Bibliografias temáticas / Whole genome amplification

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Literatura científica selecionada sobre o tema "Whole genome amplification"

Autor: Grafiati

Publicado: 4 de junho de 2021

Última modificação: 9 de março de 2023

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Artigos de revistas sobre o assunto "Whole genome amplification"

Arneson, N., S. Hughes, R. Houlston e S. Done. "GenomePlex Whole-Genome Amplification". Cold Spring Harbor Protocols 2008, n.º 2 (1 de janeiro de 2008): pdb.prot4920. http://dx.doi.org/10.1101/pdb.prot4920.

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Li, Ying, Hyun-Jin Kim, Chunyang Zheng, Wing Huen A. Chow, Jeonghwa Lim, Brendan Keenan, Xiaojing Pan, Bertrand Lemieux e Huimin Kong. "Primase-based whole genome amplification". Nucleic Acids Research 36, n.º 13 (17 de junho de 2008): e79-e79. http://dx.doi.org/10.1093/nar/gkn377.

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Seong, Ji-Yeong, Young-Jun Ko, Hyeon-Koon Myeong e Se-Wook Oh. "Development of a Rapid Foodborne-pathogen-detection Method Involving Whole-genome Amplification". Korean Journal of Food Science and Technology 48, n.º 2 (30 de abril de 2016): 128–32. http://dx.doi.org/10.9721/kjfst.2016.48.2.128.

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Sun, Fengzhu, e Michael S. Waterman. "Whole Genome Amplification and Branching Processes". Advances in Applied Probability 29, n.º 3 (setembro de 1997): 629–68. http://dx.doi.org/10.2307/1428080.

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Whole genome amplification is important for multipoint mapping by sperm or oocyte typing and genetic disease diagnosis. Polymerase chain reaction is not suitable for amplifying long DNA sequences. This paper studies a new technique, designated PEP-primer-extension-preamplification, for amplifying long DNA sequences using the theory of branching processes. A mathematical model for PEP is constructed and a closed formula for the expected target yield is obtained. A central limit theorem and a strong law of large numbers for the number of kth generation target sequences are proved.

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Höckner, M., M. Erdel, A. Spreiz, G. Utermann e D. Kotzot. "Whole Genome Amplification from Microdissected Chromosomes". Cytogenetic and Genome Research 125, n.º 2 (2009): 98–102. http://dx.doi.org/10.1159/000227832.

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Hawkins, Trevor L., John C. Detter e Paul M. Richardson. "Whole genome amplification — applications and advances". Current Opinion in Biotechnology 13, n.º 1 (fevereiro de 2002): 65–67. http://dx.doi.org/10.1016/s0958-1669(02)00286-0.

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Sun, Fengzhu, e Michael S. Waterman. "Whole Genome Amplification and Branching Processes". Advances in Applied Probability 29, n.º 03 (setembro de 1997): 629–68. http://dx.doi.org/10.1017/s0001867800028287.

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Bassaganyas, Laia, George Freedman, Dedeepya Vaka, Eunice Wan, Richard Lao, Flavia Chen, Mark Kvale, Robert J. Currier, Jennifer M. Puck e Pui-Yan Kwok. "Whole exome and whole genome sequencing with dried blood spot DNA without whole genome amplification". Human Mutation 39, n.º 1 (6 de novembro de 2017): 167–71. http://dx.doi.org/10.1002/humu.23356.

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Zheng, Ying-ming, Ning Wang, Lei Li e Fan Jin. "Whole genome amplification in preimplantation genetic diagnosis". Journal of Zhejiang University SCIENCE B 12, n.º 1 (janeiro de 2011): 1–11. http://dx.doi.org/10.1631/jzus.b1000196.

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Burtt, N. P. "Whole-Genome Amplification Using 29 DNA Polymerase". Cold Spring Harbor Protocols 2011, n.º 1 (1 de janeiro de 2011): pdb.prot5552. http://dx.doi.org/10.1101/pdb.prot5552.

