Relevant bibliographies by topics / Microdissection

Academic literature on the topic 'Microdissection'

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Published: 4 June 2021
Last updated: 7 July 2024

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Journal articles on the topic "Microdissection"

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Qin, Dahui, Zhong Zheng, Shanxiang Shen, Prudence Smith, and Farah K. Khalil. "Necessity of Microdissecting Different Tumor Components in Pulmonary Tumor Pyrosequencing." BioMed Research International 2016 (2016): 1–5. http://dx.doi.org/10.1155/2016/8759267.

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Microdissection is a useful method in tissue sampling prior to molecular testing. Tumor heterogeneity imposes new challenges for tissue sampling. Different microdissecting methods have been employed in face of such challenge. We improved our microdissection method by separately microdissecting the morphologically different tumor components. This improvement helped the pyrosequencing data analysis of two specimens. One specimen consisted of both adenocarcinoma and neuroendocrine components. When both tumor components were sequenced together for KRAS (Kirsten rat sarcoma viral oncogene homolog) gene mutations, the resulting pyrogram indicated that it was not a wild type, suggesting that it contained KRAS mutation. However, the pyrogram did not match any KRAS mutations and a conclusion could not be reached. After microdissecting and testing the adenocarcinoma and neuroendocrine components separately, it was found that the adenocarcinoma was positive for KRAS G12C mutation and the neuroendocrine component was positive for KRAS G12D mutation. The second specimen consisted of two morphologically different tumor nodules. When microdissected and sequenced separately, one nodule was positive for BRAF (v-raf murine sarcoma viral oncogene homolog B1) V600E and the other nodule was wild type at the BRAF codon 600. These examples demonstrate that it is necessary to microdissect morphologically different tumor components for pyrosequencing.
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Tangrea, Michael A., Rodrigo F. Chuaqui, John W. Gillespie, Mamoun Ahram, Gallya Gannot, Benjamin S. Wallis, Carolyn J. M. Best, et al. "Expression Microdissection." Diagnostic Molecular Pathology 13, no. 4 (December 2004): 207–12. http://dx.doi.org/10.1097/01.pdm.0000135964.31459.bb.

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Pixell, I. I. "Microdissection Laser." Biofutur 1999, no. 193 (October 1999): 52. http://dx.doi.org/10.1016/s0294-3506(00)87141-0.

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Hunt, Jennifer L., and Sydney D. Finkelstein. "Microdissection Techniques for Molecular Testing in Surgical Pathology." Archives of Pathology & Laboratory Medicine 128, no. 12 (December 1, 2004): 1372–78. http://dx.doi.org/10.5858/2004-128-1372-mtfmti.

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Abstract Objective.—To describe the techniques for microdissection of paraffin-embedded and frozen tissue sections for the use in molecular applications. Data Sources.—Original research papers and review papers and the authors' personal experiences. Data Synthesis.—Manual and laser-capture microdissection are described in detail, with specific protocols for sample preparation and instructions for performing the microdissection. A section addressing frequently asked questions is also included. Conclusions.—Microdissection is a technique that is very useful both in the research setting and for clinical molecular testing in paraffin-embedded tissue samples. The available techniques range from simple and inexpensive (manual microdissection) to complex and expensive (laser-capture microdissection). All of the techniques, however, require the user to be familiar with microscopy and histology.
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Emmert-Buck, Michael R., Robert F. Bonner, Paul D. Smith, Rodrigo F. Chuaqui, Zhengping Zhuang, Seth R. Goldstein, Rhonda A. Weiss, and Lance A. Liotta. "Laser Capture Microdissection." Science 274, no. 5289 (November 8, 1996): 998–1001. http://dx.doi.org/10.1126/science.274.5289.998.

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Espina, Virginia, Julia D. Wulfkuhle, Valerie S. Calvert, Amy VanMeter, Weidong Zhou, George Coukos, David H. Geho, Emanuel F. Petricoin, and Lance A. Liotta. "Laser-capture microdissection." Nature Protocols 1, no. 2 (June 27, 2006): 586–603. http://dx.doi.org/10.1038/nprot.2006.85.

