Gotowe bibliografie tematyczne / Laser capture microdissection

Gotowa bibliografia na temat „Laser capture microdissection”

Autor: Grafiati

Data publikacji: 4 czerwca 2021

Data aktualizacji: 20 lutego 2023

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Artykuły w czasopismach na temat "Laser capture microdissection"

Emmert-Buck, Michael R., Robert F. Bonner, Paul D. Smith, Rodrigo F. Chuaqui, Zhengping Zhuang, Seth R. Goldstein, Rhonda A. Weiss i Lance A. Liotta. "Laser Capture Microdissection". Science 274, nr 5289 (8.11.1996): 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 i Lance A. Liotta. "Laser-capture microdissection". Nature Protocols 1, nr 2 (27.06.2006): 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 i L. Liotta. "LASER CAPTURE MICRODISSECTION". Journal of Neuropathology and Experimental Neurology 57, nr 5 (maj 1998): 505. http://dx.doi.org/10.1097/00005072-199805000-00164.

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Jensen, Ellen. "Laser-Capture Microdissection". Anatomical Record 296, nr 11 (4.10.2013): 1683–87. http://dx.doi.org/10.1002/ar.22791.

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Grant, Kenneth, i W. Gray Jerome. "Laser Capture Microdissection as an Aid to Ultrastructural Analysis". Microscopy and Microanalysis 8, nr 3 (czerwiec 2002): 170–75. http://dx.doi.org/10.1017/s143192760202010x.

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Laser capture microdissection uses a microscope to identify specific cells for microdissection and then a laser-sensitive plastic to capture and remove the cells from their substrate. This efficient capture method was originally developed to capture cells for genetic analysis. However, it has also been used to capture cells for proteonomic analysis. In this article, we extend the uses of laser-capture microdissection by reporting a method for preparing captured cells for ultrastructural analysis by transmission electron microscopy. Cells prepared by our methodology show good fine structure preservation and are easily sectioned by standard ultramicrotomy.

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Espina, Virginia, Michael Heiby, Mariaelena Pierobon i Lance A. Liotta. "Laser capture microdissection technology". Expert Review of Molecular Diagnostics 7, nr 5 (wrzesień 2007): 647–57. http://dx.doi.org/10.1586/14737159.7.5.647.

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Chokechanachaisakul, Uraiwan, Tomoatsu Kaneko, Takashi Okiji, Reika Kaneko, Hideaki Suda i Jacques E. Nör. "Laser Capture Microdissection in Dentistry". International Journal of Dentistry 2010 (2010): 1–8. http://dx.doi.org/10.1155/2010/592694.

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Laser capture microdissection (LCM) allows for the microscopic procurement of specific cell types from tissue sections that can then be used for gene expression analysis. According to the recent development of the LCM technologies and methodologies, the LCM has been used in various kinds of tissue specimens in dental research. For example, the real-time polymerase-chain reaction (PCR) can be performed from the formaldehyde-fixed, paraffin-embedded, and immunostained sections. Thus, the advance of immuno-LCM method allows us to improve the validity of molecular biological analysis and to get more accurate diagnosis in pathological field in contrast to conventional LCM. This paper is focused on the presentation and discussion of the existing literature that covers the fields of RNA analysis following LCM in dentistry.

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Fend, F. "Laser capture microdissection in pathology". Journal of Clinical Pathology 53, nr 9 (1.09.2000): 666–72. http://dx.doi.org/10.1136/jcp.53.9.666.

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Fend, Falko, Marcus Kremer i Leticia Quintanilla-Martinez. "Laser Capture Microdissection: Methodical Aspects and Applications with Emphasis on Immuno-Laser Capture Microdissection". Pathobiology 68, nr 4-5 (2000): 209–14. http://dx.doi.org/10.1159/000055925.

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Sujatha, Govindarajan, i Jayanandan Muruganandhan. "Laser Capture Microdissection in Oral Cancer". Journal of Contemporary Dental Practice 19, nr 5 (2018): 475–76. http://dx.doi.org/10.5005/jp-journals-10024-2286.

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Rozprawy doktorskie na temat "Laser capture microdissection"

Stuart, Charles A., William L. Stone, Mary E. A. Howell, Marianne F. Brannon, H. Kenton Hall, Andrew L. Gibson i 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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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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Signour, Thomas. "Extraction de signatures de bactéries par microspectroscopie Raman et chimiométrie : application à l’étude de la composition biologique des aérosols dans l’environnement". Thesis, Lille 1, 2017. http://www.theses.fr/2017LIL10152/document.

