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Precision Medicine:What Challenges Are We Facing?

genomics, Proteomics & Bioinformatics 2016年第5期14卷 253-261页

作者： Yu Xue Eric-Wubbo Lameijer Kai Ye Kunlin Zhang Suhua Chang Xiaoyue Wang Jianmin Wu Ge Gao Fangqing Zhao Jian Li Chunsheng han Shuhua Xu Jingfa Xiao Xuerui Yang Xiaomin Ying Xuegong Zhang Wei-Hua Chen Yun Liu Zhang Zhang Kun Huang Jun Yu MOE key Lahoratory of Molecular Biophysics College of Life Science and Technology and the Collaborative Innovation Center for Brain ScienceHuazhong University of Science and TechnologyWuhan 430074China School of Electronic and Information Engineering.Xi'an Jiaotong University.Xi'an 710049 China CAS key laboratory of Mental {2. Institute of PsychologyChinese Academy of SciencesBeijing 100101China State key laboratory of'Medical Molecular Biology Institute of Basic Medical SciencesChinese Academy of Medical SciencesPeking Union Medical CollegeBeijing 100005China MOE Beijing Key Laboratory of Carcinogenesis and Translatiooal ResearchCenter for Cancer BioinformaticsPeking University Cancer Hospital&InstituteBeijing 100142China center for Bioinformatics State Key Laboratory of Protein and Plant Gene ResearchSchool of Life SciencesPeking UniversityBeijing 100871China Beijing Institutes of Life Science.chinese Academy of Sciences Beijing 100101China MOE key Lahoratory of Developnlental Genes and human Disease Institute of Life SciencesSoutheast UniversityNanjing 210096China State key laboratory of Stem Cell and Reproductive Biology Institute of Zoology Chinese Academy of SciencesBeijing 100101China Max Planck Independent Research Group on Population genomics CAS-MPG Partner Institute for Computational Biology(PICB)Shanghai Institutes for Biological SciencesChinese Academy of SciencesShanghai 200031China CAS Ker laboratory of genome Sciences and Information Chinese Academy of Sciences.Beijing 100101China MOE key laboratory of Bioinformatics School of Life Sciences Center for Synthetic and Systems BiologyTsinghua UniversityBeijing 100084China Computational Omics Lahoratory Center of Computational BiologyBeijing Institute of Basic Medical SciencesBeijing 100850China Bioinformatics Division TNLIST and MOE Key Laboratory for Bioinformatics Department of AutomationTsinghua UniversityBeijing 100084China Department of Bioinformatics and Systems Biology College of LifeScience and Technol

Following the publication of the US national Research Council （N RC） report ＂ Toward PrecMon Medicine.＂ Building a Knowledge Network for Biomedical Research and a New Taxonomy of Diseases＂ in 2.11 [1], several n... 详细信息

关键词： PMI Precision Medicine data We

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Tn5表达与纯化及对ZF4细胞DNA的酶活力测试

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基因组学与应用生物学 2020年第10期39卷 4487-4490页

作者：富伟康姜蓬垒刘玮韩兵社张俊芳上海海洋大学中国科学技术部海洋生物科学国际联合研究中心水产科学国家级实验教学示范中心水产种质资源发掘与利用教育部重点实验室上海201306

转座酶因其能够插入目的片段的能力正受到越来越多的关注,经过改造的高活性转座酶可用于标记DNA,具有较大的应用价值,如ATAC-seq(Assay for transposase-accessible chromatin using sequencing)以及TrAC-looping(Transposase-mediated analysis of chromatin looping)等染色质高级结构捕获实验,使用高活性转座酶为染色质开放区DNA或存在染色质相互作用的片段加上标记,从而分离出目的片段。天然转座酶普遍活性较低,缺乏实际应用价值,而经过改造的高活性转座酶因其可能导致的致死突变,对宿主具有较大毒性,难以制备。本研究优化了高活性转座酶Tn5的原核表达以及纯化方法,将已转化pet15b His6Tn5质粒的改良型工程菌BL2.-Gold(DE3)以及毒性蛋白诱导条件进行原核表达,借助高活性转座酶Tn5带有的His tag标签进行纯化,通过Western blotting鉴定了纯化所得蛋白,并使用考马斯亮蓝染色测定了目的蛋白浓度,采取在标准反应条件下与斑马鱼ZF4细胞基因组DNA反应的方法,测试了纯化所得Tn5的活性。本研究为进一步探测ZF4细胞基因组的三维结构提供了研究基础。

