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  • 1
    Publication Date: 2011-10-08
    Description: The exchange of the oocyte's genome with the genome of a somatic cell, followed by the derivation of pluripotent stem cells, could enable the generation of specific cells affected in degenerative human diseases. Such cells, carrying the patient's genome, might be useful for cell replacement. Here we report that the development of human oocytes after genome exchange arrests at late cleavage stages in association with transcriptional abnormalities. In contrast, if the oocyte genome is not removed and the somatic cell genome is merely added, the resultant triploid cells develop to the blastocyst stage. Stem cell lines derived from these blastocysts differentiate into cell types of all three germ layers, and a pluripotent gene expression program is established on the genome derived from the somatic cell. This result demonstrates the feasibility of reprogramming human cells using oocytes and identifies removal of the oocyte genome as the primary cause of developmental failure after genome exchange.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Noggle, Scott -- Fung, Ho-Lim -- Gore, Athurva -- Martinez, Hector -- Satriani, Kathleen Crumm -- Prosser, Robert -- Oum, Kiboong -- Paull, Daniel -- Druckenmiller, Sarah -- Freeby, Matthew -- Greenberg, Ellen -- Zhang, Kun -- Goland, Robin -- Sauer, Mark V -- Leibel, Rudolph L -- Egli, Dieter -- England -- Nature. 2011 Oct 5;478(7367):70-5. doi: 10.1038/nature10397.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉The New York Stem Cell Foundation Laboratory, New York, New York, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21979046" target="_blank"〉PubMed〈/a〉
    Keywords: Adult ; Blastocyst/cytology/metabolism ; Cell Differentiation ; *Cellular Reprogramming ; DNA Methylation ; Epigenesis, Genetic ; Female ; Gene Expression Profiling ; Gene Expression Regulation, Developmental ; Genome, Human/genetics ; Germ Layers/cytology/embryology/metabolism ; Humans ; Induced Pluripotent Stem Cells/*cytology/*metabolism ; Oocyte Donation ; Oocytes/*cytology/growth & development/*physiology ; Primary Cell Culture ; Transcription, Genetic ; Triploidy ; Young Adult
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2012-12-18
    Description: Improved sequencing technologies offer unprecedented opportunities for investigating the role of rare genetic variation in common disease. However, there are considerable challenges with respect to study design, data analysis and replication. Using pooled next-generation sequencing of 507 genes implicated in the repair of DNA in 1,150 samples, an analytical strategy focused on protein-truncating variants (PTVs) and a large-scale sequencing case-control replication experiment in 13,642 individuals, here we show that rare PTVs in the p53-inducible protein phosphatase PPM1D are associated with predisposition to breast cancer and ovarian cancer. PPM1D PTV mutations were present in 25 out of 7,781 cases versus 1 out of 5,861 controls (P = 1.12 x 10(-5)), including 18 mutations in 6,912 individuals with breast cancer (P = 2.42 x 10(-4)) and 12 mutations in 1,121 individuals with ovarian cancer (P = 3.10 x 10(-9)). Notably, all of the identified PPM1D PTVs were mosaic in lymphocyte DNA and clustered within a 370-base-pair region in the final exon of the gene, carboxy-terminal to the phosphatase catalytic domain. Functional studies demonstrate that the mutations result in enhanced suppression of p53 in response to ionizing radiation exposure, suggesting that the mutant alleles encode hyperactive PPM1D isoforms. Thus, although the mutations cause premature protein truncation, they do not result in the simple loss-of-function effect typically associated with this class of variant, but instead probably have a gain-of-function effect. Our results have implications for the detection and management of breast and ovarian cancer risk. More generally, these data provide new insights into the role of rare and of mosaic genetic variants in common conditions, and the use of sequencing in their identification.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3759028/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3759028/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Ruark, Elise -- Snape, Katie -- Humburg, Peter -- Loveday, Chey -- Bajrami, Ilirjana -- Brough, Rachel -- Rodrigues, Daniel Nava -- Renwick, Anthony -- Seal, Sheila -- Ramsay, Emma -- Duarte, Silvana Del Vecchio -- Rivas, Manuel A -- Warren-Perry, Margaret -- Zachariou, Anna -- Campion-Flora, Adriana -- Hanks, Sandra -- Murray, Anne -- Ansari Pour, Naser -- Douglas, Jenny -- Gregory, Lorna -- Rimmer, Andrew -- Walker, Neil M -- Yang, Tsun-Po -- Adlard, Julian W -- Barwell, Julian -- Berg, Jonathan -- Brady, Angela F -- Brewer, Carole -- Brice, Glen -- Chapman, Cyril -- Cook, Jackie -- Davidson, Rosemarie -- Donaldson, Alan -- Douglas, Fiona -- Eccles, Diana -- Evans, D Gareth -- Greenhalgh, Lynn -- Henderson, Alex -- Izatt, Louise -- Kumar, Ajith -- Lalloo, Fiona -- Miedzybrodzka, Zosia -- Morrison, Patrick J -- Paterson, Joan -- Porteous, Mary -- Rogers, Mark T -- Shanley, Susan -- Walker, Lisa -- Gore, Martin -- Houlston, Richard -- Brown, Matthew A -- Caufield, Mark J -- Deloukas, Panagiotis -- McCarthy, Mark I -- Todd, John A -- Breast and Ovarian Cancer Susceptibility Collaboration -- Wellcome Trust Case Control Consortium -- Turnbull, Clare -- Reis-Filho, Jorge S -- Ashworth, Alan -- Antoniou, Antonis C -- Lord, Christopher J -- Donnelly, Peter -- Rahman, Nazneen -- 068545/Z/02/Wellcome Trust/United Kingdom -- 083948/Wellcome Trust/United Kingdom -- 090532/Wellcome Trust/United Kingdom -- 090532/Z/09/Z/Wellcome Trust/United Kingdom -- 091157/Wellcome Trust/United Kingdom -- 095552/Wellcome Trust/United Kingdom -- 098051/Wellcome Trust/United Kingdom -- 100140/Wellcome Trust/United Kingdom -- 11174/Cancer Research UK/United Kingdom -- C12292/A11174/Cancer Research UK/United Kingdom -- CZB/4/540/Chief Scientist Office/United Kingdom -- ETM/137/Chief Scientist Office/United Kingdom -- ETM/75/Chief Scientist Office/United Kingdom -- G0000934/Medical Research Council/United Kingdom -- G0600329/Medical Research Council/United Kingdom -- G0800759/Medical Research Council/United Kingdom -- G0900747 91070/Medical Research Council/United Kingdom -- G9521010/Medical Research Council/United Kingdom -- MR/K006584/1/Medical Research Council/United Kingdom -- England -- Nature. 2013 Jan 17;493(7432):406-10. doi: 10.1038/nature11725. Epub 2012 Dec 16.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Division of Genetics & Epidemiology, The Institute of Cancer Research, Sutton SM2 5NG, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23242139" target="_blank"〉PubMed〈/a〉
