|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | KaKs_Calculator:Calculating Ka and Ks Through Model Selection and Model Averaging显示文摘KaKs_Calculator is a software package that calculates nonsynonymous (Ka) andsynonymous (Ks) substitution rates through model selection and model averag-ing. Since existing methods for this estimation adopt their specific mutation(substitution) models that consider different evolutionary features, leading todiverse estimates, KaKs Calculator implements a set of candidate models in amaximum likelihood framework and adopts the Akaike information criterion tomeasure fitness between models and data, aiming to include as many featuresas needed for accurately capturing evolutionary information in protein-coding se-quences. In addition, several existing methods for calculating Ka and Ks arealso incorporated into this software. KaKs Calculator, including source codes,compiled executables, and documentation, is freely available for academic use athttp://gffzz5c65aa98f6514e89h09vuux6cfkvo6wo5.ffgz.tsg.suse.edu.cn/software.htm. | Zhang Zhang Jun Li Xiao-Qian Zhao Jun Wang Gane Ka-Shu Wong Jun Yu | 2006 | Genomics, Proteomics & Bioinformatics2006，4，4： | 86 |
| 2 | Exosome and Exosomal MicroRNA: Trafficking, Sorting, and Function显示文摘Exosomes are 40–100 nm nano-sized vesicles that are released from many cell types into the extracellular space. Such vesicles are widely distributed in various body fluids. Recently,m RNAs and micro RNAs(mi RNAs) have been identified in exosomes, which can be taken up by neighboring or distant cells and subsequently modulate recipient cells. This suggests an active sorting mechanism of exosomal mi RNAs, since the mi RNA profiles of exosomes may differ from those of the parent cells. Exosomal mi RNAs play an important role in disease progression, and can stimulate angiogenesis and facilitate metastasis in cancers. In this review, we will introduce the origin and the trafficking of exosomes between cells, display current research on the sorting mechanism of exosomal mi RNAs, and briefly describe how exosomes and their mi RNAs function in recipient cells.Finally, we will discuss the potential applications of these mi RNA-containing vesicles in clinical settings. | Jian Zhang Sha Li Lu Li Meng Li Chongye Guo Jun Yao Shuangli Mi | 2015 | Genomics, Proteomics & Bioinformatics2015，13，1： | 162 |
| 3 | PacBio Sequencing and Its Applications显示文摘Single-molecule, real-time sequencing developed by Pacific Bio Sciences offers longer read lengths than the second-generation sequencing(SGS) technologies, making it well-suited for unsolved problems in genome, transcriptome, and epigenetics research. The highly-contiguous de novo assemblies using Pac Bio sequencing can close gaps in current reference assemblies and characterize structural variation(SV) in personal genomes. With longer reads, we can sequence through extended repetitive regions and detect mutations, many of which are associated with diseases. Moreover, Pac Bio transcriptome sequencing is advantageous for the identification of gene isoforms and facilitates reliable discoveries of novel genes and novel isoforms of annotated genes,due to its ability to sequence full-length transcripts or fragments with significant lengths. Additionally, Pac Bio's sequencing technique provides information that is useful for the direct detection of base modifications, such as methylation. In addition to using Pac Bio sequencing alone, many hybrid sequencing strategies have been developed to make use of more accurate short reads in conjunction with Pac Bio long reads. In general, hybrid sequencing strategies are more affordable and scalable especially for small-size laboratories than using Pac Bio Sequencing alone. The advent of Pac Bio sequencing has made available much information that could not be obtained via SGS alone. | Anthony Rhoads Kin Fai Au | 2015 | Genomics, Proteomics & Bioinformatics2015，13，5： | 107 |
| 4 | KaKs_Calculator 2.0:A Toolkit Incorporating Gamma-Series Methods and Sliding Window Strategies显示文摘We present an integrated stand-alone software package named KaKs_Calculator 2.0 as an updated version.It incorporates 17 methods for the calculation of nonsynonymous and synonymous substitution rates;among them,we added our modified versions of several widely used methods as the gamma series including γ-NG,γ-LWL,γ-MLWL,γ-LPB,γ-MLPB,γ-YN and γ-MYN,which have been demonstrated to perform better under certain conditions than their original forms and are not implemented in the previous version.The package is readily used for the identification of positively selected sites based on a sliding window across the sequences of interests in 5' to 3' direction of protein-coding sequences,and have improved the overall performance on sequence analysis for evolution studies.A toolbox,including C++ and Java source code and executable files on both Windows and Linux platforms together with a user instruction,is downloadable from the website for academic purpose at http://gffzz6ccd80d7270b40f2s09vuux6cfkvo6wo5.ffgz.tsg.suse.edu.cn/projects/kakscalculator2/. | Dapeng Wang Yubin Zhang Zhang Zhang Jiang Zhu Jun Yu | 2010 | Genomics, Proteomics & Bioinformatics2010，8，1： | 79 |
