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Single-Cell Analysis – News and Features

News

cytena Received EUR 1.1 Million of Seed Capital

Company has developed a device called cy-Clone to separate single cells.
News

SYGNIS Reports Financial Results for Fiscal Year 2014

Successful change in product and commercialization strategy with strong focus on proprietary product portfolio.
News

WaferGen & Genentech Collaborate

WaferGen’s SmartChipTM platform has potential to accelerate pharmaceutical drug discovery and development.
News

Results from the Sidney Kimmel Cancer Center at Thomas Jefferson University

The Sidney Kimmel Cancer Center has published results of its work evaluating the potential for ANGLE’s Parsortix system.
News

A Single-Cell Breakthrough

UNC School of Medicine scientist Scott Magness and collaborators use their newly developed technology to dissect properties of single stem cells. The advancement will allow researchers to study gastrointestinal disorders and cancers like never before.
News

New brain mapping reveals unknown cell types

Using a process known as single cell sequencing, scientists at Karolinska Institutet have produced a detailed map of cortical cell types and the genes active within them. The study, which is published in the journal Science, marks the first time this method of analysis has been used on such a large scale on such complex tissue.
News

Single-Cell, 42-plexed Protein Analysis Achieved with a New Microchip Technology

A novel microdevice capable of detecting 42 unique immune effector proteins has been developed.
News

Maverix Biomics And Elsevier Sign Cooperation Agreement

Maverix Analytic Platform integrates with Elsevier Pathway Studio for seamless NGS analysis workflow to assist critical decision making.
News

Lab-on-a-Chip to Study Single Cells

Scientists at EPFL have developed a new lab-on-a-chip technique to analyze single cells from entire population. The new method, which uses beads and microfluidics can change the way we study mixed populations of cells, such as those of tumors.
News

Hidden Cell Types Revealed

New statistical method for RNA-seq analysis identifies, corrects for hidden structure between cells.
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