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Teses / dissertações sobre o assunto "Whole genome amplification"

Glentis, S. "Whole genome amplification for PGD and PND : molecular and a-CGH diagnosis". Thesis, University College London (University of London), 2009. http://discovery.ucl.ac.uk/18554/.

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Whole genome amplification amplifies the entire genome in a few hours from samples of minimal DNA quantities, even from single cells. This may have many applications, especially in prenatal diagnosis, PGD and PGS. The hypothesis for chapter 3 was: Can multiple displacement amplification (MDA) be used as a universal step prior to molecular analysis for PGD? WGA using MDA (Qiagen) was used on single cells in order to overcome the problem of limited DNA in PGD. MDA allows the diagnosis through haplotyping or a combination of direct and indirect mutation analysis. Different cell types, including buccal cells, lymphocytes, fibroblasts and blastomeres were examined. A modification on the cell lysis buffer was also tested in order to achieve more accurate results. PGD seems to benefit from MDA when multiple tests are performed for direct and indirect analysis. The modified lysis buffer (exclusion of DTT) produced better results than the other lysis buffers and buccal cells do not produce as accurate results as other cell types. The hypothesis was met as the amount of DNA produced by MDA can be used for direct and indirect testing and haplotyping. The hypothesis for chapter 4 was: Is it possible to accurately assess the chromosomes of a single cell by a-CGH? WGA was achieved by MDA and GenomePlex (Sigma) on single lymphocytes, fibroblasts and blastomeres prior to a-CGH analysis. The difficulty of this technique was the high background noise that was produced by WGA that makes interpretation difficult. Different lysis buffers, modifications of the WGA reaction and analysis software were examined for better results. A-CGH slides from different companies and institutions were used. The results showed that GenomePlex produced less background noise compared to MDA but the amplification efficiency of the technique was less reliable. The BlueGnome Cytochip arrays produced the best compared to arrays from any other companies or institutions. More experiments would be necessary to determine if the hypothesis was met as a number of chromosomal abnormalities detected were not always confirmed by other experiments. The hypothesis for chapter 5 was: Can aneuploidy be detected in coelomic fluid using a-CGH? The possibility of using WGA and a-CGH on coelomic fluid was tested as this could be used as an early form of prenatal diagnosis. Coelomic fluid was collected between the 5th and 11th week of pregnancy from women undergoing termination of pregnancy. MDA and GenomePlex were used to amplify the DNA prior to a-CGH analysis. Both genomic (high resolution) and constitutional (low resolution) arrays were tested. The results showed that aneuploidy can be detected by a-CGH. BlueGnome Cytochip slides produced the best results. A triploid sample was detected as normal. The hypothesis was met and even higher resolution could be achieved with the use of GenomePlex and BlueGnome Cytochip arrays. WGA may be very important for downstream genetic tests when the DNA is from very low quality and quantity. Further optimisation of the technique is needed in order to achieve similar results to those of good quality genomic DNA. Arrays from different companies or institutions may produce very different results. In conclusion, the results showed that WGA can benefit PGD and PND, and a-CGH gives great potential to PGS and coelomic fluid diagnosis.

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Jiang, Sheng. "Application of nested PCR, whole genome amplification and comparative genomic hybridisation for single cell genetic analysis". Thesis, University of Glasgow, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.366140.

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Anscombe, C. J. "Multiple displacement amplification and whole genome sequencing for the diagnosis of infectious diseases". Thesis, Queen Mary, University of London, 2016. http://qmro.qmul.ac.uk/xmlui/handle/123456789/18409.