关键词：转座酶 Tn5 原核表达蛋白质纯化酶活性

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Sex differences in the scored Patient-Generated Subjective Global Assessment in 19,52. cancer patients

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Journal of Nutritional Oncology 2023年第1期8卷 38-46页

作者： Wang Yan-Li Wu Tian-Tian Fu Zhen-Ming Guo Zeng-Qing Lin Yuan Shi Ying-Ying Hu Wen Ba Yi Li Su-Yi Li Zeng-Ning Wang Kun-Hua Wu Jing He Ying Yang Jia-Jun Xie Cong-Hua Zhou Fu-Xiang Song Xin-Xia Chen Gong-Yan Ma Wen-Jun Luo Su-Xia Chen Zi-Hua Cong Ming-Hua Ma Hu Zhou Chun-Ling Wang Wei Luo Qi Shi Yong-Mei Qi Yu-Mei Jiang Hai-Ping Guan Wen-Xian Chen Jun-Qiang Chen Jia-Xin Fang Yu Zhou Lan Feng Yong-Dong Tan Rong-Shao Li Tao Ou Jun-Wen Zhao Qing-Chuan Wu Jian-Xiong Lin Xin Yang Liu-Qing Zhang Qi Jia Ping-Ping Li Wei Xu Hong-Xia Shi han-Ping Song Chun-Hua The Investigation on Nutrition Status and Clinical Outcome of Common Cancers(INSCOC)Group {2. Society of Nutritional Oncology Department of Epidemiology and Statistics College of Public HealthZhengzhou UniversityZhengzhouHenanChina Cancer center Renmin Hospital of Wuhan UniversityWuhanHubeiChina Department of Medical Oncology Fujian Cancer HospitalFujian Medical University Cancer HospitalFuzhouFujianChina Department of Gastrointestinal Surgery Affiliated Tumor Hospital of Guangxi Medical UniversityNanningGuangxiChina Department of Surgery The First Affiliated Hospital of Sun Yat-sen UniversityGuangzhouGuangdongChina Department of Clinical Nutrition West China Hospital of Sichuan UniversityChengduSichuanChina Department of Gastrointestinal Oncology Tianjin Medical University Cancer Institute and HospitalNational Clinical Research Center for CancerTianjin Key Laboratory of Cancer Prevention and TherapyTianjinChina Department of Nutrition and Metabolism of Oncology Affiliated Provincial Hospital of Anhui Medical UniversityHefeiAnhuiChina Department of Clinical Nutrition The First Hospital of Hebei Medical UniversityShijiazhuangHebeiChina Department of Gastrointestinal Surgery Institute of GastroenterologyThe First Affiliated Hospital of Kunming Medical UniversityKunmingYunnanChina Zhongshan Chenxinghai Hospital(Affiliated Zhongshan Chenxinghai Hospital of Guangdong Medical University) ZhongshanGuangdongChina Department of Clinical Nutrition The First People's Hospital of KashiKashiXinjiangChina Department of Clinical Nutrition Chongqing General HospitalChongqingChina Department of Colorectal and Anal Surgery Huizhou Municipal Central HospitalHuizhouGuangdongChina Department of Radiation and Medical Oncology Zhongnan Hospital of Wuhan UniversityWuhanHubeiChina Department of Oncology Xingtai People’s HospitalHebei Medical UniversityXingtaiHebeiChina The First Department of the Tumor Hospital of Harbin Medical University HarbinHeilongjiangChina Department of Nutrition Guangdong General HospitalGuangdong Academy of Medical SciencesGuangzhouGuangdongChina Department of Oncology Affiliated