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Tresser, N., M. Ouezado, L. Whitney, K. Becker, R. Bonner, M. Emmert-Buck, and L. Liotta. "LASER CAPTURE MICRODISSECTION." Journal of Neuropathology and Experimental Neurology 57, no. 5 (May 1998): 505. http://dx.doi.org/10.1097/00005072-199805000-00164.

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Jensen, Ellen. "Laser-Capture Microdissection." Anatomical Record 296, no. 11 (October 4, 2013): 1683–87. http://dx.doi.org/10.1002/ar.22791.

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Tsai, Cheng-Han, I.-Shen Huang, Wei-Jen Chen, Li-Hua Li, Eric Yi-Hsiu Huang, and William J. Huang. "Repeat Microdissection Testicular Sperm Extraction in Azoospermic Men with Nonmosaic Klinefelter Syndrome." Andrologia 2023 (May 23, 2023): 1–7. http://dx.doi.org/10.1155/2023/3955704.

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Introduction. To investigate the predictive factors for successful repeat microdissection testicular sperm extraction attempts in patients with Klinefelter syndrome. Methods. A total of 28 azoospermic men with nonmosaic Klinefelter syndrome who have received microdissection testicular sperm extraction twice with successful initial microdissection testicular sperm extraction attempts in our institute were studied. Outcome variables (age, serum follicle-stimulating hormone, luteinizing hormone, testosterone, prolactin, and estradiol) of azoospermic men with nonmosaic Klinefelter syndrome and a successful 2nd surgical sperm retrieval attempt (group A) were compared to those with an unsuccessful 2nd sperm retrieval attempt (group B). Results. Twenty-one patients (75%) had successful sperm recovery at the 2nd microdissection testicular sperm extraction attempt. The mean testosterone level at baseline and before the 1st microdissection testicular sperm extraction attempt was higher in group A than in group B (2.7 vs. 0.9 ng/mL, p < 0.01 , and 3.9 vs. 1.1 ng/mL, p = 0.02 ). Receiver operating characteristic curve analysis identified the threshold baseline testosterone concentration (1.5 ng/mL) of patients with Klinefelter syndrome in predicting successful 2nd sperm retrieval attempts and revealed positive and negative predictive values of 94.44% and 60%, respectively. Conclusion. Azoospermic men with Klinefelter syndrome presenting with low testosterone levels and successful sperm recovery during the first microdissection testicular sperm extraction procedure are unlikely to retrieve sperm on the 2nd microdissection testicular sperm extraction attempt. Hence, these patients should be properly counseled before sperm retrieval.
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Kumar, Pramod, and Virendra Singh. "Modified microdissection electrocautery needle." National Journal of Maxillofacial Surgery 5, no. 2 (2014): 243. http://dx.doi.org/10.4103/0975-5950.154849.

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Dissertations / Theses on the topic "Microdissection"

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Stefanou, Eunice-Georgia G. "Chromosome painting using microdissection techniques." Thesis, University of Glasgow, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.364084.

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Vergier, Béatrice. "Intérêts de la microdissection unicellulaire dans l'étude des lymphomes." Bordeaux 2, 2001. http://www.theses.fr/2001BOR28871.