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Next-generation sequencing technologies are revolutionising our ability to characterise and investigate infectious diseases. Utilising the power of high throughput sequencing, this study reports, the development of a sensitive, non-PCR based, unbiased amplification method, which allows the rapid and accurate sequencing of multiple microbial pathogens directly from clinical samples. The method employs Φ29 DNA polymerase, a highly efficient enzyme able to produce strand displacement during the polymerisation process with high fidelity. Problems with DNA secondary structure were overcome and the method optimised to produce sufficient DNA to sequence from a single bacterial cell in two hours. Evidence was also found that the enzyme requires at least six bases of single stranded DNA to initiate replication, and is not capable of amplification from nicks. Φ29 multiple displacement amplification was shown to be suitable for a range of GC contents and bacterial cell wall types as well as for viral pathogens. The method was shown to be able to provide relative quantification of mixed cells, and a method for quantification of viruses using a known standard was developed. To complement the novel molecular biology workflow, a data analysis pipeline was developed to allow pathogen identification and characterisation without prior knowledge of input. The use of de novo assemblies for annotation was shown to be equivalent to the use of polished reference genomes. Single cell Φ29 MDA samples had better assembly and annotation than non-amplification controls, a novel finding which, when combined with the very long DNA fragments produced, has interesting implications for a variety of analytical procedures. A sampling process was developed to allow isolation and amplification of pathogens directly from clinical samples, with good concordance shown between this method and traditional testing. The process was tested on a variety of modelled and real clinical samples showing good application to sterile site infections, particularly bacteraemia models. Within these samples multiple bacterial, viral and parasitic pathogens were identified, showing good application across multiple infection types. Emerging pathogens were identified including Onchocerca volvulus within a CSF sample, and Sneathia sanguinegens within an STI sample. Use of Φ29 MDA allows rapid and accurate amplification of whole pathogen genomes. When this is coupled with the sample processing developed here it is possible to detect the presence of pathogens in sterile sites with a sensitivity of a single genome copy.

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Borgström, Erik. "Technologies for Single Cell Genome Analysis". Doctoral thesis, KTH, Genteknologi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-181059.

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During the last decade high throughput DNA sequencing of single cells has evolved from an idea to one of the most high profile fields of research. Much of this development has been possible due to the dramatic reduction in costs for massively parallel sequencing. The four papers included in this thesis describe or evaluate technological advancements for high throughput DNA sequencing of single cells and single molecules. As the sequencing technologies improve, more samples are analyzed in parallel. In paper 1, an automated procedure for preparation of samples prior to massively parallel sequencing is presented. The method has been applied to several projects and further development by others has enabled even higher sample throughputs. Amplification of single cell genomes is a prerequisite for sequence analysis. Paper 2 evaluates four commercially available kits for whole genome amplification of single cells. The results show that coverage of the genome differs significantly among the protocols and as expected this has impact on the downstream analysis. In Paper 3, single cell genotyping by exome sequencing is used to confirm the presence of fat cells derived from donated bone marrow within the recipients’ fat tissue. Close to hundred single cells were exome sequenced and a subset was validated by whole genome sequencing. In the last paper, a new method for phasing (i.e. determining the physical connection of variant alleles) is presented. The method barcodes amplicons from single molecules in emulsion droplets. The barcodes can then be used to determine which variants were present on the same original DNA molecule. The method is applied to two variable regions in the bacterial 16S gene in a metagenomic sample. Thus, two of the papers (1 and 4) present development of new methods for increasing the throughput and information content of data from massively parallel sequencing. Paper 2 evaluates and compares currently available methods and in paper 3, a biological question is answered using some of these tools.

QC 20160127

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Dillon, Candace. "Assessment of pre-PCR whole genome amplification of single pollen grains using flowering dogwood (Cornus florida)". VCU Scholars Compass, 2009. http://scholarscompass.vcu.edu/etd/1865.