Background:The scored Patient-Generated Subjective Global Assessment(PG-SGA)has been widely used to assess the nutritional status of cancer *** purpose of this study is to compare the differences in PG-SGA scores and the 7 domain scores of the PG-SGA in male and female cancer ***:This study was conducted at 72.hospitals from July 2.13 to December 2.18,a part of the Investigation on Nutritional Status and its Clinical Outcomes of Common *** PG-SGA was recorded to evaluate the nutritional status of patients.A total of 19,52. patients with 13 common malignancies were included in this *** t test and the χ^(2. test were applied to analyze the sex diferences in the 7 domain *** Cancer genome Atlas(TCGA)database was used to analyze the expression levels of symptom-related ***:There were significant sex dfferences in the PG-SGA(P=0.032.,notably in patients with gastric cancer(male vs female:9.09±4.86 vs 9.58±5.07,P=0.005)and esophageal cancer(9.64±4.90 vs 10.46±4.96,P=0.011)and the average total PG-SGA of female patients was slightly higher than that of male patients(7.64±4.98 vs 7.77±5.14).The differences were mainly related to the weight,eating,symptom,as well as activity and physical function scores in the stratified *** causes of the sex differences were the rates of nausea,vomiting,dry mouth,and other symptoms,in both gastric and esophageal cancer *** of the TCGA database suggested that {2. of the related genes were sex neutral,except for genes related to dysphagia in gastric cancer(VEGFC was higher in female patients,VEGFA and VEGFB higher in male patients).Conclusions:There are sex differences in the PG-SGA scores in patients with various tumor types(female patients generally had higher scores than male patients),with differences mainly in the weight,eating,symptom,as well as activity and physical function *** sex differences in PG-SGA scores might be due to the differences i

关键词： PG-SGA Sex differences Malnutrition Cancer patients TCGA database

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多囊卵巢综合征无排卵的胰岛素信号和雄激素合成的新遗传风险和代谢特征

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Engineering 2023年第4期23卷 103-111,M0005,M0006页

作者：吴效科黄志超曹义娟李建李志强马红丽高敬书常惠张多加丛晶王宇吴奇 Xiaoxiao han Pui Wah Jacqueline Chung Yiran Li Xu Zheng Lingxi Chen Lin Zeng Astrid Borchert Hartmut Kuhn Zi-Jiang Chen Ernest Hung Yu Ng Elisabet Stener-Victorin 张和平 Richard S.Legro Ben Willem J.Mol 师咏勇 The First Affiliated Hospital Heilongjiang University of Chinese MedicineHarbin 150040China Department of Reproductive Medicine Heilongjiang Provincial HospitalHarbin Institute of TechnologyHarbin 150030China Department of Obstetrics and Gynaecology The Chinese University of Hong KongHong Kong 999077China Reproduction and Development laboratory Li Ka Shing Institute of Health Sciences&Chinese University of Hong Kong-Sichuan University Joint Laboratory in Reproductive MedicineThe Chinese University of Hong KongHong Kong 999077China center for Reproductive Medicine Xuzhou Central HospitalXuzhou 221009China Department of Obstetrics and Gynecology The Affiliated Hospital of Gui Zhou Medical UniversityGuiyang 550004China Biomedical Sciences Institute The Affiliated Hospital of Qingdao UniversityQingdao 266000China key laboratory for the Genetics of Developmental and Neuropsychiatric Disorders Bio-X InstitutesMinistry of EducationShanghai Jiao Tong UniversityShanghai 200030China Department of Obstetrics and Gynecology Obstetrics and Gynecology HospitalFudan UniversityShanghai 200001China Clinical and Translational Research center of shanghai First Maternity and Infant Hospital Shanghai 200001China shanghai key {2. of Signaling and Disease Research Frontier Science Center for Stem Cell ResearchSchool of Life Sciences and TechnologyTongji UniversityShanghai 200001China Department of Computer Sciences City University of Hong KongHong Kong 999077China shanghai NewCore Biotechnology Co. Ltd.Shanghai 200240China Institute of Biochemistry Charité—University Medicine BerlinBerlin 10117Germany center for Reproductive Medicine Shandong UniversityJinan 250001China Department of Obstetrics and Gynaecology The University of Hong KongHong Kong 999077China Department of Physiology and Pharmacology Karolinska InstitutetStockholm 17177Sweden Department of Biostatistics Yale School of Public HealthNew HavenCT 06520USA Department of Obstetrics and Gynecology Pennsylvania State University

促排卵是多囊卵巢综合征(PCOS)不孕症的一线治疗方案。卵巢对促排卵治疗的排卵应答差被认为与胰岛素抵抗和高雄激素血症相关。在一个包含1000名PCOS不孕妇女(PCOSAct)的前瞻性队列中,我们开展了一项全外显子联合靶向单核苷酸多态性(SNP... 详细信息

