Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Xueqiu Lin is active.

Publication


Featured researches published by Xueqiu Lin.


Nature | 2014

Comparative analysis of metazoan chromatin organization

Joshua W. K. Ho; Youngsook L. Jung; Tao Liu; Burak H. Alver; Soohyun Lee; Kohta Ikegami; Kyung Ah Sohn; Aki Minoda; Michael Y. Tolstorukov; Alex Appert; Stephen C. J. Parker; Tingting Gu; Anshul Kundaje; Nicole C. Riddle; Eric P. Bishop; Thea A. Egelhofer; Sheng'En Shawn Hu; Artyom A. Alekseyenko; Andreas Rechtsteiner; Dalal Asker; Jason A. Belsky; Sarah K. Bowman; Q. Brent Chen; Ron Chen; Daniel S. Day; Yan Dong; Andréa C. Dosé; Xikun Duan; Charles B. Epstein; Sevinc Ercan

Genome function is dynamically regulated in part by chromatin, which consists of the histones, non-histone proteins and RNA molecules that package DNA. Studies in Caenorhabditis elegans and Drosophila melanogaster have contributed substantially to our understanding of molecular mechanisms of genome function in humans, and have revealed conservation of chromatin components and mechanisms. Nevertheless, the three organisms have markedly different genome sizes, chromosome architecture and gene organization. On human and fly chromosomes, for example, pericentric heterochromatin flanks single centromeres, whereas worm chromosomes have dispersed heterochromatin-like regions enriched in the distal chromosomal ‘arms’, and centromeres distributed along their lengths. To systematically investigate chromatin organization and associated gene regulation across species, we generated and analysed a large collection of genome-wide chromatin data sets from cell lines and developmental stages in worm, fly and human. Here we present over 800 new data sets from our ENCODE and modENCODE consortia, bringing the total to over 1,400. Comparison of combinatorial patterns of histone modifications, nuclear lamina-associated domains, organization of large-scale topological domains, chromatin environment at promoters and enhancers, nucleosome positioning, and DNA replication patterns reveals many conserved features of chromatin organization among the three organisms. We also find notable differences in the composition and locations of repressive chromatin. These data sets and analyses provide a rich resource for comparative and species-specific investigations of chromatin composition, organization and function.


Nature Genetics | 2015

Broad H3K4me3 is associated with increased transcription elongation and enhancer activity at tumor-suppressor genes

Kaifu Chen; Zhong Chen; Dayong Wu; Lili Zhang; Xueqiu Lin; Jianzhong Su; Benjamin Rodriguez; Yuanxin Xi; Zheng Xia; Xi Chen; Xiaobing Shi; Qianben Wang; Wei Li

Tumor suppressors are mostly defined by inactivating mutations in tumors, yet little is known about their epigenetic features in normal cells. Through integrative analysis of 1,134 genome-wide epigenetic profiles, mutations from >8,200 tumor-normal pairs and our experimental data from clinical samples, we discovered broad peaks for trimethylation of histone H3 at lysine 4 (H3K4me3; wider than 4 kb) as the first epigenetic signature for tumor suppressors in normal cells. Broad H3K4me3 is associated with increased transcription elongation and enhancer activity, which together lead to exceptionally high gene expression, and is distinct from other broad epigenetic features, such as super-enhancers. Genes with broad H3K4me3 peaks conserved across normal cells may represent pan-cancer tumor suppressors, such as TP53 and PTEN, whereas genes with cell type–specific broad H3K4me3 peaks may represent cell identity genes and cell type–specific tumor suppressors. Furthermore, widespread shortening of broad H3K4me3 peaks in cancers is associated with repression of tumor suppressors. Thus, the broad H3K4me3 epigenetic signature provides mutation-independent information for the discovery and characterization of new tumor suppressors.