| 5 | Roles, Functions, and Mechanisms of Long Non-coding RNAs in Cancer显示文摘Long non-coding RNAs(lnc RNAs) play important roles in cancer. They are involved in chromatin remodeling, as well as transcriptional and post-transcriptional regulation, through a variety of chromatin-based mechanisms and via cross-talk with other RNA species. lnc RNAs can function as decoys, scaffolds, and enhancer RNAs. This review summarizes the characteristics of lnc RNAs, including their roles, functions, and working mechanisms, describes methods for identifying and annotating lnc RNAs, and discusses future opportunities for lnc RNA-based therapies using antisense oligonucleotides. | Yiwen Fang Melissa J. Fullwood | 2016 | Genomics, Proteomics & Bioinformatics2016，14，1： | 63 |
| 6 | Transcriptional and Post-transcriptional Gene Regulation by Long Non-coding RNA显示文摘Advances in genomics technology over recent years have led to the surprising discovery that the genome is far more pervasively transcribed than was previously appreciated.Much of the newly-discovered transcriptome appears to represent long non-coding RNA(lncRNA),a heterogeneous group of largely uncharacterised transcripts.Understanding the biological function of these molecules represents a major challenge and in this review we discuss some of the progress made to date.One major theme of lncRNA biology seems to be the existence of a network of interactions with microRNA(miRNA) pathways.lnc RNA has been shown to act as both a source and an inhibitory regulator of mi RNA.At the transcriptional level,a model is emerging whereby lnc RNA bridges DNA and protein by binding to chromatin and serving as a scaffold for modifying protein complexes.Such a mechanism can bridge promoters to enhancers or enhancer-like non-coding genes by regulating chromatin looping,as well as conferring specificity on histone modifying complexes by directing them to specific loci. | Iain M.Dykes Costanza Emanueli | 2017 | Genomics, Proteomics & Bioinformatics2017，15，3： | 71 |
| 7 | A Brief Review on the Mechanisms of miRNA Regulation显示文摘MicroRNAs (miRNAs) are a class of short,endogenously-initiated non-coding RNAs that post-transcriptionally control gene expression via either translational repression or mRNA degradation.It is becoming evident that miRNAs are playing significant roles in regulatory mechanisms operating in various organisms,including developmental timing and host-pathogen interactions as well as cell differentiation,proliferation,apoptosis and tumorigenesis.Likewise,as a regulatory element,miRNA itself is coordinatively modulated by multifarious effectors when carrying out basic functions,such as SNP,miRNA editing,methylation and circadian clock.This mini-review summarized the current understanding of interactions between miRNAs and their targets,including recent advancements in deciphering the regulatory mechanisms that control the biogenesis and functionality of miRNAs in various cellular processes. | Yimei Cai Xiaomin Yu Songnian Hu Jun Yu | 2009 | Genomics, Proteomics & Bioinformatics2009，7，4： | 55 |
| 8 | Oxford Nanopore MinION Sequencing and Genome Assembly显示文摘The revolution of genome sequencing is continuing after the successful secondgeneration sequencing(SGS) technology. The third-generation sequencing(TGS) technology, led by Pacific Biosciences(Pac Bio), is progressing rapidly, moving from a technology once only capable of providing data for small genome analysis, or for performing targeted screening, to one that promises high quality de novo assembly and structural variation detection for human-sized genomes. In 2014, the Min ION, the first commercial sequencer using nanopore technology, was released by Oxford Nanopore Technologies(ONT). Min ION identifies DNA bases by measuring the changes in electrical conductivity generated as DNA strands pass through a biological pore. Its portability,affordability, and speed in data production makes it suitable for real-time applications, the release of the long read sequencer Min ION has thus generated much excitement