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Les lymphomes se caractérisent par une très grande hétérogénéité cellulaire conduisant à utiliser des approches unicellulaires. Notre travail de thèse a été de mettre au point la technique de microdissection unicellulaire et d'optimiser les méthodes d'amplification de l'ADN pour analyse à l'échelon d'une cellule de plusieurs événements moléculaires. Nous avons adapté une méthode de pré-amplification génomique (PEP-PCR) permettant, à partir d'un lymphocyte, l'étude combinée du réarrangement des gènes du TCRγ (sensibilité 28 %), des IgH (sensibilité 40 % ), et des translocations t(14 ; 18) ou t(11 ; 14). Nous avons appliqué cette méthode à différentes problématiques. Tout d'abord à l'étude des lymphomes bigénotypiques : l'incidence d'un double réarrangement majoritaire des gènes IgH et TCRγ était parmi les 398 lymphomes analysés de 13 % pour les lymphomes B et de 10 % pour les lymphomes T. L'analyse combinée de 4 lymphomes représentatifs a montré dans 2 cas (1 syndrome de Sézary et 1 lymphome du manteau) qu'il s'agissait de "vrais" lymphomes bigénotypiques (la même cellule portant les 2 réarrangements) et dans 2 cas (un lymphome B diffus à grandes cellules et un lymphome T angio-immunoblastique) que chaque réarrangement était porté par 2 populations différentes. La deuxième application a permis le suivi évolutif moléculaire d'un patient porteur successivement d'un lymphome du MALT (Epstein Barr Virus, EBV négatif), d'une maladie de Hodgkin (EBV +) et d'un lymphome B diffus à grandes cellules (EBV+). Nous avons prouvé l'homogénéité clonale de la population lymphomateuse qui était morphologiquement et phénotypiquement hétérogène. Enfin la dernière application a porté sur l'étude de la t(14 ; 18) dans les lymphomes B folliculaires cutanés. Au total, l'analyse combinée de plusieurs gènes après microdissection unicellulaire permet de corréler à l'échelon d'une cellule sa morphologie, sa localisation, son phénotype, son génotype et ses anomalies moléculaires
Lymphomas consist of heterogenous cells making necessary the use of unicellular analysis. So, we have developed single cell microdissection and adapted PCR analysis to study at single cell level several molecular events. After a whole genome amplification step, we have designed a single cell combined TCR γ (sensibility, 28 %), IGH (sensibility, 40 %) gene analysis and t(14 ; 18) detection. We applied this method to analyse different problems. Firstly the bigenotypic lymphomas : we have observed a dual genotype in 13 % of B-cell lymphomas among the 398 lymphoma cases. This single cell combined PCR approach allowed to identify, among 4 cases studied, 2 true bigenotypic lymphomas (one Sézary Syndrome and one mantle cell lumphoma) as both IgH and TCR γ monoclonal rearrangements were detected in the same cells. Conversely, in the 2 other cases (one diffuse large B-cell lymphoma and one angio-immunoblastic T-cell lymphoma), large CD22 + single cells exhibited only the monoclonal IgH rearrangement but not the TCR γ gene that was detected in CD3+ single cells. Secondly this approach was found useful for the molecular follow-up of different lymphoproliferations arising in same patient. We studied a patient who have presented first MALT Lymphoma (EBV -) then mediastinal Hodgkin disease (EBV +) and at last large B-cell lymphoma of the colon (EBV+). Our method, proved the common clonal origin of large cells despite the fact that they were morphologically and phenotypically (CD30 + or-, CD22 + or -, EBV+ or -) different. Lastly, we studied the t(14 ; 18) in follicular B-cells lymphoma by comparing 2 techniques (real-time PCR, Taqman vs "classic" PCR). Finally, this single cell/multiple gene analysis makes it possible to attribute specific genetic abnormalities, such as translocations and/or oncogenic alterations, to lymphoid cells defined both by their location, morphology, phenotype and their antigen receptor gene rearrangement
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Fang, Yu-Yan. "Microdissection and molecular cloning of extra small ring chromosomes of human /." Title page, contents and summary only, 1998. http://web4.library.adelaide.edu.au/theses/09PH/09phf211.pdf.

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Thesis (Ph. D.)--University of Adelaide, Dept. of Paediatrics, 1998.
Copies of author's previously published articles inserted. Errata pasted onto front end-paper. Includes bibliographical references (leaves 111-139).
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Matsuo, Hidemasa. "Purification of leukemic blast cells from blood smears using laser microdissection." Kyoto University, 2018. http://hdl.handle.net/2433/232315.

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Stuart, Charles A., William L. Stone, Mary E. A. Howell, Marianne F. Brannon, H. Kenton Hall, Andrew L. Gibson, and Michael H. Stone. "Myosin Content of Individual Human Muscle Fibers Isolated by Laser Capture Microdissection." Digital Commons @ East Tennessee State University, 2015. https://dc.etsu.edu/etsu-works/4642.

