Linlin YanBeijing Simcere Medical Laboratory Science Co., Ltd., · Scientific Research
Linlin Yan
Doctor of Philosophy
About
67
Publications
2,113
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261
Citations
Citations since 2017
Introduction
* Variant caller based on next-generation sequencing;
* Algorithm development on high-throughput data;
* Genomics and other *-omics in tumor and genetic diseases;
* Genetic counseling.
Additional affiliations
September 2010 - July 2017
Publications
Publications (67)
Colorectal cancer (CRC) remains a challenging and deadly disease with high tumor microenvironment (TME) heterogeneity. Using an integrative multi-omics analysis and artificial intelligence-enabled spatial analysis of whole-slide images, we performed a comprehensive characterization of TME in colorectal cancer (CCCRC). CRC samples were classified in...
Purpose: To explain how the tumor microenvironment (TME) contributes to biological and clinical heterogeneity of colorectal cancer (CRC).
Methods: Using multi-omics analysis, single cell transcriptomic sequencing analysis and artificial intelligence-enabled spatial analysis of whole-slide images, we performed a comprehensive characterization of TME...
Data mining(DM) has been widely used in researching the auxiliary diagnosis of cancer. Circulating miRNAs are related to the occurrence and development of various cancer types. For this reason, they have the potential to be used as biomarkers for early tumor diagnosis. Previously, we found that SVM model combined with plasma miRNAs biomarkers could...
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Motivation: The interactions among various types of cells play critical roles in cell functions and the maintenance of the entire organism. While cell-cell interactions are traditionally revealed from experimental studies, recent developments in single cell technologies combined with data mining methods have enabled computational prediction of cell...
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Motivation:
The interactions among various types of cells play critical roles in cell functions and the maintenance of the entire organism. While cell-cell interactions are traditionally revealed from experimental studies, recent developments in single cell technologies combined with data mining methods have enabled computational prediction of cel...
Background:
mRNA-based cancer vaccines have been considered a promising anticancer therapeutic approach against various cancers, yet their efficacy for malignant mesothelioma (MESO) is still not clear. The present study is designed to identify MESO antigens that have the potential for mRNA vaccine development, and to determine the immune subtypes...
Objectives
We designed this study to develop a blood-based genomic mutation signature (bGMS) model for predicting the efficacy of atezolizumab therapy in non-small cell lung cancer (NSCLC) in a non-invasive manner.
Materials and Methods
Patients with NSCLC treated with atezolizumab from POPLAR and OAK clinical trials were included in our study. OA...
Recently, tumor immunotherapy based on immune checkpoint inhibitors (ICI) has been introduced and widely adopted for various tumor types. Nevertheless, tumor immunotherapy has a few drawbacks, including significant uncertainty of outcome, the possibility of severe immune-related adverse events for patients receiving such treatments, and the lack of...
e13138
Background: Validation is very important for diagnostic assays, here we describe a validation process of a comprehensive cancer genomic profiling assay based on massively parallel DNA sequencing. This assay can detect base substitutions, short insertions and deletions, copy number alterations, tumor mutation burden (TMB) and microsatellite i...
Mounting evidence supports that LINE-1 (L1) retrotransposition can occur postzygotically in healthy and diseased human tissues, contributing to genomic mosaicism in the brain and other somatic tissues of an individual. However, the genomic distribution of somatic human-specific LINE-1 (L1Hs) insertions and their potential impact on carrier cells re...
Mounting evidence supports that LINE-1 (L1) retrotransposition can occur postzygotically in healthy and diseased human tissues, contributing to genomic mosaicism in the brain and other somatic tissues of an individual. However, the genomic distribution of somatic L1Hs (Human-specific LINE-1) insertions and their potential impact on carrier cells re...
Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder with strong genetic contributions. To provide a comprehensive resource for the genetic evidence of ASD, we have updated the Autism KnowledgeBase (AutismKB) to version 2.0. AutismKB 2.0 integrates multiscale genetic data on 1379 genes, 5420 copy number variations and structural...
On the cover: The cover image, by Yanmei Dou et al., is based on the Research Article Postzygotic single-nucleotide mosaicisms contribute to the etiology of autism spectrum disorder and autistic traits and the origin of mutations, Pages 1002–1013. DOI 10.1002/humu.23284
The roles and characteristics of post-zygotic single-nucleotide mosaicisms (pSNMs) in autism spectrum disorders (ASD) remain unclear. In this study of the whole-exomes of 2,321 families in the Simons Simplex Collection (SSC), we identified 1,248 putative pSNMs in children and 285 de novo SNPs in children with detectable parental mosaicism. Ultra-de...
Genomic mosaicism arising from postzygotic mutations has long been associated with cancer and more recently with non-cancer diseases. It has also been detected in healthy individuals including healthy parents of children affected with genetic disorders, highlighting its critical role in the origin of genetic mutations. However, most existing softwa...
Postzygotic single-nucleotide mutations (pSNMs) have been studied in cancer and a few other overgrowth human disorders at whole-genome scale and found to play critical roles. However, in clinically unremarkable individuals, pSNMs have never been identified at whole-genome scale largely due to technical difficulties and lack of matched control tissu...
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Bioinformatics is a developing interdisciplinary science which combines information technologies into biological researches. The techniques from this emerging field have shown great potential in many business areas including drug design, agriculture, and so on. Meanwhile, this new computational field has also been one of the largest consumers of co...
