Genetic Engineering & Biotechnology News

NOV1 2018

Genetic Engineering & Biotechnology News (GEN) is the world's most widely read biotech publication. It provides the R&D community with critical information on the tools, technologies, and trends that drive the biotech industry.

Issue link:

Contents of this Issue


Page 12 of 57 | Genetic Engineering & Biotechnology News | NOVEMBER 1, 2018 | 11 "Before single-cell technology, you would look at averages of millions of cells, and if you were looking for genes expressed in 10% of those cells, you might not see them," he explains. "With our technique, if there's a cluster of 10 cells different in a patient, you can look to see why those cells are different." Within the next five years, he hopes to use single-cell profiling to create a fingerprint for every patient at the In- stitute. "We can then quickly diagnose children and group them with others who are likely suffering the same dis- ease at a molecular level." In the longer term, his ambitious plans include using AI and machine learning to create a map that shows— in a visual form—the molecular path- ways that control gene regulation. "We can plot the differences between patients and controls, and understand pathological processes in a new, unbi- ased way," he says. Watching RNA Travel Yaron Shav-Tal, Ph.D., a professor of biology at Bar-Ilan University, will discuss live-cell imaging and fluores- cence microscopy as a way to observe mRNA directly. "We research how mRNA is exported from the nucleus to the cytoplasm via the nuclear pore complex," he explains. Usually mRNA travels quite slowly inside cells, bumping into DNA, but when it reaches the nuclear pores it's kicked out into the cytoplasm in a short time frame. This discovery was of inter- est to researchers seeking to understand intracellular processes, but the export process was hard to detect. Dr. Shav-Tal and his colleagues See Inside Single Cells on page 12 Drug Discovery Using 10X Genomics' Chromium DNA partitioning workflow for genome sequencing, scientists at Institute Imagine led by Mickaël Ménager, Ph.D., devised a way to characterize autoinflammatory disease via single-cell transcriptome-based network interference. Note that in the single-cell RNA sequencing technique shown here, cells are passed through a microfluidic device, encapsulated, and lysed to release barcoded RNA. " If there's a cluster of 10 cells different in a patient, you can look to see why those cells are different." — Mickaël Ménager, Ph.D., Institut Imagine VIAFLO ASSIST VOYAGER Adjustable Tip Spacing Pipette Motorized tip spacing enables parallel transfers of multiple samples between labware of different sizes and formats. The tip spacing can be changed by the simple push of a button, no manual adjustments or two handed operations are needed. ARE YOU PIPETTING SAMPLES BETWEEN DIFFERENT LABWARE FORMATS? EVOLVE VIAFLO 96 I 384

Articles in this issue

Links on this page

Archives of this issue

view archives of Genetic Engineering & Biotechnology News - NOV1 2018