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Muscle fiber composition correlates with insulin resistance, and exercise training can increase slow-twitch (type I) fibers and, thereby, mitigate diabetes risk. Human skeletal muscle is made up of three distinct fiber types, but muscle contains many more isoforms of myosin heavy and light chains, which are coded by 15 and 11 different genes, respectively. Laser capture microdissection techniques allow assessment of mRNA and protein content in individual fibers. We found that specific human fiber types contain different mixtures of myosin heavy and light chains. Fast-twitch (type IIx) fibers consistently contained myosin heavy chains 1, 2, and 4 and myosin light chain 1. Type I fibers always contained myosin heavy chains 6 and 7 (MYH6 and MYH7) and myosin light chain 3 (MYL3), whereas MYH6, MYH7, and MYL3 were nearly absent from type IIx fibers. In contrast to cardiomyocytes, where MYH6 (also known as α-myosin heavy chain) is seen solely in fast-twitch cells, only slow-twitch fibers of skeletal muscle contained MYH6. Classical fast myosin heavy chains (MHC1, MHC2, and MHC4) were present in variable proportions in all fiber types, but significant MYH6 and MYH7 expression indicated slow-twitch phenotype, and the absence of these two isoforms determined a fast-twitch phenotype. The mixed myosin heavy and light chain content of type IIa fibers was consistent with its role as a transition between fast and slow phenotypes. These new observations suggest that the presence or absence of MYH6 and MYH7 proteins dictates the slow- or fast-twitch phenotype in skeletal muscle. The technical challenges of human skeletal muscle fiber type identification have evolved over the past three decades (8). The typical normal adult has roughly equal amounts of slow- and fast-twitch fibers, designated type I and II fibers. In addition, a variable portion of the type II fibers is mixed, containing both fast- and slow-twitch fiber markers, called type IIa fibers, whereas type II fibers that contain only the fast-twitch phenotype are designated type IIx in humans. Exercise training can cause modest shifts in fiber composition from one of these types to a contiguous type, with the relationship being type I to IIa to IIx or type IIx to IIa to I. The tail end of each myosin heavy chain is attached to the tail of another myosin heavy chain, and each of these forms a complex with two myosin light chains. Many heavy and light chain complexes are intertwined to form the thick filaments of each sarcomere. Thin filaments are composed of actin, troponin, and tropomyosin. The myosin heavy chains contain ATPase, which is essential for shortening of the contractile apparatus in the sarcomere, resulting in muscle-generated movement of a body part. The pH optimum of the ATPase has been classically the histochemical technique for identifying fast, slow, and mixed fibers. However, for more than a decade, monoclonal antibodies that correlated with the ATPase designation of fast, slow, and mixed fibers by bright-field or immunohistochemical methods have been used (2). The widely used fast and slow myosin monoclonal antibodies were obtained from mice immunized with only partially purified human skeletal muscle myosin antigens. More recently, antibodies that were raised against specific individual myosin heavy and light chain proteins became commercially available. The 15 human genes that code myosin heavy chains are designated MYH1, MYH2, MYH3, MYH4, MYH6, MYH7, MYH7B, MYH8, MYH9, MYH10, MYH11, MYH12, MYH13, MYH14, MYH15, and MYH16 (17). MYH9, MYH10, and MYH11 are expressed primarily in smooth muscle. At least eight separate genes that code myosin light chains, MYL1, MYL2, MYL3, MYL4, MYL5, MYL6, MYL6B, and MYLPF, have been identified, and at least three of these have a second isoform (3). Our initial investigation of the expression of myosin heavy and light chains using laser capture microdissection (LCM) to obtain specific fiber type samples from human vastus lateralis biopsies yielded some unexpected results. These observations led us to question which isoforms of myosin heavy and light chains are actually characteristic of “fast” or “slow” fibers in human skeletal muscle. We used immunoblots, mass spectroscopic (MS) proteomics, and next-generation sequencing of muscle homogenates and of LCM-generated samples of individual fiber types from normal control subjects and subjects with extremely different muscle fiber composition to approach this question by evaluating muscle specimens from subjects with diverse and extremely different fiber compositions. The hypothesis that drove these studies was that fibers of each type would have consistent myosin heavy and light chains that are characteristic of the fiber type. This is the first report that the abundance of different myosin heavy and light chains corresponds to different muscle fiber types.
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Mohamed, Allie. "Colorado microdissection needle versus cold steel scalpel for incisions in third molar surgery." Thesis, University of the Western Cape, 2014. http://hdl.handle.net/11394/4089.