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Studies of gene flow in natural plant populations often focus on either historical or abiotic dispersal methods (e.g. wind, water, gravity), but there is little information available on contemporary, animal-mediated pollen dispersal patterns. Emerging molecular laboratory techniques allow unprecedented insights into spatial patterns of pollen-mediated gene flow. However, to date, technical challenges have limited their widespread application. The genome of a pollen grain can be amplified via whole genome amplification (WGA) prior to traditional amplification via polymerase chain reaction (PCR) to prevent the stochastic effects associated with low copy number amplification. Even still, WGA can suffer from low success rates or poor repeatability. The present study examined the extent to which WGA can be used to aid in understanding insect-mediated pollen flow in Cornus florida (flowering dogwood) within Virginia Commonwealth University’s Inger and Walter Rice Center for Environmental Life Sciences. Initial amplification of DNA isolated from frozen grains was successful, until the pollen had been stored longer than 120 days at -20ºC. After this time point, the PCR targets failed to amplify. The percent success of downstream PCR amplification on fresh pollen grains varied from 20% to 100%, with an average of 62% success. The addition of a common molecular crowder, polyethylene glycol, produced consistent amplification, regardless of input DNA concentration and eliminated the need for triplicate samples. Successful pollination and subsequent reproduction of flowering plants has a substantial ecological and agricultural importance that warrants increased understanding into how insects move pollen across the landscape. Determining the haploid profiles of a single pollen grain will allow scientists to elucidate dispersal patterns of pollen grains and track the movement and efficiency of biotic pollinators.

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Freedman, Benjamin Gordon. "Degenerate oligonucleotide primed amplification of genomic DNA for combinatorial screening libraries and strain enrichment". Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/71346.

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Combinatorial approaches in metabolic engineering can make use of randomized mutations and/or overexpression of randomized DNA fragments. When DNA fragments are obtained from a common genome or metagenome and packaged into the same expression vector, this is referred to as a DNA library. Generating quality DNA libraries that incorporate broad genetic diversity is challenging, despite the availability of published protocols. In response, a novel, efficient, and reproducible technique for creating DNA libraries was created in this research based on whole genome amplification using degenerate oligonucleotide primed PCR (DOP-PCR). The approach can produce DNA libraries from nanograms of a template genome or the metagenome of multiple microbial populations. The DOP-PCR primers contain random bases, and thermodynamics of hairpin formation was used to design primers capable of binding randomly to template DNA for amplification with minimal bias. Next-generation high-throughput sequencing was used to determine the design is capable of amplifying up to 98% of template genomic DNA and consistently out-performed other DOP-PCR primers. Application of these new DOP-PCR amplified DNA libraries was demonstrated in multiple strain enrichments to isolate genetic library fragments capable of (i) increasing tolerance of E. coli ER2256 to toxic levels of 1-butanol by doubling the growth rate of the culture, (ii) redirecting metabolism to ethanol and pyruvate production (over 250% increase in yield) in Clostridium cellulolyticum when consuming cellobiose, and (iii) enhancing L-arginine production when used in conjunction with a new synthetic gene circuit.
Ph. D.

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Lu, Sijia. "Label-Free Optical Imaging of Chromophores and Genome Analysis at the Single Cell Level". Thesis, Harvard University, 2012. http://dissertations.umi.com/gsas.harvard:10563.

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Since the emergence of biology as a quantitative science in the past century, a lot of biological discoveries have been driven by milestone technical advances such as X-ray crystallography, fluorescence microscopy and high-throughput sequencing. Fluorescence microscopy is widely used to explore the nanoscale cellular world because of its superb sensitivity and spatial resolution. However, many species (e.g. lipids, small proteins) are non-fluorescent and are difficult to label without disturbing their native functions. In the first part of the dissertation, we explore using three different contrast mechanisms for label-free imaging of these species – absorption and stimulated emission (Chapter 2), heat generation and diffusion (Chapter 3) and nonlinear scattering (Chapter 4). We demonstrate label-free imaging of blood vessels, cytochromes, drugs for photodynamic therapy, and muscle and brain tissues with three dimensional optical sectioning capability. With the rapid development of high throughput genotyping techniques, genome analysis is currently routinely done genome-wide with single nucleotide resolution. However, a large amount of starting materials are often required for whole genome analysis. The dynamic changes in DNA molecules generate intra-sample heterogeneity. Even with the same genome content, different cells often have very different transcriptome profiles in a functional organism. Such intra-sample heterogeneities in the genome and transcriptome are often masked by ensemble analysis. In this second part of the dissertation, we first introduce a whole genome amplification method with high coverage in sequencing single human cells (Chapter 6). We then use the technique to study meiotic recombinations in sperm cells from an individual (Chapter 7). We further develop a technique that enables digital counting of genome fragments and whole genome haplotyping in single cells (Chapter 8). And we introduce our ongoing efforts on single cell transcriptome analysis (Chapter 9). In the end, we introduce our initial effort in exploring the genome accessibility at the single cell level (Chapter 9). Through the development of techniques probing the single cell genome, transcriptome and possibly epigenome, we hope to provide a toolbox for studying biological processes with genome-wide and single cell resolution.
Chemistry and Chemical Biology

