Quick Contact

    News and Events

    2022/10/10

    Join BGI at ASHG 2022 in Los Angeles, California



    Overview

    BGI’s theme for ASHG 2022 is “Fueling Innovations and Discoveries with Global Multi-omic Services”. We are excited to feature our premium multi-omic analysis solution, a unique integration of NGS and mass spectrometry services that globally empower the omics research, provide scientists a better understanding of complex biology, and enable more scientific discoveries. BGI will also highlight our DNBSEQTM innovation, a proven sequencing technology that enables us to offer a comprehensive and validated portfolio of NGS services for the genetics research community. In addition, we will announce the launch of our new local multi-omic services from our state-of-the-art lab in San Jose, California. NGS and mass spec analysis projects are now executed locally with worry free and premium solutions.

    Pre-register here or visit BGI booth 1803 to receive a 20% discount from our DNBSEQ NGS services and your gift, a BGI stuffed polar bear (while supply lasts). Also join our events to follow the research advances in cancer multi-omics, Alzheimer’s disease spatial transcriptomics, and Stereo-seq technology:

    · Industry Education Session (Hosted by BGI)

    · CoLab Session (Joint event with our collaborators)


    Industry Education Session

    Thursday, October 27, 12:30 PM – 1:30 PM (PT)
    Room 304 – LA Convention Center
    Lunch will be provided.

    A multi-omics study links TNS3 and SEPT7 to long-term former smoking NSCLC survival

    The genetic architecture of non-small cell lung cancer (NSCLC) is relevant to smoking status. However, the genetic contribution of long-term smoking cessation to the prognosis of NSCLC patients remains largely unknown. We conducted a genome-wide association study primarily on the prognosis of 1299 NSCLC patients of long-term former smokers from independent discovery (n = 566) and validation (n = 733) sets, and used in-silico function prediction and multi-omics analysis to identify single nucleotide polymorphisms (SNPs) on prognostics with NSCLC. We further detected SNPs with at least moderate association strength on survival within each group of never, short-term former, long-term former, and current smokers, and compared their genetic similarity at the SNP, gene, expression quantitative trait loci (eQTL), enhancer, and pathway levels.

    Yi Li, Ph.D.

    Professor of Biostatistics and Global Public Health
    Department of Biostatistics and School of Public Health
    University of Michigan, Ann Arbor 

    Spatial transcriptomic profiling for selective vulnerability in Alzheimer’s mouse model with Stereo-seq

    Single cell technologies have substantially advanced the molecular characterization and cell typing of central nervous system (CNS)and revealed the high degree of heterogeneity in the CNS, and spatial transcriptomics now offers unparalleled information for spatial decoding of the pathologies and their impact on transcriptomics. Here, we utilize the new spatial enhanced resolution omics-sequencing (Stereo-seq) technology to investigate the regional differences and selective vulnerability among different brain cell types in Alzheimer’s mouse model. This method is based on DNA nanoball (DNB)-patterned array/chip, and can generate whole-transcriptome maps of mouse brain unprecedentedly with a resolution up to 0.5 µm. These advantages are unparalleled and particularly suitable for mapping the regional and cell-type specific susceptible to amyloid or tau proteinopathies throughout the brain regions and over the disease progression.

    Zhen Zhao, Ph.D.

    Assistant Professor
    Department of Physiology and Neuroscience, Keck School of Medicine
    University of Southern California 


    Collaborator CoLab Session

    Friday, October 28, 12:15 PM – 12:45 PM (PT)
    CoLab Theater 2 – Exhibition Hall
    A joint session with University of Chicago and Gencove

    Utilizing multiomics for new insight into ancestry effects on genetic immune responses: How low pass whole genome sequencing powers new insights

    Dr. Luis Barreiro, principal investigator of the Barreiro lab at the University of Chicago, will present a summary of the paper, 'Genetic ancestry effects on the response to viral infection are pervasive but cell type specific', published in Science. Dr. Barreiro will discuss how he used a combination of sequencing services provided by BGI to uncover the molecular mechanisms that underpin differences in immune responses. Dr. Joseph Pickrell, CEO of Gencove, will then drill down into how Gencove and BGI's combined low-pass whole genome sequencing (LPWGS) and imputation service, which was used in the study, reduce population biases and enables powerful downstream analysis. Finally, Ms. Yao Ren will highlight the roles of DNBSEQ LPWGS and whole exome sequencing in delivering a novel multi-omic approach for this research.

    Follow us
    微信二维码