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Magister Chirurgiae Dentium - MChD
This study compares the CMN to the steel scalpel by assessing incision time, incisional blood loss, postoperative pain, wound healing, and the incidence of lingual and long buccal nerve injury. Twenty standardised cases were included in an analytical prospective case series. Each case had one side cut with CMN and the other side with steel scalpel. Third molar surgery is the most commonly performed procedure by maxillo-facial and oral surgeons, and is associated with expected but transient sequelae such as pain, swelling and trismus. Modalities to reduce the severity of these sequelae are desirable. Several studies report that the use of conventional electrosurgical instruments and the Colorado Microdissection Needle (CMN) resulted in significant reductions in cutting time, incisional blood loss, postoperative pain, with no evidence of increased incidence of wound complications such as dehiscence and infection.
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Majithia, Haritika. "Determining cell-specific gene expression in two soybean mutants using laser capture microdissection." Thesis, McGill University, 2013. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=119666.

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Soybean, Glycine max, (L.) Merr., is usually covered in trichomes and has three leaflets per compound leaf. Two mutant soybean cultivars, one without trichomes, cv. Glabrous, and the other with five leaflets per compound leaf, cv. 5-LF, are compared with a wild type cultivar to detect gene expression differences. Trichomes develop and differentiate from the epidermis and the fate of leaves, whether they are compound or simple, is decided in the meristem. Cell-specific gene expression of the epidermis as compared to the meristem is investigated in the three cultivars using Laser Capture Microdissection and high-throughput RNA sequencing. The results indicate about 200 differentially expressed genes in the two tissues (meristem and epidermis) of each of the three cultivars. The meristem had higher expression of genes containing sequence-specific DNA binding domains whereas the epidermis had higher expression of genes related to plant defense.
Soya, Glycine max, (L.) Merr., est généralement couvert de trichomes et possède trois folioles par feuille composée. Deux cultivars de soya mutant, un sans trichomes, cv. Glabrous, et un avec cinq folioles par feuille composée, cv. 5-LF, ont été comparés avec un cultivar sauvage pour étudier la différence dans l'expression des gènes. Comme les trichomes se développent et se différencient depuis l'épiderme et comme le sort des feuilles (qu'elle devienne composée ou simple) se décide au niveau du méristème, l'expression des gènes des cellules spécifiques de l'épidermes a été comparée au méristème dans les trois cultivars via un instrument de microdissection au laser ainsi qu'à l'aide de séquençage d'ARN à haute capacité. Les résultats indiquent qu'environ 200 gènes distincts dans les deux tissues (méristème et épiderme) ont été exprimés différemment dans chacun des trois cultivars. Le méristème avait une expression plus élevée de domaines de liaison à l'ADN spécifiques de séquence alors que l'épiderme avait une plus forte expression de gènes liés à la défense des plantes.
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Vlachouli, Christina. "Microarray analysis of GFP-expressing mouse Dopamine neurons isolated by laser capture microdissection." Doctoral thesis, SISSA, 2009. http://hdl.handle.net/20.500.11767/4762.