促排卵是多囊卵巢综合征(PCOS)不孕症的一线治疗方案。卵巢对促排卵治疗的排卵应答差被认为与胰岛素抵抗和高雄激素血症相关。在一个包含1000名PCOS不孕妇女(PCOSAct)的前瞻性队列中,我们开展了一项全外显子联合靶向单核苷酸多态性(SNP)测序以及代谢组学研究。在全基因组水平找出与无排卵显著相关的常见变异和罕见突变,并通过机器学习算法构建排卵预测模型。研究发现,ZNF438基因中标记为rs2.94652.p=2.47×10^(-8))的常见变异和REC114基因中的一个罕见功能突变(rs182.42.88,p=5.79×10^(-6))与促排卵治疗失败显著相关。携带rs2.94652.A等位基因和REC114 ***101Leu(rs182.42.88)的PCOS不孕妇女进行促排卵治疗的总排卵率更低(分别为比值比(OR)=1.96,95%置信区间(CI)[1.55~2.49];OR=11.52.95%CI[3.08~43.05]),出现排卵的间隔时间更长(平均56.7天vs.49.0天,p2.94652.变者,L-苯丙氨酸水平升高并与胰岛素抵抗稳态模型(HOMA-IR)指数(r=0.2.,p=0.05)和空腹血糖(r=0.33,p=0.003)呈正相关;对于rs182.42.88突变者,花生四烯酸代谢产物水平下降并与升高的抗苗勒管激素(r=-0.51,p=0.01)和总睾酮(r=-0.71,p=0.02.呈负相关。整合基因变异位点、代谢产物及临床特征的联合预测模型可提高对排卵的预测能力[曲线下面积(AUC)=76.7%]。ZNF438基因的一个常见变异和REC114基因的一个罕见功能突变,以及与二者相关的苯丙氨酸和花生四烯酸代谢物改变,与PCOS女性不孕症的促排卵治疗失败相关。

关键词： Polycystic ovary syndrome Infertility Ovulation responses ZNF438 REC114 Whole-exome sequencing Deep machine learning

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ANKRD7 and CYTL1 are novel risk genes for alcohol drinking behavior

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chinese Medical Journal 2012年第6期125卷 1127-1134页

作者： CHEN Xiang-ding XIONG Dong-hai YANG Tie-lin PEI Yu-fang GUO Yan-fang LI Jian YANG Fang PAN Feng TAN Li-jun YAN han LIU Xiao-gang LEI Shu-feng LI Xi NING Ling-ling ZHU Xue-zhen Shawn Levy Henry R. Kranzler Lindsay A. Farrer Joel Gelernter Robert R. Recker DENG Hong-wen laboratory of Molecular and Statistical Genetics Key Laboratory of Protein Chemistry and Developmental Biology of Ministry of Education College of Life Sciences Hunan Institute of Biology Hunan Normal University Changsha Hunan 410081 China Departments of Orthopedic Surgery and Basic Medical Sciences University of Missouri-Kansas City Kansas City MO 64108 USA key laboratory of Biomedical Information Engineering of Ministry of Education and Institute of Molecular Genetics School of Life Science and Technology Xi＇an Jiaotong University Xi＇an Shannxi 710049 China Department of Biomedical Informatics Vanderbilt University Medical Center Nashville TN 37232 USA University of Connecticut health center Farmington CT 06030 USA Boston University School of Medicine Boston MA 02118 USA Department of Psychiatry Yale University School of Medicine West Haven CT 06516 USA Osteoporosis research center Creighton University Omaha NE 68131 USA Systematic Biomedicine Research center University of Shanghai for Science and Technology Shanghai 200093 China