    Keywords: Alleles ; Breast Neoplasms/*genetics ; Cluster Analysis ; Exons ; Female ; Genetic Predisposition to Disease/*genetics ; Humans ; Isoenzymes/genetics ; Lymphocytes/metabolism ; *Mosaicism ; *Mutation ; Ovarian Neoplasms/*genetics ; Phosphoprotein Phosphatases/*genetics ; Sequence Analysis, DNA ; Tumor Suppressor Protein p53/metabolism
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 3
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    Nature Publishing Group (NPG)
    Publication Date: 2013-09-13
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Gore, Andrea C -- England -- Nature. 2013 Sep 12;501(7466):167. doi: 10.1038/501167e.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24025828" target="_blank"〉PubMed〈/a〉
    Keywords: Biomedical Research/*methods ; Female ; Humans ; Male ; *Research Design ; *Sex Characteristics ; *Single-Cell Analysis
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 4
    Publication Date: 2019-07-27
    Description: Poster: The workload research project has as its task to survey the available literature on: (1) workload measurement techniques; and (2) the effects of workload on operator performance. The first set of findings provides practitioners with a collection of simple-to-use workload measurement techniques along with characterizations of the kinds of tasks each technique has been shown reliably address. This allows design practitioners to select and use the most appropriate techniques for the task(s) at hand. The second set of findings provides practitioners with the guidance they need to design for appropriate kinds and amounts of workload across all tasks for which the operator is responsible. This guidance helps practitioners design systems and procedures that ensure appropriate levels of engagement across all tasks, and avoid designs and procedures that result in operator boredom, complacency, loss of awareness, undue levels of stress, or skill atrophy that can result from workload that distracts operators from the tasks they perform and monitor, workload levels that are too low, too high, or too consistent or predictable. Only those articles that were peer reviewed, long standing and generally accepted in the field, and applicable to a relevant range of conditions in a select domain of interest, in analogous "extreme" environments to those in space were included. In addition, all articles were reviewed and evaluated on uni-dimensional and multi-dimensional considerations. Casner & Gore also examined the notion of thresholds and the conditions that may benefit mostly from the various methodological approaches. Other considerations included whether the tools would be suitable for guiding a requirement-related and design-related question. An initial review of over 225 articles was conducted and entered into an EndNote database. The reference list included a range of conditions in the domain of interest (subjective/objective measures), the seminal works in workload, as well as summary works
    Keywords: Behavioral Sciences
    Type: ARC-E-DAA-TN1218 , 2010 NASA Human Research Program Investigators''; 3-5 Feb. 20`0; Houston, TX; United States
    Format: application/pdf
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  • 5
    Publication Date: 2019-07-13
    Description: As automation and advanced technologies are introduced into transport systems ranging from the Next Generation Air Transportation System termed NextGen, to the advanced surface transportation systems as exemplified by the Intelligent Transportations Systems, to future systems designed for space exploration, there is an increased need to validly predict how the future systems will be vulnerable to error given the demands imposed by the assistive technologies. One formalized approach to study the impact of assistive technologies on the human operator in a safe and non-obtrusive manner is through the use of human performance models (HPMs). HPMs play an integral role when complex human-system designs are proposed, developed, and tested. One HPM tool termed the Man-machine Integration Design and Analysis System (MIDAS) is a NASA Ames Research Center HPM software tool that has been applied to predict human-system performance in various domains since 1986. MIDAS is a dynamic, integrated HPM and simulation environment that facilitates the design, visualization, and computational evaluation of complex man-machine system concepts in simulated operational environments. The paper will discuss a range of aviation specific applications including an approach used to model human error for NASA s Aviation Safety Program, and what-if analyses to evaluate flight deck technologies for NextGen operations. This chapter will culminate by raising two challenges for the field of predictive HPMs for complex human-system designs that evaluate assistive technologies: that of (1) model transparency and (2) model validation.
    Keywords: Behavioral Sciences
    Type: ARC-E-DAA-TN1619 , HMAT 2010: 1st International Workshop on Human Modelling in Assisted Transportation 2010; Jun 30, 2010 - Jul 02, 2010; Belgirate; Italy
    Format: application/pdf
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