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Du, Breil de Pontbriand Alexandra. "Cartographie des génomes par HAPPY mapping. Développement d'une amplification "whole genome" et validation sur cartes comparatives homme/chimpanzé/gorille". Rennes 1, 2003. http://www.theses.fr/2003REN10104.

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La comparaison des génomes de grands singes et de l'homme devrait apporter de nouvelles informations concernant l'évolution de l'homme, ces différents genomes restant très proches. Le caryotype humain possède une paire de chromosomes en moins, le chromosome 2 humain étant issu de la fusion télomérique de deux chromosomes ancestraux de singes. Afin de pouvoir mettre en evidence les réarrangements qui ont amené à l'apparition de l'espèce humaine, nous avons décidé d'entreprendre une étude comparative entre l'homme, le chimpanzé et le gorille. Pour y parvenir, nous avons utilisé le HAPPY mapping afin de cartographier plusieurs centaines de marqueurs sur ces trois génomes. Ceci nous a permis d'identifier plusieurs réarrangements chromosomiques, en particulier une inversion et une translocation, et de préciser le point de rupture de syntenie ayant conduit à la formation du chromosome 2 humain. La localisation de ce dernier ayant été confirmée par des expériences de FISH.

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Sandberg, Julia. "Massively parallel analysis of cells and nucleic acids". Doctoral thesis, KTH, Genteknologi, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-45671.