and interest in the genomics community. While de novo genome assemblies can be cheaply produced from SGS data, assembly continuity is often relatively poor, due to the limited ability of short reads to handle long repeats. Assembly quality can be greatly improved by using TGS long reads, since repetitive regions can be easily expanded into using longer sequencing lengths, despite having higher error rates at the base level. The potential of nanopore sequencing has been demonstrated by various studies in genome surveillance at locations where rapid and reliable sequencing is needed, but where resources are limited. | Hengyun Lu Francesca Giordano Zemin Ning | 2016 | Genomics, Proteomics & Bioinformatics2016，14，5： | 41 |
| 9 | Human Gut Microbiota and Gastrointestinal Cancer显示文摘Human gut microbiota play an essential role in both healthy and diseased states of humans.In the past decade,the interactions between microorganisms and tumors have attracted much attention in the efforts to understand various features of the complex microbial communities,as well as the possible mechanisms through which the microbiota are involved in cancer prevention,carcinogenesis,and anti-cancer therapy.A large number of studies have indicated that microbial dysbiosis contributes to cancer susceptibility via multiple pathways.Further studies have suggested that the microbiota and their associated metabolites are not only closely related to carcinogenesis by inducing in?ammation and immune dysregulation,which lead to genetic instability,but also interfere with the pharmacodynamics of anticancer agents.In this article,we mainly reviewed the in?uence of gut microbiota on cancers in the gastrointestinal(GI)tract(including esophageal,gastric,colorectal,liver,and pancreatic cancers)and the regulation of microbiota by diet,prebiotics,probiotics,synbiotics,antibiotics,or the Traditional Chinese Medicine.We also proposed some new strategies in the prevention and treatment of GI cancers that could be explored in the future.We hope that this review could provide a comprehensive overview of the studies on the interactions between the gut microbiota and GI cancers,which are likely to yield translational opportunities to reduce cancer morbidity and mortality by improving prevention,diagnosis,and treatment. | Changting Meng Chunmei Bai Thomas D. Brown Leroy E. Hood Qiang Tian | 2018 | Genomics, Proteomics & Bioinformatics2018，16，1： | 43 |
| 10 | N^6 -methyl-adenosine (m^6 A) in RNA: An Old Modification with A Novel Epigenetic Function显示文摘N6 -methyl-adenosine (m6A) is one of the most common and abundant modifications on RNA molecules present in eukaryotes. However, the biological significance of m6A methylation remains largely unknown. Several independent lines of evidence suggest that the dynamic regulation of m6A may have a profound impact on gene expression regulation. The m6A modification is catalyzed by an unidentified methyltransferase complex containing at least one subunit methyltransferase like 3 (METTL3). m6A modification on messenger RNAs (mRNAs) mainly occurs in the exonic regions and 3'-untranslated region (3'-UTR) as revealed by high-throughput m6A-seq. One significant advance in m6A research is the recent discovery of the first two m6A RNA demethylases fat mass and obesity-associated (FTO) gene and ALKBH5, which catalyze m6A demethylation in an a-ketoglutarate (a-KG)-and Fe2+-dependent manner. Recent studies in model organisms demonstrate that METTL3, FTO and ALKBH5 play important roles in many biological processes, ranging from development and metabolism to fertility. Moreover, perturbation of activities of these enzymes leads to the disturbed expression of thousands of genes at the cellular level, implicating a regulatory role of m6A in RNA metabolism. Given the vital roles of DNA and histone methylations in epigenetic regulation of basic life processes in mammals, the dynamic and reversible chemical m6A modification on RNA may also serve as a novel epigenetic marker of profound biological significances. | Yamei Niu Xu Zhao Yong-Sheng Wu Ming-Ming Li Xiu-Jie Wang Yun-Gui Yang | 2013 | Genomics, Proteomics & Bioinformatics2013，11，1： | 40 |
