass cytometry combined with an “unbiased multidimensional analytical approach” reveal a Treg immune signature for aplastic anemia (AA). Collectively, this study identifies human Treg subpopulations that could be used as predictive biomarkers for response to immunosuppressive therapy in AA and potentially other autoimmune diseases. more…

Mass Cytometry of the Human Mucosal Immune System Identifies Tissue- and Disease-Associated Immune Subsets
Immune system-wide data-driven analyses reveal and characterize previously unrecognized immune cell heterogeneity. Cytobank’s data visualizations identify tissue-and disease-associated immune subsets that distinguish patients from controls. more…

Mass Cytometry: Single Cells, Many Features
Primer reviews the current state of mass cytometry, overviewing the instrumentation, its present capabilities, and methods of data analysis, as well as thoughts on future developments and applications more…