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| 1 | Assessing the host genetic background effects on type 2 diabetes and obesity development in response to mixed–oral bacteria and high-fat diet using the collaborative cross mouse model显示文摘Background: Host genetic background and sex, play central roles in defining the pathogenesis of type 2 diabetes(T2 D), obesity and infectious diseases. Our previous studies demonstrated the utilization of genetically highly diverse inbred mouse lines, namely collaborative cross(CC), for dissecting host susceptibility for the development of T2 D and obesity, showing significant variations following high-fat(42% fat) diet(HFD). Here, we aimed to assessing the host genetic background and sex effects on T2 D and obesity development in response to oral-mixed bacterial infection and HFD using the CC lines.Materials and Methods: Study cohort consists of 97 mice from 2 CC lines(both sexes), maintained on either HFD or Standard diet(CHD) for 12 weeks. At week 5 a group of mice from each diet were infected with Porphyromonas gingivalis(Pg) and Fusobacterium nucleatum(Fn) bacteria(control groups without infection). Body weight(BW) and glucose tolerance ability were assessed at the end time point of the experiment.Results: The CC lines varied(P <.05) at their BW gain and glucose tolerance ability(with sex effect) in response to diets and/or infection, showing opposite responses despite sharing the same environmental conditions. The combination of diet and infection enhances BW accumulation for IL1912, while restraints it for IL72. As for glucose tolerance ability, only females(both lines) were deteriorated in response to infection.Conclusions: This study emphasizes the power of the CC mouse population for the characterization of host genetic makeup for defining the susceptibility of the individual to development of obesity and/or impaired glucose tolerance. | Luna Karkar Hanifa JAbu-Toamih Atamni Asal Milhem Yael Houri-Haddad Fuad A.Iraqi | 2020 | Animal Models and Experimental Medicine2020，3，2： | 5 |
| 2 | Mapping novel genetic loci associated with female liver weight variations using Collaborative Cross mice显示文摘Background: Liver weight is a complex trait, controlled by polygenic factors and differs within populations. Dissecting the genetic architecture underlying these variations will facilitate the search for key role candidate genes involved directly in the hepatomegaly process and indirectly involved in related diseases etiology.Methods: Liver weight of 506 mice generated from 39 different Collaborative Cross(CC) lines with both sexes at age 20 weeks old was determined using an electronic balance. Genomic DNA of the CC lines was genotyped with high-density single nucleotide polymorphic markers.Results: Statistical analysis revealed a significant(P < 0.05) variation of liver weight between the CC lines, with broad sense heritability(H^2) of 0.32 and genetic coefficient of variation(CV_G) of 0.28. Subsequently, quantitative trait locus(QTL) mapping was performed, and results showed a significant QTL only for females on chromosome 8 at genomic interval 88.61-93.38 Mb(4.77 Mb). Three suggestive QTL were mapped at chromosomes 4, 12 and 13. The four QTL were designated as LWL1-LWL4 referring to liver weight loci 1-4 on chromosomes 8, 4, 12 and 13,respectively.Conclusion: To our knowledge, this report presents, for the first time, the utilization of the CC for mapping QTL associated with baseline liver weight in mice. Our findings demonstrate that liver weight is a complex trait controlled by multiple genetic factors that differ significantly between sexes. | Hanifa J.Abu-Toamih Atamni Maya Botzman Richard Mott Irit Gat-Viks Fuad A.Iraqi | 2018 | Animal Models and Experimental Medicine2018，1，3： | 3 |
| 3 | Direct imaging of the tip shape by AFM 显示文摘 | ATAMNY F BALKER A | 1995 | Surface Science Letters1995，323，： | 1 |
| 4 | 显示文摘 | Atamny F Gobel U Baiker A | 1996 | Appl Surf Sci1996，99，： | 1 |
| 5 | Direct Imaging of the Tip Shape by AFM 显示文摘 | ATAMNY F BAIKER A | 1995 | Surface Science1995，323，3： | 1 |
| 6 | The Collaborative Cross mouse genetic reference population designed for dissecting complex traits显示文摘Complex traits are multifactorial traits controlled by polygenic host factors.These trait-related phenotypic characteristics and performance including body weight,blood chemistry,immune cell profiles,as well host susceptibility to infectious and chronic diseases.In recent years,tremendous efforts were invested aiming to map the host genetic factors attribute to these traits and subsequently clone the gene/s underlying these loci.In parallel to human studies,a number of mouse models and approaches were developed aimed to enhance the mapping process and the gene cloning.These include of using resources such as F2,backcross,advanced intercross lines,outbred populations,consomic,congenic and recombinant inbred lines(RIL).The constraints of these approaches were the limited resolution mapping of genomic regions of the quantitative trait loci(QTL)associated with the trait of interests,and the limited genetic