| 11 | The Genome Sequence Archive Family: Toward Explosive Data Growth and Diverse Data Types显示文摘The Genome Sequence Archive(GSA)is a data repository for archiving raw sequence data,which provides data storage and sharing services for worldwide scientific communities.Considering explosive data growth with diverse data types,here we present the GSA family by expanding into a set of resources for raw data archive with different purposes,namely,GSA(http://gffzz77e3413bc06540eds09vuux6cfkvo6wo5.ffgz.tsg.suse.edu.cn/gsa/),GSA for Human(GSA-Human,http://gffzz77e3413bc06540eds09vuux6cfkvo6wo5.ffgz.tsg.suse.edu.cn/gsa-human/),and Open Archive for Miscellaneous Data(OMIX,http://gffzz77e3413bc06540eds09vuux6cfkvo6wo5.ffgz.tsg.suse.edu.cn/omix/).Compared with the 2017 version,GSA has been significantly updated in data model,online functionalities,and web interfaces.GSA-Human,as a new partner of GSA,is a data repository specialized in human genetics-related data with controlled access and security.OMIX,as a critical complement to the two resources mentioned above,is an open archive for miscellaneous data.Together,all these resources form a family of resources dedicated to archiving explosive data with diverse types,accepting data submissions from all over the world,and providing free open access to all publicly available data in support of worldwide research activities. | Tingting Chen Xu Chen Sisi Zhang Junwei Zhu Bixia Tang Anke Wang Lili Dong Zhewen Zhang Caixia Yu Yanling Sun Lianjiang Chi Huanxin Chen Shuang Zhai Yubin Sun Li Lan Xin Zhang Jingfa Xiao Yiming Bao Yanqing Wang Zhang Zhang Wenming Zhao | 2021 | Genomics, Proteomics & Bioinformatics2021，19，4： | 38 |
| 12 | YTH Domain: A Family of N^6-methyladenosine (m^6A) Readers显示文摘Like protein and DNA, different types of RNA molecules undergo various modifications. Accumulating evidence suggests that these RNA modifications serve as sophisticated codes to mediate RNA behaviors and many important biological functions. N^6-methyladenosine(m^6 A)is the most abundant internal RNA modification found in a variety of eukaryotic RNAs, including but not limited to m RNAs, t RNAs, r RNAs, and long non-coding RNAs(lnc RNAs). In mammalian cells, m^6 A can be incorporated by a methyltransferase complex and removed by demethylases, which ensures that the m^6 A modification is reversible and dynamic. Moreover, m^6 A is recognized by the YT521-B homology(YTH) domain-containing proteins, which subsequently direct different complexes to regulate RNA signaling pathways, such as RNA metabolism, RNA splicing, RNA folding, and protein translation. Herein, we summarize the recent progresses made in understanding the molecular mechanisms underlying the m^6 A recognition by YTH domaincontaining proteins, which would shed new light on m^6 A-specific recognition and provide clues to the future identification of reader proteins of many other RNA modifications. | Shanhui Liao Hongbin Sun Chao Xu | 2018 | Genomics, Proteomics & Bioinformatics2018，16，2： | 29 |
| 13 | Antidiabetic Effects of Gegen Qinlian Decoction via the Gut Microbiota Are Attributable to Its Key Ingredient Berberine显示文摘Gegen Qinlian Decoction(GQD),a traditional Chinese medicine(TCM)formula,has long been used for the treatment of common metabolic diseases,including type 2 diabetes mellitus.However,the main limitation of its wider application is ingredient complexity of this formula.Thus,it is critically important to identify the major active ingredients of GQD and to illustrate mechanisms underlying its action.Here,we compared the effects of GQD and berberine,a hypothetical key active pharmaceutical ingredient of GQD,on a diabetic rat model by comprehensive analyses of gut microbiota,short-chain fatty acids,proinflammatory cytokines,and ileum transcriptomics.Our results show that berberine and GQD had similar effects on lowering blood glucose levels,modulating gut microbiota,inducing ileal gene expression,as well as relieving systemic and local inflammation.As expected,both berberine and GQD treatment significantly altered the overall gut microbiota structure and enriched many butyrate-producing bacteria,including Faecalibacterium and Roseburia,thereby attenuating intestinal inflammation and lowering glucose.Levels of short-chain fatty acids in rat feces were also significantly elevated after treatment with berberine or GQD.Moreover,concentration of serum proinflammatory cytokines and expression of immune-related genes,including Nfkb1,Stat1,and Ifnrg1,in pancreatic islets were significantly reduced after treatment.Our study demonstrates that the main effects of GQD can be attributed to berberine via modulating gut microbiota.The strategy employed would facilitate further standardization and widespread application of TCM in many diseases. | Xizhan Xu Zezheng Gao Fuquan Yang Yingying Yang Liang Chen Lin Han Na Zhao Jiayue Xu Xinmiao Wang Yue Ma Lian Shu Xiaoxi Hu Na Lyu Yuanlong Pan Baoli Zhu Linhua Zhao Xiaolin Tong Jun Wang | 2020 | Genomics, Proteomics & Bioinformatics2020，18，6： | 29 |
