1.Characteristics of genetic variants in 134 patients with Acute myeloid leukemia.
Miao HE ; Xiaochen ZHAO ; Hongjuan TIAN ; Shuting ZHANG ; Fangqing ZHAO ; Xi ZHANG ; Tao WU
Chinese Journal of Medical Genetics 2023;40(10):1222-1227
OBJECTIVE:
To analyze the characteristics of genetic variants in 134 patients diagnosed with Acute myeloid leukemia (AML).
METHODS:
Clinical data of the 134 patients with AML (non-acute promyelocytic leukemia) initially diagnosed at the 940th Hospital of the Joint Logistics Support Force of the Chinese People's Liberation Army from June 2017 to June 2022 were retrospectively analyzed. Potential variants of AML-related genes were detected by next-generation sequencing, and the frequency of variants was analyzed by using SPSS v26.0 software, and likelihood ratio χ2 test and Fisher exact test were used for data analysis.
RESULTS:
The patients had included 72 males and 62 females, with a gender ratio of 1.7 : 1 and a median age of 51 years (9 ~ 86 years old). One hundred twenty patients (76.1%) had harbored at least one genetic variant, including 26 (19.4%) having a single variant, 27 (20.1%) having two variants, and 49 (36.6%) having >= 3 variants. 32 (23.9%) had no detectable variants. Genetic variants detected in over 10% of the 134 patients had included NPM1 (n = 24, 17.91%), FLT3-ITD (n = 21, 15.67%), DNMT3A (n = 20, 14.93%), CEBPA (single variant; n = 14, 10.45%), TET2 (n = 14, 10.45%), and NRAS (n = 14, 10.45%). The patients were also divided into low risk, intermediate risk and high risk groups based on their chromosomal karyotypes. The mutational rates for genes in different groups have varied, with 19 patients from the low risk group harboring variants of NRAS (n = 4, 21.05%), KRAS (n = 4, 21.05%), and KIT (n = 2, 10.53%); and 96 patients from the intermediate risk group harboring variants of NPM1 (n = 24, 25.00%), FLT3-ITD (n = 20, 20.83%), DNMT3A (n = 18, 18.75%), CEBPA (n = 12, 12.50%), and TET2 genes (n = 12, 12.50%). The mutational frequencies for the 19 patients from the high risk group were ASXL1 (n = 7, 21.05%), NRAS (n = 3, 15.97%), TP53 (n = 3, 15.79%), and EZH2 (n = 2, 10.53%). A significant difference was found in the frequencies of KIT, NPM1, FLT3-ITD, DNMT3A, and ASXL1 gene variants among the low-risk, medium-risk, and high-risk groups.
CONCLUSION
AML patients have a high frequency for genetic variants, with 76.1% harboring at least one variant. The frequency of genetic variants have varied among patients with different chromosomal karyotypes, and there are apparent dominant variants. KIT, NPM1, FLT3-ITD, DNMT3A, and ASXL1 may be used as prognostic factors for evaluating their prognosis.
Aged, 80 and over
;
Female
;
Humans
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Male
;
Middle Aged
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Leukemia, Myeloid, Acute/genetics*
;
Leukemia, Promyelocytic, Acute
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Nuclear Proteins
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Retrospective Studies
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Child
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Adolescent
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Young Adult
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Adult
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Aged
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East Asian People
2.Variation of the Vaginal Microbiome During and After Pregnancy in Chinese Women
Zhang XIAOAI ; Zhai QINGZHI ; Wang JINFENG ; Ma XIULING ; Xing BO ; Fan HANG ; Gao ZHIYING ; Zhao FANGQING ; Liu WEI
Genomics, Proteomics & Bioinformatics 2022;20(2):322-333
A comprehensive profiling of the vaginal microbial communities and their variability enables an accurate description of the microbiome in women.However,there is a lack of studies available on Chinese women.In the present study,the composition of the vaginal microbiota during pregnancy and the 6-week postpartum period of 454 Chinese women was characterized by sequenc-ing the V3-V4 region of the 16S ribosomal RNA(rRNA)gene.The vaginal microbiome showed variations during pregnancy and the postpartum period based on the abortion history,hypertensive disorders,delivery mode,and maternal age.Co-variation of 22 bacterial taxa,including the Lacto-bacillus genus and two of its species,may account for the common characteristics of the vaginal microbiome under scenarios of different medical histories and pregnancy outcomes.In contrast,dis-criminant bacterial species were significantly different between women who had preterm birth(PTB)with and without premature rupture of membranes(PROM),and the community state type(CST)Ⅳ-A without any predominant Lactobacillus species in the microbiota was more prevalent during pregnancy in the PROM-PTB cases,suggesting that specific bacterial species could be considered to distinguish between different types of PTB.By providing data on Chinese women,this study will enrich the knowledge of the human microbiome and contribute to a better understanding of the association between the vaginal microbiome and reproductive health.