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Depuis plusieurs années, l’étude et le contrôle de la qualité de l’air sont au cœur de toutes les préoccupations. En 2012, la DGA (Direction Générale de l’Armement) met en place le programme ASTRID (Accompagnement Spécifique des Travaux de Recherches et d’Innovation Défense) accompagnant les travaux de recherche duale civile et militaire. Cette thèse s’inscrit dans cette démarche et propose d’étudier la faisabilité du concept de détection et d’identification rapides des microorganismes présents dans un échantillon d’air par microspectroscopie Raman, avec une résolution au niveau de l’espèce. Pour cela, nous construisons un modèle chimiométrique de classification des microorganismes représentatifs de la biodiversité naturelle en acquérant, sans a priori, d’une part les spectres Raman de ces microorganismes après biocollecte et étalement sur la lame d’un microspectromètre Raman, et d’autre part les séquences génomiques codant les ARN 16S de ces mêmes microorganismes.Les travaux de recherche présentés dans cette thèse présentent donc les différentes études mises en œuvre lors du développement d’un nouveau protocole permettant l’analyse des bactéries issues d’aérosols naturels environnementaux. Nous démontrons la nécessité d’optimiser l’acquisition des spectres Raman sur les bactéries et le traitement statistique des données spectrales permettant le développement de modèles de classification présentant des taux de reconnaissance élevés
For several years, the study and the control of the quality of the air are at the heart of all the concerns. In 2012, the DGA (Direction Générale de l’Armement) employs the ASTRID program (Accompagnement Spécifique des Travaux de Recherches et d’Innovation Défense), to accompany the dual civil and military research work. This thesis is part of this approach and proposes the feasibility study, by Raman microspectroscopy, of the concept of rapid detection and identification of microorganisms present in an air sample, with a resolution at the species level. For this, we construct a chemometric model for the classification of micro-organisms representative of the natural biodiversity. Such a model is built by acquiring, without a priori i) the Raman spectra of these microorganisms after biocollection; and ii) the genomic sequences encoding the 16S RNAs of these same microorganisms. The research presented in this thesis therefore presents the different studies carried out during the development of a new protocol allowing the analysis of bacteria from natural environmental aerosols. We demonstrate the need to optimize the acquisition of Raman spectra on bacteria and the statistical processing of spectral data that allows the development of classification models with high recognition rates

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Beasley, Brooke, Aubrey Sciara, Tiffani Carrasco, Gregory Dr Ordway i Michelle Dr Chandley. "Laser Capture Microdissection Analysis of Inflammatory-Related Alterations in Postmortem Brain Tissue of Autism Spectrum Disorder". Digital Commons @ East Tennessee State University, 2019. https://dc.etsu.edu/asrf/2019/schedule/34.

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Autism spectrum disorder (ASD) is a social, sensory and developmental condition that affects one in 59 children and specifically one in 42 boys. Despite the 15% increase in prevalence in the last two years, there is no specific etiology, objective diagnostic criteria, or drug treatment. However, up-regulation of inflammation in ASD patients has been demonstrated in blood samples. Increased peripheral inflammation could have devastating effects on the developing brain. Peripheral inflammation in the blood could cross the blood-brain-barrier to stimulate microglia in the brain to produce aberrant levels of cytokines that regulate neuroinflammation such as insulin-like growth factor one (IGF1) that could alter neuronal cell-surface expression and neurotransmission. Additionally, arginase serves as a marker of inflammation, produced and expressed during cellular remodeling during brain injury. A balance of neurotransmitters, glutamate and gamma-aminobutyric acid (GABA), is critical to facilitate inter-regional signaling in the brain. Alterations of inflammatory molecules and the effects on glutamatergic neurons ability to uptake GABA in certain brain areas is currently unknown in ASD. Pathological changes in brain areas associated with social behaviors have been identified in postmortem tissue from ASD donors when compared to typically developing (TD) age and gender matched control tissue, as well as, in imaging scans of living individuals with ASD. We hypothesize that expression of inflammatory related molecules are increased in the identified brain areas related to symptoms of ASD and can be associated with altered gene expression changes in neurons as shown by gamma-aminobutyric acid type A receptor alpha 1 subunit (GABRA1). Dysfunction of GABRA1 on glutamatergic neurons could disrupt the typical neuronal balance of glutamate and GABA signaling. Inflammatory markers, IGF1 and insulin-like growth factor one receptor (IGF1R), were evaluated using quantitative polymerase chain reaction (QPCR). Additionally, IGF1 and arginase were evaluated using immunohistochemistry in both white and gray matter from the anterior cingulate cortex (ACC). Laser capture microdissection (LCM) was used to obtain single cell captures of glutamatergic neurons. IGF1R and GABRA1 gene expression was measured using end point PCR. A significant increase in IGF1 expression was obtained in the white matter punch in comparison to typically developed age-matched subjects using QPCR during initial statistical significance, however, was ultimately not significant. Additionally, IGF1R expression was significantly increased in ASD neurons in comparison to TD subjects utilizing the LCM method. However, a decrease expression in GABRA1 trended significance indicating a possible alteration in the neuron’s ability to facilitate proper signaling. These findings are the foundation of future investigations of signaling pathways in ASD that may uncover cell-specific etiologies and drug therapies for a condition that is only projected to increase in prevalence.