Cancer Cell | 2016

DNMT3A Loss Drives Enhancer Hypomethylation in FLT3-ITD-Associated Leukemias

Liubin Yang; Benjamin Rodriguez; Allison Mayle; Hyun Jung Park; Xueqiu Lin; Min Luo; Mira Jeong; Choladda V. Curry; Sang Bae Kim; David Ruau; Xiaotian Zhang; Ting Zhou; Michael Zhou; Vivienne I. Rebel; Grant A. Challen; Berthold Göttgens; Ju Seog Lee; Rachel E. Rau; Wei Li; Margaret A. Goodell

DNMT3A, the gene encoding the de novo DNA methyltransferase 3A, is among the most frequently mutated genes in hematologic malignancies. However, the mechanisms through which DNMT3A normally suppresses malignancy development are unknown. Here, we show that DNMT3A loss synergizes with the FLT3 internal tandem duplication in a dose-influenced fashion to generate rapid lethal lymphoid or myeloid leukemias similar to their human counterparts. Loss of DNMT3A leads to reduced DNA methylation, predominantly at hematopoietic enhancer regions in both mouse and human samples. Myeloid and lymphoid diseases arise from transformed murine hematopoietic stem cells. Broadly, our findings support a role for DNMT3A as a guardian of the epigenetic state at enhancer regions, critical for inhibition of leukemic transformation.


Bioinformatics | 2013

BSeQC: quality control of bisulfite sequencing experiments.

Xueqiu Lin; Deqiang Sun; Benjamin Rodriguez; Qian Zhao; Hanfei Sun; Yong Zhang; Wei Li

MOTIVATION Bisulfite sequencing (BS-seq) has emerged as the gold standard to study genome-wide DNA methylation at single-nucleotide resolution. Quality control (QC) is a critical step in the analysis pipeline to ensure that BS-seq data are of high quality and suitable for subsequent analysis. Although several QC tools are available for next-generation sequencing data, most of them were not designed to handle QC issues specific to BS-seq protocols. Therefore, there is a strong need for a dedicated QC tool to evaluate and remove potential technical biases in BS-seq experiments. RESULTS We developed a package named BSeQC to comprehensively evaluate the quality of BS-seq experiments and automatically trim nucleotides with potential technical biases that may result in inaccurate methylation estimation. BSeQC takes standard SAM/BAM files as input and generates bias-free SAM/BAM files for downstream analysis. Evaluation based on real BS-seq data indicates that the use of the bias-free SAM/BAM file substantially improves the quantification of methylation level. AVAILABILITY AND IMPLEMENTATION BSeQC is freely available at: http://code.google.com/p/bseqc/.


Cancer Cell | 2016

Erratum: DNMT3A Loss Drives Enhancer Hypomethylation in FLT3-ITD-Associated Leukemias (Cancer Cell (2016) 29(6) (922–934) (S1535610816302082) (10.1016/j.ccell.2016.05.003))

Liubin Yang; Benjamin Rodriguez; Allison Mayle; Hyun Jung Park; Xueqiu Lin; Min Luo; Mira Jeong; Choladda V. Curry; Sang Bae Kim; David Ruau; Xiaotian Zhang; Ting Zhou; Michael Zhou; Vivienne I. Rebel; Grant A. Challen; Berthold Göttgens; Ju Seog Lee; Rachel E. Rau; Wei Li; Margaret A. Goodell

1 Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas 77030, USA 2 Dan L. Duncan Cancer Center and Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas 77030, USA 3 Department of Bioinformatics, School of Life sciences and Technology, Tongji University, Shanghai 20092, China. 4 Stem Cells and Regenerative Medicine Center, Baylor College of Medicine, Houston, Texas 77030, USA 5 Department of Pathology and Immunology, Texas Children’s Hospital, Baylor College of Medicine, Houston, Texas 77030, USA 6 Department of Systems Biology, Division of Cancer Medicine, University of Texas MD Anderson Cancer Center, Houston, Texas, USA. 7 Department of Pediatrics, Baylor College of Medicine, Houston, Texas 77030, USA 8 Division of Oncology, Washington University School of Medicine, St. Louis, Missouri 63110, USA 9 Wellcome Trust/MRC Stem Cell Institute, Cambridge, UK 10 Greehey Childrens Cancer Research Institute and Department of Cellular and Structural Biology, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA 11 Rice University, Houston, Texas 77030


