Accelerate to discover

Homepage>Discover>Linked-read sequencing advances understanding of cancers

Apr 5, 2024

Celloger live-cell analyzers, image and analyze your cells in real-time, inside your incubator. With its exceptional...

Cytek SpectroFlo Software Version 3.3 has been released!

Mar 25, 2024

SpectroFlo Software Version 3.3 has been released, enabling new assays with SpectroFlo Software version 3.3, including...

Real-time and quantitative analysis of Macrophage Phagocytosis with RTCA eSight

Feb 23, 2024

The eSight is currently the only instrument that interrogates cell health and behavior using cellular
impedance
...

Whole-slide biomarker quantitation in 82-patient NSCLC cohort study of acquired resistance to PD-(L)

Feb 7, 2024

Samples from 82 patients with NSCLC and matched pre- and post-ICI biopsies were subjected to genomic profiling and to...

Apr 26, 2024

Introducing The Cytek Orion: Reagent Cocktail Preparation System

Jan 29, 2024

Cytek is proud to announce the Cytek Orion reagent cocktail preparation system. The Cytek Orion system allows for...

Small animal DXA instrument comparison and validation 2024

Jan 8, 2024

This study evaluated the performance of two relatively new peripheral bone densitometry machines, the InAlyzer and the...

Flexible multiplex panel design with new Orion Reagents

Jan 5, 2024

Orion Reagents are tailored to enable spatial biomarker quantitation rapidly, easily and with maximum flexibility....

Apr 26, 2024

Extracellular Vesicle Refractive Index derivation utilizing Spectral Flow Cytometry

Dec 21, 2023

In this recent publication in NANO Letters, a four laser Cytek Aurora system with enhanced small particle (ESP)...

Show all topics (10)

Linked-read sequencing advances understanding of cancers

Jul 8, 2019

A new study from the University of Connecticut Medical School, Jackson Labs, and collaborators demonstrate the utility of using emulsion based linked-read sequencing for cancer research.From a methods standpoint, linked-read sequencing requires only 1 ng of DNA input and produces haplotype phasing information. With a 1 ng input requirement, there is ample recovery in the PippinHT – users simply quantify the sample with a Qubit fluorometric assay, and dilute the sample accordingly. On a side note, SageHLS platform has the capability to provide very large targeted genomic regions, a great application for linked-reads given the low input requirement.