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The Central Nervous System (CNS) contains an enormous variety of cell types which organize in complex networks. The lack of adequate markers to discern unequivocally among this cellular heterogeneity make the task of dissecting out such neural networks and the cells that comprise them very challenging. The present study represents a “bottom-up” approach that entails a description of A9 and A10 nuclei, which are components of the mesencephalic dopaminergic system, and the identification of their molecular make-up through microarray analysis of their gene expression profiles. These mesencephalic dopaminergic nuclei give rise to the mesocortical and mesostriatal projections and are well known for their roles in initiation of movement, reward behaviour and neurobiology of addiction. Moreover, in post mortem brains of Parkinson Disease patients a specific topographic pattern of degeneration of these neurons, also recapitulated in experimental animal models, is noted, with A9 neurons presenting with a higher vulnerability to degeneration with respect to A10 cells among which, neuron loss is almost negligible. Molecular differences may be at the basis of this different susceptibility. In this study we have optimized a protocol for laser-assisted microdissection of fluorescent-expressing cells and have taken advantage of a line of transgenic mice TH-GFP/21-31, which express GFP under the TH promoter in all CA cells, to guide laser capture microdissection of A9 and A10 mDA neurons for differential informative cDNA microarray profiling. Results show that our optimized method retains the GFP-fluorescence of DA cells and achieves good tissue morphology visualization. Moreover, RNA of high quality and good reproducibility of hybridizations support the validity of the protocol. Many of the genes that resulted differentially expressed from this analysis were found to be genes previously known to specifically define the different identities of the two DA neuronal nuclei. Transcripts were verified for expression, in DA neurons, using the collection of in situ hybridization in the Allen Brain Atlas. We have identified 592 differentially expressed transcripts (less than 8%) of which 242 showing higher expression in A9 and 350 showing higher expression in A10. Categorical analysis showed that transcripts associated with mitochondria and energy production were enriched in A9, while transcripts involved in redox homeostasis and stress response resulted enriched in A10. Of all the differentially expressed genes, eight transcripts (Mif, Hnt, Ndufa10, Aurka, Cs, enriched in A9 neurons and Pdia5, Whrn, and Gpx3 enriched in A10 neurons), verified with the Allen Brain Atlas and not noted or confirmed as differentially expressed before, emerged from this analysis. These and other selected genes are discussed.
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Griffiths, T. R. Leyshon. "The pathophysiological and clinical significance of TP53 in bladder cancer." Thesis, University of Newcastle Upon Tyne, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.299358.

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Asplund, Anna. "Molecular Analysis of Normal Human Skin and Basal Cell Carcinoma Using Microdissection Based Methods." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis : Univ.-bibl. [distributör], 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-5795.

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Books on the topic "Microdissection"

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Murray, Graeme I., and Stephanie Curran, eds. Laser Capture Microdissection. Totowa, NJ: Humana Press, 2005. http://dx.doi.org/10.1385/1592598536.

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Murray, Graeme I., ed. Laser Capture Microdissection. Totowa, NJ: Humana Press, 2011. http://dx.doi.org/10.1007/978-1-61779-163-5.

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Murray, Graeme I., ed. Laser Capture Microdissection. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-7558-7.

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Michael, Conn P., ed. Laser capture microscopy and microdissection. Amsterdam: Academic Press, 2002.

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Laser capture microdissection: Methods and protocols. 2nd ed. New York: Humana Press, 2011.

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Wright, Charles G., and Peter S. Roland. Cochlear Anatomy via Microdissection with Clinical Implications. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71222-2.

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J, Brownstein Michael, ed. Maps and guide to microdissection of the rat brain. New York: Elsevier, 1988.

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Palkovits, Miklós. Maps and guide to microdissection of the rat brain. New York: Elsevier, 1988.

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Benninger, Michael. Microdissection or microspot CO₂ laser for limited vocal fold benign lesions: A prospective randomized trial. Omaha, NE: Published on behalf of the Triological Society by Lippincott Williams & Williams, 2000.

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Brain microdissection techniques. Chichester - New York - Brisbane - Toronto - Singapore: John Wiley & Sons, 1985.

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Book chapters on the topic "Microdissection"

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Kristiansen, Glen. "Manual Microdissection." In Methods in Molecular Biology, 31–38. Totowa, NJ: Humana Press, 2009. http://dx.doi.org/10.1007/978-1-59745-545-9_2.