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Recent proceedings in biotechnology have enabled completely new avenues in life science research to be explored. By allowing increased parallelization an ever-increasing complexity of cell samples or experiments can be investigated in shorter time and at a lower cost. This facilitates for example large-scale efforts to study cell heterogeneity at the single cell level, by analyzing cells in parallel that also can include global genomic analyses. The work presented in this thesis focuses on massively parallel analysis of cells or nucleic acid samples, demonstrating technology developments in the field as well as use of the technology in life sciences. In stem cell research issues such as cell morphology, cell differentiation and effects of reprogramming factors are frequently studied, and to obtain information on cell heterogeneity these experiments are preferably carried out on single cells. In paper I we used a high-density microwell device in silicon and glass for culturing and screening of stem cells. Maintained pluripotency in stem cells from human and mouse was demonstrated in a screening assay by antibody staining and the chip was furthermore used for studying neural differentiation. The chip format allows for low sample volumes and rapid high-throughput analysis of single cells, and is compatible with Fluorescence Activated Cell Sorting (FACS) for precise cell selection. Massively parallel DNA sequencing is revolutionizing genomics research throughout the life sciences by constantly producing increasing amounts of data from one sequencing run. However, the reagent costs and labor requirements in current massively parallel sequencing protocols are still substantial. In paper II-IV we have focused on flow-sorting techniques for improved sample preparation in bead-based massive sequencing platforms, with the aim of increasing the amount of quality data output, as demonstrated on the Roche/454 platform. In paper II we demonstrate a rapid alternative to the existing shotgun sample titration protocol and also use flow-sorting to enrich for beads that carry amplified template DNA after emulsion PCR, thus obtaining pure samples and with no downstream sacrifice of DNA sequencing quality. This should be seen in comparison to the standard 454-enrichment protocol, which gives rise to varying degrees of sample purity, thus affecting the sequence data output of the sequencing run. Massively parallel sequencing is also useful for deep sequencing of specific PCR-amplified targets in parallel. However, unspecific product formation is a common problem in amplicon sequencing and since these shorter products may be difficult to fully remove by standard procedures such as gel purification, and their presence inevitably reduces the number of target sequence reads that can be obtained in each sequencing run. In paper III a gene-specific fluorescent probe was used for target-specific FACS enrichment to specifically enrich for beads with an amplified target gene on the surface. Through this procedure a nearly three-fold increase in fraction of informative sequences was obtained and with no sequence bias introduced. Barcode labeling of different DNA libraries prior to pooling and emulsion PCR is standard procedure to maximize the number of experiments that can be run in one sequencing lane, while also decreasing the impact of technical noise. However, variation between libraries in quality and GC content affects amplification efficiency, which may result in biased fractions of the different libraries in the sequencing data. In paper IV barcode specific labeling and flow-sorting for normalization of beads with different barcodes on the surface was used in order to weigh the proportion of data obtained from different samples, while also removing mixed beads, and beads with no or poorly amplified product on the surface, hence also resulting in an increased sequence quality. In paper V, cell heterogeneity within a human being is being investigated by low-coverage whole genome sequencing of single cell material. By focusing on the most variable portion of the human genome, polyguanine nucleotide repeat regions, variability between different cells is investigated and highly variable polyguanine repeat loci are identified. By selectively amplifying and sequencing polyguanine nucleotide repeats from single cells for which the phylogenetic relationship is known, we demonstrate that massively parallel sequencing can be used to study cell-cell variation in length of these repeats, based on which a phylogenetic tree can be drawn.
QC 20111031

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Gabrieli, A. "STUDIO DI TECNOLOGIE DI AMPLIFICAZIONE E GENOTIPIZZAZIONE DEL GENOMA SU CAMPIONI DI DNA PROVENIENTI DA SANGUE E DA CELLULE DELLA BOCCA PER APPLICAZIONI IN AMBITO EPIDEMIOLOGICO". Doctoral thesis, Università degli Studi di Milano, 2010. http://hdl.handle.net/2434/150115.

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In epidemiological studies the amount of biological material available is a limiting factor. Many studies use DNA as biological sample obtained by venipuncture, but this collection method is invasive especially if donors are children and the elderly. The use of mouth cells can be an alternative source, although you get DNA of poor quality and quantity. To increase the amount of DNA extracted from buccal cells, you can use the "Whole Genome Amplification”. The aim of my PhD project was to develop a method to extract DNA from buccal cells and to study amplification technologies and subsequent genotyping of DNA extracted from blood and buccal cells. The accuracy of WGA was evaluated with different techniques of molecular biology and genotyping: direct sequencing, allelic discrimination assays, microsatellite genotyping and ”genome wide analysis”. Our analysis showed that the WGA can be used to increase the amount of starting biological material, however, it has some limitations, the fact that direct sequencing and analysis with microsatellites in some cases, may cause a loss of 'genetic information’. According to the data found using DNA from buccal cells and WGA, we have genotyped GSTP1 gene polymorphism Ile105/Val105 about 103 people in the Milan area through Real Time. The study of allele frequencies of this polymorphism in the GSTP1 gene is part of a project aiming to determine whether in patients with respiratory diseases there is an interaction between individual genetic predisposition and exposure to a common external agent coming from urban pollution. The genotypic frequencies obtained in our population were not significantly different from those of Tuscany population genotyped for the HapMap project, so our samples will be used as reference for future studies. Furthermore, we showed that both buccal cells and the WGA can be used in epidemiological analysis for genotyping through Real Time PCR. WGA may be a useful way to increase the amount of DNA; DNA extracted from buccal cells can be a valuable resource for genetic studies.