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Tan, Jing [Verfasser], i Thomas [Akademischer Betreuer] Klopstock. "Laser capture microdissection of single muscle fibers for mitochondrial proteomic investigations / Jing Tan ; Betreuer: Thomas Klopstock". München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2019. http://d-nb.info/1205664874/34.

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Ordway, Gregory A., Attila Szebeni, Michelle M. Duffourc i Katalin Szebeni. "Laser Capture Microdissection and RT- PCR Analyses of Specific Cell Types in Locus Coeruleus From Postmortem Human Brain". Digital Commons @ East Tennessee State University, 2007. https://dc.etsu.edu/etsu-works/8624.

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Morphological studies have shown pathology of neurons and glia in many brain disorders, including psychiatric disorders such as major depression. However, most biochemical characterizations of postmortem human brain tissue have not made a distinction between neurons and glia. Laser capture microdissection (LCM) to isolate specific cell types has the potential to advance our understanding of human brain pathologies. Here, RT-PCR was used to evaluate the utility of LCM in the capture of noradrenergic neurons, astrocytes and oligodendrocytes from the locus coeruleus (LC) of postmortem human brain. The 3 LC cell types were individually identified using modifications of established histological and morphological methods. LCM settings were optimized for each cell type and captured cell bodies were those having no nearby cell body of a different phenotype. LC neurons (200), astrocytes (500), and oligodendrocytes (500) were captured within the LC from 3 postmortem brains. RNA was isolated, reversed transcribed, and markers for neurons (tyrosine hydroxylase [TH], dopamine beta-hydroxylase [DBH]), astrocytes (glial fibrillary acidic protein [GFAP]), and oligodendrocytes (myelin oligodendrocyte glycoprotein [MOG]), along with 3 references (actin, GAPDH, ubiquitin C) were PCR amplified and quantified by standardized end-point PCR. RNA quality as assessed by RIN was not altered by LCM as compared to RNA isolated from homogenized tissue. TH gene expression was found only in neurons in 2 of the 3 brains. DBH gene expression was ~5-fold greater in neurons than in astrocytes and oligodendrocytes. GFAP gene expression in astrocytes was 7- and 5-fold greater than that in neurons and oligodendrocytes, respectively. MOG gene expression was only detected in oligodendrocytes. Different expression ratios of marker genes between neurons and glia suggest that simple cross contamination of mRNA is unlikely. Glial cells may contain DBH mRNA. Alternatively, DBH, but not TH, mRNA may occur in neuronal dendrites or axons in close association with glial cells that become captured with glia during LCM. GFAP may be expressed in low levels in neurons and oligodendrocytes, or alternatively, GFAP mRNA may be located in astrocytic processes in close association with neuronal and oligodendrocyte cell bodies. Use of a single marker to identify a cell type may be insufficient; other cell types for comparison or additional markers may be required. Multiple well-characterized markers can be used to evaluate clarity of cell capture for each sample. With due regard for specific limitations, LCM can be used to evaluate the molecular pathology of specific cell types in postmortem human brain.

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Ordway, Gregory A., Attila Szebeni, Craig A. Stockmeier, Michelle M. Duffourc i Katalin Szebeni. "Glial Deficits in the Noradrenergic Locus Coeruleus in Major Depression Revealed by Laser Capture Microdissection and Quantitative PCR". Digital Commons @ East Tennessee State University, 2008. https://dc.etsu.edu/etsu-works/8625.