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Rabien, Anja. "Laser Microdissection." In Methods in Molecular Biology, 39–47. Totowa, NJ: Humana Press, 2009. http://dx.doi.org/10.1007/978-1-59745-545-9_3.

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Erickson, Heidi S., John W. Gillespie, and Michael R. Emmert-Buck. "Tissue Microdissection." In Methods in Molecular Biology™, 433–48. Totowa, NJ: Humana Press, 2008. http://dx.doi.org/10.1007/978-1-60327-064-9_34.

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Murray, Graeme I. "Laser Microdissection." In Springer Protocols Handbooks, 1027–37. Totowa, NJ: Humana Press, 2008. http://dx.doi.org/10.1007/978-1-60327-375-6_56.

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Faoro, Valentina, and Giorgio Stanta. "Manual Microdissection." In Guidelines for Molecular Analysis in Archive Tissues, 21–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17890-0_4.

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Kosyakova, Nadezda, Thomas Liehr, and Ahmed B. Hamid Al-Rikabi. "FISH-Microdissection." In Springer Protocols Handbooks, 81–100. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-52959-1_7.

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Rabien, Anja, and Glen Kristiansen. "Tissue Microdissection." In Methods in Molecular Biology, 39–52. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-3204-7_2.

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Youssef, A. Samy. "Microdissection Tools." In Contemporary Skull Base Surgery, 101–4. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99321-4_8.

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Curran, Stephanie, and Graeme I. Murray. "An Introduction to Laser-Based Tissue Microdissection Techniques." In Laser Capture Microdissection, 3–7. Totowa, NJ: Humana Press, 2005. http://dx.doi.org/10.1385/1-59259-853-6:003.

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Shibutani, Makoto, and Chikako Uneyama. "Methacarn Fixation for Genomic DNA Analysis in Microdissected Cells." In Laser Capture Microdissection, 11–26. Totowa, NJ: Humana Press, 2005. http://dx.doi.org/10.1385/1-59259-853-6:011.

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Conference papers on the topic "Microdissection"

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Kusakin, P. G., T. A. Serova, N. E. Gogoleva, Yu V. Gogolev, and V. E. Tsyganov. "Transcriptome analysis of pea (Pisum sativum L.) symbiotic nodules using laser capture microdissection." In 2nd International Scientific Conference "Plants and Microbes: the Future of Biotechnology". PLAMIC2020 Organizing committee, 2020. http://dx.doi.org/10.28983/plamic2020.146.

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Pawełkowicz, Magdalena Ewa, Agnieszka Skarzyńska, Cezary Kowalczuk, Wojciech Pląder, and Zbigniew Przybecki. "Laser capture microdissection to study flower morphogenesis." In Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2017, edited by Ryszard S. Romaniuk and Maciej Linczuk. SPIE, 2017. http://dx.doi.org/10.1117/12.2280776.

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Wang, Huixiang, Liguo Chen, and Lining Sun. "Research on Bio-microdissection System for Biomedicine technology." In 2006 IEEE International Conference on Mechatronics and Automation. IEEE, 2006. http://dx.doi.org/10.1109/icma.2006.257442.

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Wang Huixiang, Sun Lining, Chen Liguo, and Liu Yaxin. "Ultrasonic Vibration Microdissection System for Molecular Analysis of Tissue." In 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference. IEEE, 2005. http://dx.doi.org/10.1109/iembs.2005.1615613.

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Johann, Donald J., Ikjae Shin, Erich Peterson, Mathew Steliga, Jason Muesse, Katy Marino, Sarah Laun, et al. "Abstract 373: Advancing precision oncology by synergizing ddPCR with microdissection." In Proceedings: AACR Annual Meeting 2021; April 10-15, 2021 and May 17-21, 2021; Philadelphia, PA. American Association for Cancer Research, 2021. http://dx.doi.org/10.1158/1538-7445.am2021-373.