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Mais fontes

Livros sobre o assunto "Whole genome amplification"

Kroneis, Thomas, ed. Whole Genome Amplification. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-2990-0.

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Simon, Hughes, e Lasken R, eds. Whole genome amplification. Bloxham: Scion, 2005.

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Kroneis, Thomas. Whole Genome Amplification: Methods and Protocols. Springer New York, 2016.

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Kroneis, Thomas. Whole Genome Amplification: Methods and Protocols. Springer New York, 2015.

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(Editor), S. Hughes, e R. Lasken (Editor), eds. Whole Genome Amplification: Methods Express Series (Methods Express). Scion Publishing Ltd., 2005.

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(Editor), S. Hughes, e R. Lasken (Editor), eds. Whole Genome Amplification: Methods Express Series (Methods Express). Scion Publishing Ltd., 2005.

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Capítulos de livros sobre o assunto "Whole genome amplification"

Gasch, Christin, Klaus Pantel e Sabine Riethdorf. "Whole Genome Amplification in Genomic Analysis of Single Circulating Tumor Cells". In Whole Genome Amplification, 221–32. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-2990-0_15.

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Czyz, Zbigniew Tadeusz, Stefan Kirsch e Bernhard Polzer. "Principles of Whole-Genome Amplification". In Whole Genome Amplification, 1–14. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-2990-0_1.

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Kroneis, Thomas, e Amin El-Heliebi. "Quality Control of Isothermal Amplified DNA Based on Short Tandem Repeat Analysis". In Whole Genome Amplification, 129–40. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-2990-0_10.

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Czyz, Zbigniew Tadeusz, Nikolas H. Stoecklein e Bernhard Polzer. "Laser Microdissection of FFPE Tissue Areas and Subsequent Whole Genome Amplification by Ampli1™". In Whole Genome Amplification, 141–62. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-2990-0_11.

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Sørensen, Karina Meden. "Whole Genome Amplification from Blood Spot Samples". In Whole Genome Amplification, 163–78. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-2990-0_12.

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Fortes, Gloria Gonzales, e Johanna L. A. Paijmans. "Analysis of Whole Mitogenomes from Ancient Samples". In Whole Genome Amplification, 179–95. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-2990-0_13.

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Dimitriadou, Eftychia, Masoud Zamani Esteki e Joris Robert Vermeesch. "Copy Number Variation Analysis by Array Analysis of Single Cells Following Whole Genome Amplification". In Whole Genome Amplification, 197–219. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-2990-0_14.

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Kroneis, Thomas, e Amin El-Heliebi. "Whole Genome Amplification of Labeled Viable Single Cells Suited for Array-Comparative Genomic Hybridization". In Whole Genome Amplification, 233–43. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-2990-0_16.

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Kroneis, Thomas, Shukun Chen e Amin El-Heliebi. "Low-Volume On-Chip Single-Cell Whole Genome Amplification for Multiple Subsequent Analyses". In Whole Genome Amplification, 245–61. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-2990-0_17.

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Coumans, Frank, e Leon Terstappen. "Detection and Characterization of Circulating Tumor Cells by the CellSearch Approach". In Whole Genome Amplification, 263–78. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-2990-0_18.

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Trabalhos de conferências sobre o assunto "Whole genome amplification"

Hara, Christine, Christine Nguyen, Elizabeth Wheeler, Karen Sorensen, Erin Arroyo, Greg Vrankovich e Allen Christian. "Small sample whole-genome amplification". In Optics East 2005, editado por Brian M. Cullum e J. Chance Carter. SPIE, 2005. http://dx.doi.org/10.1117/12.630925.

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Xue, Crystal, Laura Gardner, Guanglong Jiang, Fei Shen e Bryan Schneider. "Abstract 5401: Assessment of whole genome amplification for whole exome sequencing in detecting genetic mutation". In Proceedings: AACR Annual Meeting 2017; April 1-5, 2017; Washington, DC. American Association for Cancer Research, 2017. http://dx.doi.org/10.1158/1538-7445.am2017-5401.