Background Alcohol dependence （AD） is a complex disorder characterized by impaired control over drinking. It is determined by both genetic and environmental factors. The recent approach of genome-wide association study （GWAS） is a powerful tool for identifying complex disease-associated susceptibility alleles, however, a few GWASs have been conducted for AD, and their results are largely inconsistent. The present study aimed to screen the loci associated with alcohol-related phenotypes using GWAS technology. Methods A genome-wide association study with the behavior of regular alcohol drinking and alcohol consumption was performed to identify susceptibility genes associated with AD, using the Affymetrix 500K SNP array in an initial sample consisting of 904 unrelated Caucasian subjects. Then, the initial results in GWAS were replicated in three independent samples： 1972.Caucasians in 593 nuclear families, 761 unrelated Caucasian subjects, and 2.55 unrelated {2. hans. Results Several genes were associated with the alcohol-related phenotypes at the genome-wide significance level, with the ankyrin repeat domain 7 gene （ANKRDT） showing the strongest statistical evidence for regular alcohol drinking and suggestive statistical evidence for alcohol consumption. In addition, certain haplotypes within the ANKRD7 and cytokine-likel （CYTL 1） genes were significantly associated with regular drinking behavior, such as one ANKRD7 block composed of the SNPs rs6466686-rs42.5599-rs12.31066 （P = 6.51×10^-8）. The association of alcohol consumption was successfully replicated with rs42.5599 in ANKRD7 gene in independent Caucasian nuclear families and independent unrelated {2. hans, and with rs16836497 in CYTL1 gene in independent unrelated Caucasians. Meta-analyses based on both the GWAS and replication samples further supported the observed significant associations between the ANKRDTor CYTL1 gene and alcohol consumption. Conclusion The evidence suggests that ANKRD7 and CYTL 1 ge

关键词： alcohol dependence ANKRD7 CYTL1 genome-wide association study

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大鼠三叉神经病理性疼痛致病关键转录分子分析

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上海口腔医学 2023年第1期32卷 33-39页

作者：刘玥旻柴盈魏文斌刘芷扬韩孜祥陈敏洁上海交通大学医学院附属第九人民医院口腔外科上海交通大学口腔医学院国家口腔医学中心国家口腔疾病临床医学研究中心上海市口腔医学重点实验室上海市口腔医学研究所上海200011

目的 :分析三叉神经病理性疼痛致病关键转录分子,筛选参考三叉神经痛发病的关键分子。方法 :构建大鼠三叉神经病理性疼痛模型,即眶下神经慢性缩窄环模型(chronic constriction injury of distal infraorbital nerve, IoNCCI),观察动物... 详细信息

目的 :分析三叉神经病理性疼痛致病关键转录分子,筛选参考三叉神经痛发病的关键分子。方法 :构建大鼠三叉神经病理性疼痛模型,即眶下神经慢性缩窄环模型(chronic constriction injury of distal infraorbital nerve, IoNCCI),观察动物行为并收集三叉神经节进行RNA-seq转录组学分析。采用StringTie对基因组表达进行注释和定量,进一步计算基因和转录本的FPKM。使用DESeq2.行组间比较,设置筛选条件为Phange)>2.2.多个基因参与介导三叉神经痛的发生。结论:B细胞受体信号通路、细胞黏附、补体及凝血级联通路、神经免疫通路与三叉神经痛的发生密切相关。Cacna1s、Cox8b、Myl1、Ckm、Mylpf、Myoz1和Tnnc2.多个基因的相互作用,导致三叉神经痛发生。

关键词：三叉神经痛转录组测序神经病理性疼痛

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亚甲基四氢叶酸还原酶多态性的临床应用研究进展

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医学综述 2018年第7期24卷 1266-1272页

作者：周佳菁袁箐韩峻松王珂徐祎春上海生物芯片有限公司&生物芯片上海国家工程研究中心上海201203 上海人类基因组研究中心上海市疾病与健康基因组学实验室上海201203 上海中医药大学附属岳阳中西医结合医院临床免疫研究所上海200437

叶酸属于B族维生素,是体内极为重要的甲基供体,参与DNA合成和修复,维持细胞内正常甲基化和基因组稳定性。叶酸主要存在于食物中,人体无法依靠自身合成。叶酸摄入不足或代谢障碍均会引起叶酸缺乏,进而引起各种疾病。亚甲基四氢叶酸还原酶... 详细信息

叶酸属于B族维生素,是体内极为重要的甲基供体,参与DNA合成和修复,维持细胞内正常甲基化和基因组稳定性。叶酸主要存在于食物中,人体无法依靠自身合成。叶酸摄入不足或代谢障碍均会引起叶酸缺乏,进而引起各种疾病。亚甲基四氢叶酸还原酶(MTHFR)是叶酸代谢通路中的关键酶之一,其中位于MTHFR上的rs1801131和rs1801133的多态性与肿瘤的发生和用药、心脑血管疾病的发病风险、女性优生优育以及新生儿先天性缺陷等密切相关。

关键词：叶酸不孕不育肿瘤亚甲基四氢叶酸还原酶

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DOCK10基因在肝癌中的突变和表达分析及对肝内胆管癌细胞增殖和迁移的影响