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Liguo Chen, Yaxin Liu, Tao Chen, and Lining Sun. "Theoretical analysis and experimental study of Ultrasonic Vibration Microdissection technology." In 2009 International Conference on Mechatronics and Automation (ICMA). IEEE, 2009. http://dx.doi.org/10.1109/icma.2009.5246504.

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Bonner, Robert F. "Laser Capture Microdissection (LCM) and the Future of Molecular Pathology." In Advances in Optical Imaging and Photon Migration. Washington, D.C.: OSA, 1998. http://dx.doi.org/10.1364/aoipm.1998.jma2.

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Ben-Yakar, Adela. "Femtosecond laser microdissection (fs-LM) for single cell RNA sequencing." In Frontiers in Ultrafast Optics: Biomedical, Scientific, and Industrial Applications XXII, edited by Peter R. Herman, Roberto Osellame, and Adela Ben-Yakar. SPIE, 2022. http://dx.doi.org/10.1117/12.2626726.

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Tangrea, Michael, Meeiyueh Liu, Adam Roberge, Kristen Noyes, Kennedy Sanders, Michael Emmert-Buck, and Donald J. Johann. "Abstract 650: Effect of antigen retrieval on immuno-based microdissection methods." In Proceedings: AACR Annual Meeting 2018; April 14-18, 2018; Chicago, IL. American Association for Cancer Research, 2018. http://dx.doi.org/10.1158/1538-7445.am2018-650.

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Moffitt, Richard A., Keith A. Volmar, Judy M. Anderson, Michael A. Hollingsworth, and Jen Jen Yeh. "Abstract A82: Virtual microdissection reveals tumor specific heterogeneity in pancreatic cancer." In Abstracts: AACR Special Conference on Pancreatic Cancer: Innovations in Research and Treatment; May 18-21, 2014; New Orleans, LA. American Association for Cancer Research, 2015. http://dx.doi.org/10.1158/1538-7445.panca2014-a82.

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Reports on the topic "Microdissection"

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Marchetti, F., and C. Manohar. Cell-Type-Specific Genome-wide Expression Profiling after Laser Capture Microdissection of Living Tissue. Office of Scientific and Technical Information (OSTI), February 2005. http://dx.doi.org/10.2172/15014606.

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Christian, A. T., M. A. Coleman, and J. D. Tucker. Gene recovery microdissection (GRM) a process for producing chromosome region-specific libraries of expressed genes. Office of Scientific and Technical Information (OSTI), February 2001. http://dx.doi.org/10.2172/15009468.

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Perelson, Alan S., AJ Kandathil, Frederik Graw, J. Quinn, HS Hwang, M. Torbenson, SC Ray, DL Thomas, Ruy M. Ribeiro, and A. Balagopal. Single Cell Laser Capture Microdissection Reveals the Hepatitis C Viral Landscape in the Human Liver. Office of Scientific and Technical Information (OSTI), December 2012. http://dx.doi.org/10.2172/1058058.

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Yendamuri, Saikrishna. Laser Capture Microdissection Assisted Identification of Epithelial MicroRNA Expression Signatures for Prognosis of Stage I NSCLC. Fort Belvoir, VA: Defense Technical Information Center, October 2013. http://dx.doi.org/10.21236/ada598453.

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Yendamuri, Saikrishna. Laser Capture Microdissection Assisted Identification of Epithelial MicroRNA Expression Signatures for Prognosis of Stage I NSCLC. Fort Belvoir, VA: Defense Technical Information Center, October 2011. http://dx.doi.org/10.21236/ada555298.

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Yendamuri, Sai. Laser Capture Microdissection Assisted Identification of Epithelial MicroRNA Expression Signatures for Prognosis of Stage I NSCLC. Fort Belvoir, VA: Defense Technical Information Center, December 2014. http://dx.doi.org/10.21236/ada621332.

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Bova, G. S. Isolation of Novel Prostate Cancer Tumor Suppressor Genes in African American and Caucasian Men thru Laser Microdissection and Representational Difference Analysis. Fort Belvoir, VA: Defense Technical Information Center, March 2001. http://dx.doi.org/10.21236/ada395866.

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