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Edelman, Daniel C., Holly Stevenson, Miiia Suuriniemi, Parvati Singh, Jamie Rodriguez-Canales, Jeffery C. Hanson, Robert Walker, Michael R. Emmert-Buck e Paul Meltzer. "Abstract 4862: Whole genome amplification allows for testing of valuable specimens by array comparative genomic hybridization". In Proceedings: AACR 102nd Annual Meeting 2011‐‐ Apr 2‐6, 2011; Orlando, FL. American Association for Cancer Research, 2011. http://dx.doi.org/10.1158/1538-7445.am2011-4862.

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Huang, Yanyi, e Fangli Zhang. "Spinning micro-pipette liquid emulsion generator for single cell whole genome amplification". In The 7th International Multidisciplinary Conference on Optofluidics 2017. Basel, Switzerland: MDPI, 2017. http://dx.doi.org/10.3390/optofluidics2017-04309.

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Needham, Rachel H. V., Arturo B. Ramirez, Iman Kishawi, Jackie L. Stilwell e Eric P. Kaldjian. "Abstract 3615: Comparison of whole genome amplification methods on single and pooled cells for comparative genomic hybridization array analysis". In Proceedings: AACR 107th Annual Meeting 2016; April 16-20, 2016; New Orleans, LA. American Association for Cancer Research, 2016. http://dx.doi.org/10.1158/1538-7445.am2016-3615.

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Myllykangas, Samuel, Jason Buenrostro, John Bell e Hanlee P. Ji. "Abstract 1160: Whole genome amplification and high-throughput sequencing of formalin-fixed paraffin-embedded colorectal cancer". In Proceedings: AACR 101st Annual Meeting 2010‐‐ Apr 17‐21, 2010; Washington, DC. American Association for Cancer Research, 2010. http://dx.doi.org/10.1158/1538-7445.am10-1160.

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Amiss, Terry J., Frances Tong, Eileen Snowden, Richard Kelly, Rainer Blaesius, Nick Herrmann, Friedrich Hahn et al. "Abstract A38: Optimization of whole-genome amplification for analysis of single cells using next-generation sequencing". In Abstracts: AACR Precision Medicine Series: Drug Sensitivity and Resistance: Improving Cancer Therapy; June 18-21, 2014; Orlando, FL. American Association for Cancer Research, 2015. http://dx.doi.org/10.1158/1557-3265.pms14-a38.

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Liu, Haiyan E., Melanie Triboulet, Amin Zia, Meghah Vuppalapaty, Evelyn Kidess-Sigal, John Coller, Vanita S. Natu et al. "Abstract 1724: Genomic profiling of Vortex-enriched CTCs using whole genome amplification and multiplex PCR-based targeted next generation sequencing". In Proceedings: AACR Annual Meeting 2017; April 1-5, 2017; Washington, DC. American Association for Cancer Research, 2017. http://dx.doi.org/10.1158/1538-7445.am2017-1724.

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Liu, Yuguang, Patricio Jeraldo, Samantha McDonough, Jin Jen, Robin Patel, Marina Walther-Antonio, Christopher Lambert e Bruce Gale. "Experimental validation of an optofluidic platform for microbial single cell isolation and whole genome amplification for human microbiome applications". In 2017 IEEE International Symposium on Medical Measurements and Applications (MeMeA). IEEE, 2017. http://dx.doi.org/10.1109/memea.2017.7985850.

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Ericson, Nolan G., Arturo B. Ramirez, Alisa C. Clein, Celestia S. Higano, Daniel E. Sabath e Eric P. Kaldjian. "Abstract 439: Targeted single cell DNA sequencing without prior whole genome amplification for mutational analysis of circulating tumor cells". In Proceedings: AACR Annual Meeting 2019; March 29-April 3, 2019; Atlanta, GA. American Association for Cancer Research, 2019. http://dx.doi.org/10.1158/1538-7445.sabcs18-439.

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