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Bartel, Jan [Verfasser]. "Laser Capture Microdissection in Paraffin eingebetteter Gewebe als Werkzeug zur Bestimmung des Sialylierungsstatus von ausgewählten Zellpopulationen / Jan Bartel". Gießen : Universitätsbibliothek, 2017. http://d-nb.info/1141574675/34.

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Jumper, Natalie. "Application of a site-specific in situ approach to keloid disease research". Thesis, University of Manchester, 2016. https://www.research.manchester.ac.uk/portal/en/theses/application-of-a-sitespecific-in-situ-approach-to-keloid-disease-research(f0a9bcae-93f0-4335-8839-afa5747f40d6).html.

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Keloid disease (KD) is a cutaneous fibroproliferative tumour characterised by heterogeneity, locally aggressive invasion and therapeutic resistance. Clinical, histological and molecular differences between the keloid scar centre and margin as well as recent evidence of the importance of epithelial-mesenchymal interactions (EMI) in KD pathobiology contribute to the complexity and diversity of KD, which coupled with the lack of a validated animal model have hindered research and effective management. Despite significant progress in the field of KD research, reliance on conventional monolayer cell culture and whole tissue analysis methods have failed to fully reflect the natural architecture, pathology and complexity of KD in vivo. In order to address these challenges, a site-specific in situ approach was therefore employed here for the first time in KD research. The first aim of this work was to compare the value of this contemporary approach with traditional methods of tissue dissection. The second aim was to compare the genomic expression between well-defined, distinct keloid sites and normal skin (NS). The third aim was to develop and explore hypotheses arising from this site-specific gene expression profiling approach, so as to enhance understanding of KD pathobiology as a basis for improved diagnostic and therapeutic strategies in future KD management. The fourth aim was to probe these hypotheses with relevant functional in vitro studies. The current site-specific in situ approach was achieved through a combination of laser capture microdissection and whole genome microarray, allowing separation of epidermis from dermis for keloid centre, margin and extralesional sites compared with NS. This in situ approach yielded selective, accurate and sensitive data, exposing genes that were overlooked with alternative methods of dissection. Identification of significant upregulation of the aldo-keto reductase enzyme AKR1B10 in all three sites of the keloid epidermis (KE) in situ, implicated dysregulation of the retinoic acid (RA) pathway in KD pathogenesis. This hypothesis was supported by showing that induced AKR1B10 overexpression in NS keratinocytes reproduced the keloid RA pathway expression pattern. Moreover, co-transfection with a luciferase reporter plasmid revealed reduced RA response element activity. Paracrine signals released by AKR1B10-overexpressing keratinocytes into conditioned medium resulted in TGFβ1 and collagen upregulation in keloid fibroblasts, suggesting the disturbed RA metabolism exerts a pro-fibrotic effect through pathological EMI, thus further supporting the hypothesis of RA deficiency in KE. Gene expression profiling further revealed an upregulation of NRG1 and ErbB2 in keloid margin dermis. Exogenous NRG1 led to enhanced keloid fibroblast migration with increased Src and PTK2 expression, which were attenuated with ErbB2 siRNA studies. Together with the observed failure to recover this expression with NRG1 treatment, suggested the novel KD pathobiology hypothesis that NRG1/ErbB2/Src/PTK2 signaling plays a role in migration at the keloid margin. In addition to these hypotheses, LCM methodology with comprehensive analysis of the data permitted the development of additional novel working hypotheses that will inform future KD research, including inflammatory gene dysregulation and cancer-like stem cells that may contribute to the therapeutic resistance characteristic of KD.

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Ordway, Gregory A., Attila Szebeni, Michelle M. Duffourc, Sophie Dessus-Babus i Katalin Szebeni. "Gene Expression Analyses of Neurons, Astrocytes, and Oligodendrocytes Isolated by Laser Capture Microdissection From Human Brain: Detrimental Effects of Laboratory Humidity". Digital Commons @ East Tennessee State University, 2009. https://dc.etsu.edu/etsu-works/8606.