Bioinformatics | 2013

CistromeFinder for ChIP-seq and DNase-seq data reuse

Hanfei Sun; Bo Qin; Tao Liu; Qixuan Wang; Jing Liu; Juan Wang; Xueqiu Lin; Yulin Yang; Len Taing; Prakash Rao; Myles Brown; Yong Zhang; Henry W. Long; X. Shirley Liu

SUMMARY Chromatin immunoprecipitation and DNase I hypersensitivity assays with high-throughput sequencing have greatly accelerated the understanding of transcriptional and epigenetic regulation, although data reuse for the community of experimental biologists has been challenging. We created a data portal CistromeFinder that can help query, evaluate and visualize publicly available Chromatin immunoprecipitation and DNase I hypersensitivity assays with high-throughput sequencing data in human and mouse. The database currently contains 6378 samples over 4391 datasets, 313 factors and 102 cell lines or cell populations. Each dataset has gone through a consistent analysis and quality control pipeline; therefore, users could evaluate the overall quality of each dataset before examining binding sites near their genes of interest. CistromeFinder is integrated with UCSC genome browser for visualization, Primer3Plus for ChIP-qPCR primer design and CistromeMap for submitting newly available datasets. It also allows users to leave comments to facilitate data evaluation and update. AVAILABILITY http://cistrome.org/finder. CONTACT [email protected] or [email protected].


Scientific Reports | 2015

PHF8 and REST/NRSF co-occupy gene promoters to regulate proximal gene expression

Juan Wang; Xueqiu Lin; Su Wang; Chenfei Wang; Qixuan Wang; Xikun Duan; Peng Lu; Qian Wang; Chengyang Wang; X. Shirley Liu; Jinyan Huang

Chromatin regulators play an important role in the development of human diseases. In this study, we focused on Plant Homeo Domain Finger protein 8 (PHF8), a chromatin regulator that has attracted special concern recently. PHF8 is a histone lysine demethylase ubiquitously expressed in nuclei. Mutations of PHF8 are associated with X-linked mental retardation. It usually functions as a transcriptional co-activator by associating with H3K4me3 and RNA polymerase II. We found that PHF8 may associate with another regulator, REST/NRSF, predominately at promoter regions via studying several published PHF8 chromatin immunoprecipitation-sequencing (ChIP-Seq) datasets. Our analysis suggested that PHF8 not only activates but may also repress gene expression.


Genome Biology | 2017

Sparse conserved under-methylated CpGs are associated with high-order chromatin structure

Xueqiu Lin; Jianzhong Su; Kaifu Chen; Benjamin Rodriguez; Wei Li

BackgroundWhole-genome bisulfite sequencing (WGBS) is the gold standard for studying landscape DNA methylation. Current computational methods for WGBS are mainly designed for gene regulatory regions with multiple under-methylated CpGs (UMCs), such as promoters and enhancers.ResultsTo reliably predict the functional importance of single isolated UMCs across the genome, which is usually not achievable using traditional methods, we develop a multi-sample-based method. We identified 9421 sparse conserved under-methylated CpGs (scUMCs) from 31 high-quality methylomes, which are enriched in distal interacting anchor regions co-occupied by multiple chromatin-loop factors and are flanked by highly methylated CpGs. Moreover, cell lineage-specific scUMCs are associated with essential developmental genes, regulators of cell differentiation, and chromatin remodeling enzymes. Dynamic methylation levels of scUMCs correlate with the intensity of chromatin interactions and binding of looping factors as well as patterns of gene expression.ConclusionsWe introduce an innovative computational method for the identification of scUMCs, which are novel epigenetic features associated with high-order chromatin structure, opening new directions in the study of the inter-relationships between DNA methylation and chromatin structure.