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兰州大学学报（医学版） 2018年第4期44卷 1-8页

作者：张文君杨红胡涛涛韩泽广上海交通大学医学院附属瑞金医院系统生物医学教育部重点实验室上海200025 华东理工大学生物技术学院上海200237 上海市疾病与健康基因组学实验室国家人类基因组南方研究中心上海201203 上海交通大学系统生物医学研究院上海200240

目的通过生物信息学分析和实验验证,探讨胞质分裂贡献者(DOCK)基因家族在肝癌发生发展过程中的作用。方法通过基因序列比对和进化谱系分析对DOCK基因家族在7个进化关系上递进的物种定义和分类;挖掘肿瘤基因组公共数据库中DOCK基因家族... 详细信息

目的通过生物信息学分析和实验验证,探讨胞质分裂贡献者(DOCK)基因家族在肝癌发生发展过程中的作用。方法通过基因序列比对和进化谱系分析对DOCK基因家族在7个进化关系上递进的物种定义和分类;挖掘肿瘤基因组公共数据库中DOCK基因家族在肝癌及其他癌症中的突变和表达数据;采用实时定量RT-PCR技术和蛋白印记技术检测DOCK10在16对肝内胆管细胞癌(肝癌亚型)组织样本及其癌旁组织和5株胆管癌细胞系中的表达;利用RNA干扰将DOCK10低表达后观察其对胆管癌细胞增殖、细胞迁移能力的影响。结果通过对7个物种的进化分析显示,人类DOCK家族的11个成员在进化过程中是保守的;突变谱和表达谱分析显示,DOCK2.DOCK10基因在肝癌中存在较高频率的突变或较低的表达量,其中DOCK10在胆管细胞癌中突变频率较高(9%);定量和半定量PCR实验结果表明,与对照组癌旁组织相比,DOCK10基因在16个胆管癌组织样本中表达量明显下降;同时,低表达DOCK10后,肝内胆管癌细胞系RBE、Hucct1和Hccc9810的细胞增殖和细胞迁移能力明显提高。结论DOCK10基因可能是肝内胆管细胞癌发生与发展过程中的抑癌基因,而DOCK10低表达或基因突变会促进肝内胆管细胞癌发展。

关键词：肝癌肝内胆管细胞癌胞质分裂贡献者抑癌基因基因突变细胞增殖细胞迁移

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Hemin诱导K562.胞分化前后PU.1全基因组结合位点探测

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医学分子生物学杂志 2022年第1期19卷 10-19页

作者：张泽辉季涛李梦佳何昌昊张俊芳韩兵社上海海洋大学水产种质资源发掘与利用教育部重点实验室水产科学国家级实验教学示范中心上海市201306

目的探讨K562.胞分化前后全基因组上的PU.1结合位点图谱及靶基因。方法用hemin对K562.胞诱导分化72.h,诱导分化前后的细胞利用PU.1抗体进行染色质免疫共沉淀实验,并进行高通量测序,利用生物信息学分析K562.胞分化前后PU.1在基因组上... 详细信息

目的探讨K562.胞分化前后全基因组上的PU.1结合位点图谱及靶基因。方法用hemin对K562.胞诱导分化72.h,诱导分化前后的细胞利用PU.1抗体进行染色质免疫共沉淀实验,并进行高通量测序,利用生物信息学分析K562.胞分化前后PU.1在基因组上的结合位点,并进行基因注释、基因功能分析、KEGG通路分析及靶基因预测。结果发现K562.胞分化前PU.1结合位点有3107个,分化后的结合位点有1897个,共有的结合位点有843个。KEGG通路分析结果显示,分化后PU.1结合位点特有的信号通路有NF-κB信号通路,生长激素合成、分泌和运输通路,MAPK信号通路。K562.胞分化前后有12.0个差异的PU.1结合位点,对应179个靶基因,其中分化相关的PU.1靶基因包括球蛋白基因、自噬相关基因、microRNA、非编码RNA以及转录因子。Motif分析结果显示,PU.1倾向于去结合ACTTCC特定序列。结论PU.1的基因组结合位点在K562.胞分化前后发生了显著变化,此研究结果为进一步揭示PU.1在血细胞中的功能及作用机制提供了依据。

关键词： K562.胞分化 PU.1 染色质免疫共沉淀-高通量测序

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