3.First Glimpse of Gut Microbiota of Quarantine Insects in China
Yu YANXUE ; Wang QI ; Zhou PING ; Lv NA ; Li WEI ; Zhao FANGQING ; Zhu SHUIFANG ; Liu DI
Genomics, Proteomics & Bioinformatics 2022;20(2):394-404
Quarantine insects are economically important pests that frequently invade new habitats.A rapid and accurate monitoring method to trace the geographical sources of invaders is required for their prevention,detection,and eradication.Current methods based on genetics are typically time-consuming.Here,we developed a novel tracing method based on insect gut microbiota.The source location of the insect gut microbiota can be used to rapidly determine the geographical origin of the insect.We analyzed 179 gut microbiota samples from 591 individuals of 22 quarantine insect species collected from 36 regions in China.The gut microbiota of these insects primarily included Actinobacteria,Bacteroidetes,Cyanobacteria,Firmicutes,Proteobacteria,and Tenericutes.The diversity of the insect gut microbiota was closely associated with geographical and environmental factors.Different insect species could be distinguished based on the composition of gut microbiota at the phylum level.Populations of individual insect species from different regions could be distin-guished based on the composition of gut microbiota at the phylum,class,and order levels.A method for determining the geographical origins of invasive insect species has been established;however,its practical application requires further investigations before implementation.
4. Salvianolic acid A activates AMPK and SIRT1 to reduce palmitic acid-induced lipotoxicity in hepatocyte
Fangqing ZHAO ; Wenwen YANG ; Yujie YIN ; Xiaobing DOU ; Bin ZHANG ; Bangcai WANG ; Xiaobing DOU ; Songtao LI ; Songtao LI ; Linwensi ZHU
Chinese Journal of Clinical Pharmacology and Therapeutics 2021;26(3):241-249
AIM: To investigate the protective affect of salvianolic acid A on palmitic acid-induced lipotoxicity in hepatocyte and its potential molecular mechanism. METHODS: The lipotoxicity model of AML12 hepatocytes induced by PA was established. Different concentrations of Sal A (20, 40, 80, 120 μmol/L) were intervened. The hepatocyte injury was detected by the Lactate dehydrogenase (LDH) method, the intracellular triglyceride (TG) content was detected by enzyme assay and the lipid droplets were observed by Bodipy staining, cell viability was detected by MTT, Intracellular reactive oxygen species (ROS) were detected by 2'eci'- dichlorofluorescein diacetate (DCFH-DA) and fluorescence microscope. Mitochondrial membrane potential was detected by rhodamine 123 and fluorescence microscope. The expression of phosphorylation of AMP-activated protein kinase (AMPK) protein and silent information regulator 1 (SIRT1) protein were observed by Western blot. RESULTS: Model of hepatocyte lipotoxicity was established after intervented for 12 h in vitro with PA (0.5 mmol/L). Different concentrations of Sal A could significantly reduce the lipid deposition and hepatocytes injury induced by PA (P<0.05), and the protective effect was dose-dependent. Secondly, Sal A could significantly improve cell mitochondrial membrane potential (P<0.01) and abate the ROS level of hepatocytes induced by PA (P<0.01). In addition, PA could significantly inhibit AMPK and SIRT1 protein expression (P<0.05). Salvianolic acid A can significantly up-regulate SIRT1 and AMPK protein expression (P<0.05). CONCLUSION: Sal A improves PA induced lipotoxicity in hepatocyte, AMPK and SIRT1 may be a potential molecular target.
5.Expert consensus on microbiome sequencing and analysis.