| 14 | A Mitochondrial Genome Sequence of the Tibetan Antelope(Pantholops hodgsonii)显示文摘To investigate genetic mechanisms of high altitude adaptations of native mammalson the Tibetan Plateau, we compared mitochondrial sequences of the endangeredPantholops hodgsonii with its lowland distant relatives Ovis aries and Capra hir-cus, as well as other mammals. The complete mitochondrial genome of P. hodgsonii(16,498 bp) revealed a similar gene order as of other mammals. Because of tandemduplications, the control region of P. hodgsonii mitochondrial genome is shorterthan those of O. aries and C. hircus, but longer than those of Bos species. Phy-logenetic analysis based on alignments of the entire cytochrome b genes suggestedthat P. hodgsonii is more closely related to O. aries and C. hircus, rather than tospecies of the Antilopinae subfamily. The estimated divergence time between P.hodgsonii and O. aries is about 2.25 million years ago. Further analysis on natu-ral selection indicated that the COXI (cytochrome c oxidase subunit I) gene wasunder positive selection in P. hodgsonii and Bos grunniens. Considering the sameclimates and environments shared by these two mammalian species, we proposedthat the mitochondrial COXI gene is probably relevant for these native mammalsto adapt the high altitude environment unique to the Tibetan Plateau. | Shu-Qing Xu Ying-Zhong Yang Jun Zhou Guo-En Jing Yun-Tian Chen Jun Wang Huan-Ming Yang Jian Wang Jun Wu Xiao-Guang Zheng and Ri-Li Ge | 2005 | Genomics, Proteomics & Bioinformatics2005，3，1： | 22 |
| 15 | Deep Learning and Its Applications in Biomedicine显示文摘Advances in biological and medical technologies have been providing us explosive volumes of biological and physiological data,such as medical images,electroencephalography,genomic and protein sequences.Learning from these data facilitates the understanding of human health and disease.Developed from arti?cial neural networks,deep learning-based algorithms show great promise in extracting features and learning patterns from complex data.The aim of this paper is to provide an overview of deep learning techniques and some of the state-of-the-art applications in the biomedical?eld.We?rst introduce the development of arti?cial neural network and deep learning.We then describe two main components of deep learning,i.e.,deep learning architectures and model optimization.Subsequently,some examples are demonstrated for deep learningapplications,including medical image classi?cation,genomic sequence analysis,as well as protein structure classi?cation and prediction.Finally,we offer our perspectives for the future directions in the?eld of deep learning. | Chensi Cao Feng Liu Hai Tan Deshou Song Wenjie Shu Weizhong Li Yiming Zhou Xiaochen Bo Zhi Xie | 2018 | Genomics, Proteomics & Bioinformatics2018，16，1： | 22 |
| 16 | Long Non-coding RNAs in the Cytoplasm显示文摘An enormous amount of long non-coding RNAs(lnc RNAs) transcribed from eukaryotic genome are important regulators in different aspects of cellular events. Cytoplasm is the residence and the site of action for many lncRNAs. The cytoplasmic lncRNAs play indispensable roles with multiple molecular mechanisms in animal and human cells. In this review, we mainly talk about functions and the underlying mechanisms of lncRNAs in the cytoplasm. We highlight relatively well-studied examples of cytoplasmic lncRNAs for their roles in modulating mRNA stability,regulating m RNA translation, serving as competing endogenous RNAs, functioning as precursors of microRNAs, and mediating protein modifications. We also elaborate the perspectives of cytoplasmic lncRNA studies. | Farooq Rashid Abdullah Shah Ge Shan | 2016 | Genomics, Proteomics & Bioinformatics2016，14，2： | 21 |
| 17 | Long Non-coding RNAs and Their Roles in Non-small-cell Lung Cancer显示文摘As a leading cause of cancer deaths worldwide, lung cancer is a collection of diseases with diverse etiologies which can be broadly classified into small-cell lung cancer(SCLC) and non-small-cell lung cancer(NSCLC). Lung cancer is characterized by genomic and epigenomic alterations; however, mechanisms underlying lung tumorigenesis remain to be elucidated. Long noncoding RNAs(lnc RNAs) are a group of non-coding RNAs that consist of P200 nucleotides but possess low or no protein-coding potential. Accumulating evidence indicates that abnormal expression of lnc RNAs is associated with tumorigenesis of various cancers, including lung cancer, through multiple biological mechanisms involving epigenetic, transcriptional, and post-transcriptional alterations. In this review, we highlight the expression and roles of lnc RNAs in NSCLC and discuss their potential clinical applications as diagnostic or prognostic biomarkers, as well as therapeutic targets. | Ming-Ming Wei Guang-Biao Zhou | 2016 | Genomics, Proteomics & Bioinformatics2016，14，5： | 20 |