Genome Biology | 2018

DNMT3A and TET1 cooperate to regulate promoter epigenetic landscapes in mouse embryonic stem cells

Tianpeng Gu; Xueqiu Lin; Sean M. Cullen; Min Luo; Mira Jeong; Marcos R. Estecio; Jianjun Shen; Swanand Hardikar; Deqiang Sun; Jianzhong Su; Danielle Rux; Anna Guzman; Minjung Lee; Lei Stanley Qi; Jia-Jia Chen; Michael Kyba; Yun Huang; Taiping Chen; Wei Li; Margaret A. Goodell

BackgroundDNA methylation is a heritable epigenetic mark, enabling stable but reversible gene repression. In mammalian cells, DNA methyltransferases (DNMTs) are responsible for modifying cytosine to 5-methylcytosine (5mC), which can be further oxidized by the TET dioxygenases to ultimately cause DNA demethylation. However, the genome-wide cooperation and functions of these two families of proteins, especially at large under-methylated regions, called canyons, remain largely unknown.ResultsHere we demonstrate that DNMT3A and TET1 function in a complementary and competitive manner in mouse embryonic stem cells to mediate proper epigenetic landscapes and gene expression. The longer isoform of DNMT3A, DNMT3A1, exhibits significant enrichment at distal promoters and canyon edges, but is excluded from proximal promoters and canyons where TET1 shows prominent binding. Deletion of Tet1 increases DNMT3A1 binding capacity at and around genes with wild-type TET1 binding. However, deletion of Dnmt3a has a minor effect on TET1 binding on chromatin, indicating that TET1 may limit DNA methylation partially by protecting its targets from DNMT3A and establishing boundaries for DNA methylation. Local CpG density may determine their complementary binding patterns and therefore that the methylation landscape is encoded in the DNA sequence. Furthermore, DNMT3A and TET1 impact histone modifications which in turn regulate gene expression. In particular, they regulate Polycomb Repressive Complex 2 (PRC2)-mediated H3K27me3 enrichment to constrain gene expression from bivalent promoters.ConclusionsWe conclude that DNMT3A and TET1 regulate the epigenome and gene expression at specific targets via their functional interplay.


Genome Biology | 2018

Homeobox oncogene activation by pan-cancer DNA hypermethylation

Jianzhong Su; Yung Hsin Huang; Xiaodong Cui; Xinyu Wang; Xiaotian Zhang; Yong Lei; Jianfeng Xu; Xueqiu Lin; Kaifu Chen; Jie Lv; Margaret A. Goodell; Wei Li

BackgroundCancers have long been recognized to be not only genetically but also epigenetically distinct from their tissues of origin. Although genetic alterations underlying oncogene upregulation have been well studied, to what extent epigenetic mechanisms, such as DNA methylation, can also induce oncogene expression remains unknown.ResultsHere, through pan-cancer analysis of 4174 genome-wide profiles, including whole-genome bisulfite sequencing data from 30 normal tissues and 35 solid tumors, we discover a strong correlation between gene-body hypermethylation of DNA methylation canyons, defined as broad under-methylated regions, and overexpression of approximately 43% of homeobox genes, many of which are also oncogenes. To gain insights into the cause-and-effect relationship, we use a newly developed dCas9-SunTag-DNMT3A system to methylate genomic sites of interest. The locus-specific hypermethylation of gene-body canyon, but not promoter, of homeobox oncogene DLX1, can directly increase its gene expression.ConclusionsOur pan-cancer analysis followed by functional validation reveals DNA hypermethylation as a novel epigenetic mechanism for homeobox oncogene upregulation.

Collaboration


Dive into the Xueqiu Lin's collaboration.

Top Co-Authors

Avatar

Wei Li

Baylor College of Medicine

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Jianzhong Su

Baylor College of Medicine

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Min Luo

Baylor College of Medicine

View shared research outputs
Top Co-Authors

Avatar

Mira Jeong

Baylor College of Medicine

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Xiaotian Zhang

Baylor College of Medicine

View shared research outputs
Researchain Logo
Decentralizing Knowledge