diversity observed in the parental founders.To overcome these limitations,a new genetically highly diverse recombinant inbred lines of mouse population was established,namely the Collaborative Cross(CC),created from full reciprocal mating of 8 divergent strains of mice:A/J,C57BL/6J,129S1/SvI mJ,NOD/LtJ,NZO/HiL tJ,CAST/Ei,PWK/PhJ,and WSB/EiJ.By intercrossing these eight founders to generate the different CC lines,the genetic makeup of the newly developed resource is completely different from the eight parental lines,and will show heterosis,which subsequently will response differently comparing with their original founders.Finally,our results suggest that it is not essential to defining the phenotypic response of the eight parental lines,prior of assessing the CC lines,because it is believed that genetic interaction of the new genetic makeup of the new lines will reveal new phenotypic response,which completely different from the parental lines.In this report,we present to the community the power of the CC for dissecting variety of complex traits including host susceptibility to infectious and chronic diseases as well body performance traits.Based on our results from a variety of studies,we recommend to the community,that the best strategy of using this population is to aim of phenotyping about 50 and more of CC lines,with limited number of biological replicates(3-4 mice per line),and subsequently using the publicly available high dense genotype information of the CC lines as well the sequence database of the eight founders,it will be possible performing QTL mapping to a unprecedented precision genomic regions less than 1 MB,subsequently lead to identify potential strong candidate genes.These achievements are believed cannot be obtained with any other currently available mouse resource populations. | Hanifa Abu Toamih Atamni Mahmoud Egbaria Yaser Salaymeh Aysar Nashif Fuad A.Iraqi | 2016 | 中国比较医学杂志2016，26，8： | 1 |
| 7 | High-fat-diet induced development of increased fasting glucose levels and impaired response to intraperitoneal glucose challenge in the collaborative cross mouse genetic reference population 显示文摘 | Atamni HJ Mort R Soller M | 2016 | BMC Genet2016，17，： | 1 |
| 8 | Thin films engineering of indium tin oxide: Large area flat panel displays application显示文摘 | U. Betz M. Kharrazi Olsson J. Marthy M.F. Escolá F. Atamny | 2005 | Surface & Coatings Technology2005，，20： | 1 |
| 9 | Growth of iridium by metal organic chemical vapor deposition 显示文摘 | Halg W J Atamny F | 1993 | Thin Solid Films1993，241，： | 1 |
| 10 | Growth of iridium by metal-organic chemical vapor deposition 显示文摘 | Gerfin T Halg W J Atamny F Dahmen K | 1993 | Thin Solid films1993，241，： | 1 |
| 11 | Investigation of carbon-based catalysts by scanning tunneling microscopy:Opportunities and limitations显示文摘 | Atamny F Baiker A | 1998 | Applied Catalysis A:General1998，173，： | 1 |
| 12 | 利用复杂性状遗传CC小鼠资源群体剖析复杂性状机理显示文摘复杂性状是由多基因控制的多因素疾病性状。包括体重、血液化学、免疫细胞以及宿主对传染病和慢性病的易感性等。近年来,人们投入了大量的资金和精力来研究这些性状产生的宿主遗传因素。由于多种因素的限制,这些复杂疾病的研究很难在人类上直接开展。而由于鼠科与人类间存在大量的同源基因,使得在鼠模型中所筛选到的相关数量性状基因座位(QTL)及候选基因适用于人类复杂疾病的研究。 | Hanifa Abu Toamih Atamni Mahmoud Egbaria Yaser Salaymeh Aysar Nashif Fuad A.Iraqi 吴宪文(译) | 2016 | 中国比较医学杂志2016，26，9： | 0 |
| 13 | Efficient protocols and methods for high-throughput utilization of the Collaborative Cross mouse model for dissecting the genetic basis of complex traits显示文摘The Collaborative Cross(CC)mouse model is a next‐generation mouse genetic reference population(GRP)designated for a high‐resolution quantitative trait loci(QTL)mapping of complex traits during health and disease.The CC lines were generated from reciprocal crosses of eight divergent mouse founder strains composed of five classical and three wild‐derived strains.Complex traits are defined to be controlled by variations within multiple genes and the gene/environment interactions.In this article,we introduce and present variety of protocols and results of studying the host response to infectious and chronic diseases,including type 2 diabetes and metabolic diseases,body composition,immune response,colorectal cancer,susceptibility to Aspergillus fumigatus,Klebsiella pneumoniae,Pseudomonas aeruginosa,sepsis,and mixed infections of Porphyromonas gingivalis and Fusobacterium nucleatum,which were conducted at our laboratory using the CC mouse population.These traits are observed at multiple levels of the body systems,including metabolism,body weight,immune profile,susceptibility or resistance to the development and progress of infectious or chronic diseases.Herein,we present full protocols and step‐by‐step methods,implemented in our laboratory for the phenotypic and genotypic characterization of the different CC lines,mapping the gene underlying the host response to these infections and chronic diseases.The CC mouse model is a unique and powerful GRP for dissecting the host genetic architectures underlying complex traits,including chronic and infectious diseases. | Hanifa J.Abu-Toamih Atamni Fuad A.Iraqi | 2019 | Animal Models and Experimental Medicine2019，2，3： | 0 |
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