| 18 | The RNA Modification N^6-methyladenosine and Its Implications in Human Disease显示文摘Impaired gene regulation lies at the heart of many disorders,including developmental diseases and cancer.Furthermore,the molecular pathways that control gene expression are often the target of cellular parasites,such as viruses.Gene expression is controlled through multiple mechanisms that are coordinated to ensure the proper and timely expression of each gene.Many of these mechanisms target the life cycle of the RNA molecule,from transcription to translation.Recently,another layer of regulation at the RNA level involving RNA modifications has gained renewed interest of the scientific community.The discovery that N^6-methyladenosine(m^6A),a modification present in m RNAs and long noncoding RNAs,can be removed by the activity of RNA demethylases,launched the field of epitranscriptomics;the study of how RNA function is regulated through the addition or removal of post-transcriptional modifications,similar to strategies used to regulate gene expression at the DNA and protein level.The abundance of RNA post-transcriptional modifications is determined by the activity of writer complexes(methylase) and eraser(RNA demethylase) proteins.Subsequently,the effects of RNA modifications materialize as changes in RNA structure and/or modulation of interactions between the modified RNA and RNA binding proteins or regulatory RNAs.Disruption of these pathways impairs gene expression and cellular function.This review focuses on the links between the RNA modification m^6A and its implications in human diseases. | Pedro J.Batista | 2017 | Genomics, Proteomics & Bioinformatics2017，15，3： | 17 |
| 19 | Proteomics Technologies and Challenges显示文摘Proteomics is the study of proteins and their interactions in a cell. With the completion of the Human Genome Project, the emphasis is shifting to the protein compliment of the human organism. Because proteome reflects more accurately on the dynamic state of a cell, tissue, or organism, much is expected from proteomics to yield better disease markers for diagnosis and therapy monitoring. The advent of proteomics technologies for global detection and quantitation of proteins creates new opportunities and challenges for those seeking to gain greater understanding of diseases. High-throughput proteomics technologies combining with advanced bioinformatics are extensively used to identify molecular signatures of diseases based on protein pathways and signaling cascades. Mass spectrometry plays a vital role in proteomics and has become an indispensable tool for molecular and cellular biology. While the potential is great, many challenges and issues remain to be solved, such as mining low abundant proteins and integration of proteomics with genomics and metabolomics data. Nevertheless, proteomics is the foundation for constructing and extracting useful knowledge to biomedical research. In this review, a snapshot of contemporary issues in proteomics technologies is discussed. | William C.S. Cho | 2007 | Genomics, Proteomics & Bioinformatics2007，5，2： | 17 |
| 20 | Intestinal Microbiota in Early Life and Its Implications on Childhood Health显示文摘Trillions of microbes reside in the human body and participate in multiple physiological and pathophysiological processes that affect host health throughout the life cycle. The microbiome is hallmarked by distinctive compositional and functional features across different life periods.Accumulating evidence has shown that microbes residing in the human body may play fundamental roles in infant development and the maturation of the immune system. Gut microbes are thought to be essential for the facilitation of infantile and childhood development and immunity by assisting in breaking down food substances to liberate nutrients, protecting against pathogens, stimulating or modulating the immune system, and exerting control over the hypothalamic–pituitary–adrenal axis.This review aims to summarize the current understanding of the colonization and development of the gut microbiota in early life, highlighting the recent findings regarding the role of intestinal microbes in pediatric diseases. Furthermore, we also discuss the microbiota-mediated therapeutics that can reconfigure bacterial communities to treat dysbiosis. | Lu Zhuang Haihua Chen Sheng Zhang Jiahui Zhuang Qiuping Li Zhichun Feng | 2019 | Genomics, Proteomics & Bioinformatics2019，17，1： | 16 |
您所在的机构暂未开通此部分的功能，请联系管理员