ETFOptimize | High-performance ETF-based Investment Strategies

Quantitative strategies, Wall Street-caliber research, and insightful market analysis since 1998.


ETFOptimize | HOME
Close Window

Parse Biosciences GigaLab to Support Mount Sinai Researchers in Generating One of the Largest Alzheimer's and Parkinson’s Single Cell Datasets

Researchers aim to understand mechanisms of alternative splicing in neurodegenerative disease

Parse Biosciences today announced their commitment to support researchers from the Icahn School of Medicine at Mount Sinai in generating one of the largest single cell datasets focused on understanding alternative splicing events in the cells of Alzheimer's and Parkinson’s patients. The study’s initial phase will analyze transcriptomic profiles from more than 10 million cells derived from more than 1,000 peripheral blood mononuclear cell (PBMC) samples of patients with neurodegenerative conditions. The data amassed from these analyses will lay the foundation for discoveries that could transform how these diseases are understood, detected, and treated.

“Historical research in neurodegenerative disease has focused on the genomic underpinnings for disease diagnoses, but few have looked at the post transcriptional events that may be further driving pathology and progression of disease,” said Towfique Raj, PhD, principal investigator in the laboratory for functional genomics and core faculty member of the Ronald M. Loeb Center for Alzheimer’s Disease at Mount Sinai, who will lead this study. “We’re excited to be able to look at alternative splicing events in single cells at scale to determine alternative contributors to disease onset, progression and severity. Studies of this scale are critical to the development of foundational models to help us better understand neurodegenerative disease.”

Dr. Raj’s research team at Mount Sinai is dedicated to understanding the molecular mechanisms of neurodegenerative disorders, including Alzheimer’s disease, Parkinson’s disease, and ALS (amyotrophic lateral sclerosis).

For this study, the Mount Sinai team is working to conduct high-throughput profiling on banked PBMCs donated by patients with confirmed Alzheimer’s disease or Parkinson’s disease diagnoses. The researchers expect to profile more than 1,000 samples in order to capture single cell whole transcriptome repertoire data on them. The samples that have been prepared at Mount Sinai will then be sent to Parse GigaLab, a state-of-the-art facility purpose-built for the generation of massive-scale single cell RNA sequencing datasets. Leveraging Parse’s Evercode chemistry, the GigaLab can rapidly produce large single cell datasets with exceptional quality.

“We are incredibly excited to bring the power of GigaLab to elevate the impactful work the Raj Lab has been driving,” says Dr. Charlie Roco, Chief Technology Officer at Parse Biosciences. “The speed and scale achieved with the GigaLab truly helps to accelerate research and get us to insights faster than we ever have before.”

About Parse Biosciences

Parse Biosciences is a global life sciences company whose mission is to accelerate progress in human health and scientific research. Empowering researchers to perform single cell sequencing with unprecedented scale and ease, its pioneering approach has enabled groundbreaking discoveries in cancer treatment, tissue repair, stem cell therapy, kidney and liver disease, brain development, and the immune system.

With technology developed at the University of Washington by co-founders Alex Rosenberg and Charles Roco, Parse has raised over $100 million in capital and is used by over 2,500 customers across the world. Its growing portfolio of products includes Evercode™ Whole Transcriptome, Evercode™ TCR, Evercode™ BCR, Gene Select, and a solution for data analysis, Trailmaker™.

Parse Biosciences is based in Seattle’s vibrant South Lake Union district, where it recently expanded into a new headquarters and state-of-the-art laboratory. To learn more, please visit https://www.parsebiosciences.com/.

“We’re excited to be able to look at alternative splicing events in single cells at scale to determine alternative contributors to disease onset, progression and severity."

Contacts

Stock Quote API & Stock News API supplied by www.cloudquote.io
Quotes delayed at least 20 minutes.
By accessing this page, you agree to the following
Privacy Policy and Terms Of Service.


 

IntelligentValue Home
Close Window

DISCLAIMER

All content herein is issued solely for informational purposes and is not to be construed as an offer to sell or the solicitation of an offer to buy, nor should it be interpreted as a recommendation to buy, hold or sell (short or otherwise) any security.  All opinions, analyses, and information included herein are based on sources believed to be reliable, but no representation or warranty of any kind, expressed or implied, is made including but not limited to any representation or warranty concerning accuracy, completeness, correctness, timeliness or appropriateness. We undertake no obligation to update such opinions, analysis or information. You should independently verify all information contained on this website. Some information is based on analysis of past performance or hypothetical performance results, which have inherent limitations. We make no representation that any particular equity or strategy will or is likely to achieve profits or losses similar to those shown. Shareholders, employees, writers, contractors, and affiliates associated with ETFOptimize.com may have ownership positions in the securities that are mentioned. If you are not sure if ETFs, algorithmic investing, or a particular investment is right for you, you are urged to consult with a Registered Investment Advisor (RIA). Neither this website nor anyone associated with producing its content are Registered Investment Advisors, and no attempt is made herein to substitute for personalized, professional investment advice. Neither ETFOptimize.com, Global Alpha Investments, Inc., nor its employees, service providers, associates, or affiliates are responsible for any investment losses you may incur as a result of using the information provided herein. Remember that past investment returns may not be indicative of future returns.

Copyright © 1998-2017 ETFOptimize.com, a publication of Optimized Investments, Inc. All rights reserved.