Yunfeng DUAN ; Shengyue WANG ; Yubao CHEN ; Ruifu YANG ; Houkai LI ; Huaiqiu ZHU ; Yigang TONG ; Wenbin WU ; Yu FU ; Songnian HU ; Jun WANG ; Yuhua XIN ; Fangqing ZHAO ; Yiming BAO ; Wen ZHANG ; Juan LI ; Ming ZENG ; Haitao NIU ; Xin ZHOU ; Yan LI ; Shenghui CUI ; Jing YUAN ; Junhua LI ; Jiayi WANG ; Donglai LIU ; Ming NI ; Qing SUN ; Ye DENG ; Baoli ZHU
Chinese Journal of Biotechnology 2020;36(12):2516-2524
In the past ten years, the research and application of microbiome has continued to increase. The microbiome has gradually become the research focus in the fields of life science, environmental science, and medicine. Meanwhile, many countries and organizations around the world are launching their own microbiome projects and conducting a multi-faceted layout, striving to gain a strategic position in this promising field. In addition, whether it is scientific research or industrial applications, there has been a climax of research and a wave of investment and financing, accordingly, products and services related to the microbiome are constantly emerging. However, due to the rapid development of microbiome sequencing and analysis related technologies and methods, the research and application from various countries have not yet unified on the standards of technology, programs, and data. Domestic industry participants also have insufficient understanding of the microbiome. New methods, technologies, and theories have not yet been fully accepted and used. In addition, some of the existing standards and guidelines are too general with poor practicality. This not only causes obstacles in the integration of scientific research data and waste of resources, but also gives related companies unfair competition opportunity. More importantly, China still lacks national standards related to the microbiome, and the national microbiome project is still in the process of preparation. In this context, the experts and practitioners of the microbiome worked together and developed the consensus of experts. It can not only guide domestic scientific research and industrial institutions to regulate the production, learning and research of the microbiome, the application can also provide reference technical basis for the relevant national functional departments, protect the scale and standardized corporate company's interests, strengthen industry self-discipline, avoid unregulated enterprises from disrupting the market, and ultimately promote the benign development of microbiome-related industries.
China
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Consensus
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Humans
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Industry
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Microbiota
7.Single-cell metagenomics: challenges and applications.
Protein & Cell 2018;9(5):501-510
With the development of high throughput sequencing and single-cell genomics technologies, many uncultured bacterial communities have been dissected by combining these two techniques. Especially, by simultaneously leveraging of single-cell genomics and metagenomics, researchers can greatly improve the efficiency and accuracy of obtaining whole genome information from complex microbial communities, which not only allow us to identify microbes but also link function to species, identify subspecies variations, study host-virus interactions and etc. Here, we review recent developments and the challenges need to be addressed in single-cell metagenomics, including potential contamination, uneven sequence coverage, sequence chimera, genome assembly and annotation. With the development of sequencing and computational methods, single-cell metagenomics will undoubtedly broaden its application in various microbiome studies.
Animals
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Bacteria
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genetics
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Computational Biology
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methods
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High-Throughput Nucleotide Sequencing
;
methods
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Humans
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Metagenomics
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Single-Cell Analysis
;
methods
8.Detection and analysis of copy number variation from 1000 Genomes trio data.
Journal of Southern Medical University 2015;35(6):777-782
Copy number variation (CNV) is an important type of genomic structural variation and plays a crucial role in genomic disorders imposed by diseases. Most of the current bioinformatic researches focus on developing algorithms and tools for detecting CNVs from single or paired datasets, but the analysis of such CNVs is not sufficient from a family-based genetic point of view. We performed a trio-sample family based parents-offspring CNV analysis using the 1000G data. We found a number of CNVs that the offsprings inherited from their parents and inferred through hierarchical analysis how they were generated. In addition, we also discovered several de novo CNV candidates.
Algorithms
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Computational Biology
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DNA Copy Number Variations
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Genomics
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Humans
10.Phylogenomics of non-model ciliates based on transcriptomic analyses.
Xiao CHEN ; Xiaolu ZHAO ; Xiaohui LIU ; Alan WARREN ; Fangqing ZHAO ; Miao MIAO
Protein & Cell 2015;6(5):373-385
Ciliates are one of the oldest living eukaryotic unicellular organisms, widely distributed in the waters around the world. As a typical marine oligotrich ciliate, Strombidium sulcatum plays an important role in marine food webs and energy flow. Here we report the first deep sequencing and analyses of RNA-Seq data from Strombidium sulcatum. We generated 42,640 unigenes with an N50 of 1,451 bp after de novo assembly and removing rRNA, mitochondrial and bacteria contaminants. We employed SPOCS to detect orthologs from S. sulcatum and 17 other ciliates, and then carried out the phylogenomic reconstruction using 127 single copy orthologs. In phylogenomic analyses, concatenated trees have similar topological structures with concordance tree on the class level. Together with phylogenetic networks analysis, it aroused more doubts about the placement of Protocruzia, Mesodinium and Myrionecta. While epiplasmic proteins are known to be related to morphological characteristics, we found the potential relationship between gene expression of epiplasmic proteins and morphological characteristics. This work supports the use of high throughput approaches for phylogenomic analysis as well as correlation analysis between expression level of target genes and morphological characteristics.
Ciliophora
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genetics
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metabolism
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Phylogeny
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RNA, Protozoan
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genetics
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metabolism
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Transcriptome
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physiology

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