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Laser capture microdissection (LCM) is a versatile computer-assisted dissection method that permits collection of tissue samples with a remarkable level of anatomical resolution. LCM's application to the study of human brain pathology is growing, although it is still relatively underutilized, compared with other areas of research. The present study examined factors that affect the utility of LCM, as performed with an Arcturus Veritas, in the study of gene expression in the human brain using frozen tissue sections. LCM performance was ascertained by determining cell capture efficiency and the quality of RNA extracted from human brain tissue under varying conditions. Among these, the relative humidity of the laboratory where tissue sections are stained, handled, and submitted to LCM had a profound effect on the performance of the instrument and on the quality of RNA extracted from tissue sections. Low relative humidity in the laboratory, i.e., 6-23%, was conducive to little or no degradation of RNA extracted from tissue following staining and fixation and to high capture efficiency by the LCM instrument. LCM settings were optimized as described herein to permit the selective capture of astrocytes, oligodendrocytes, and noradrenergic neurons from tissue sections containing the human locus coeruleus, as determined by the gene expression of cell-specific markers. With due regard for specific limitations, LCM can be used to evaluate the molecular pathology of individual cell types in post-mortem human brain.

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Książki na temat "Laser capture microdissection"

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

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Murray, Graeme I., red. 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., red. 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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Laser capture microdissection: Methods and protocols. Wyd. 2. New York: Humana Press, 2011.

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

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Murray, Graeme I. Laser Capture Microdissection: Methods and Protocols. Humana Press, 2016.

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Laser Capture Microdissection: Methods and Protocols. Humana, 2018.

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Murray, Graeme I. Laser Capture Microdissection: Methods and Protocols. Springer New York, 2019.

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Conn, P. Michael. Laser Capture in Microscopy and Microdissection. Elsevier Science & Technology Books, 2002.

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(Editor), Graeme I. Murray, i Stephanie Curran (Editor), red. Laser Capture Microdissection: Methods and Protocols (Methods in Molecular Biology). Humana Press, 2004.

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Części książek na temat "Laser capture microdissection"

Curran, Stephanie, i Graeme I. Murray. "An Introduction to Laser-Based Tissue Microdissection Techniques". W 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, i Chikako Uneyama. "Methacarn Fixation for Genomic DNA Analysis in Microdissected Cells". W 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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Patrick, H. "Multiplex Quantitative Real-Time PCR of Laser Microdissected Tissue". W Laser Capture Microdissection, 27–38. Totowa, NJ: Humana Press, 2005. http://dx.doi.org/10.1385/1-59259-853-6:027.

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Callagy, Grace, Lucy Jackson i Carlos Caldas. "comparative Genomic Hybridization Using DNA From Laser Capture Microdissected Tissue". W Laser Capture Microdissection, 40–56. Totowa, NJ: Humana Press, 2005. http://dx.doi.org/10.1385/1-59259-853-6:040.

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Dillon, Deborah, Karl Zheng, Brina Negin i José Costa. "Detection of Ki-ras and p53 Mutations by Laser Capture Microdissection/PCR/SSCP". W Laser Capture Microdissection, 57–67. Totowa, NJ: Humana Press, 2005. http://dx.doi.org/10.1385/1-59259-853-6:057.

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Feltmate, Colleen M., i Samuel C. Mok. "Whole-Genome Allelotyping Using Laser Microdissected Tissue". W Laser Capture Microdissection, 69–78. Totowa, NJ: Humana Press, 2005. http://dx.doi.org/10.1385/1-59259-853-6:069.

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Hartmann, Arndt, Robert Stoehr, Peter J. Wild, Wolfgang Dietmaier i Ruth Knuechel. "Microdissection for Detecting Genetic Aberrations in Early and Advanced Human Urinary Bladder Cancer". W Laser Capture Microdissection, 79–92. Totowa, NJ: Humana Press, 2005. http://dx.doi.org/10.1385/1-59259-853-6:079.

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Wild, Peter J., Robert Stoehr, Ruth Knuechel, Arndt Hartmann i Wolfgang Dietmaier. "Laser Microdissection for Microsatellite Analysis in Colon and Breast Cancer". W Laser Capture Microdissection, 93–102. Totowa, NJ: Humana Press, 2005. http://dx.doi.org/10.1385/1-59259-853-6:093.

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Tallini, Giovanni, i Guilherme Brandao. "Assessment of RET/PTC Oncogene Activation in Thyroid Nodules Utilizing Laser Microdissection Followed by Nested RT-PCR". W Laser Capture Microdissection, 103–12. Totowa, NJ: Humana Press, 2005. http://dx.doi.org/10.1385/1-59259-853-6:103.

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Mette, Lise, i Stephen Hamilton-Dutoit. "Laser-Assisted Microdissection of Membrane-Mounted Tissue Sections". W Laser Capture Microdissection, 127–38. Totowa, NJ: Humana Press, 2005. http://dx.doi.org/10.1385/1-59259-853-6:127.

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Streszczenia konferencji na temat "Laser capture microdissection"

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

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Kusakin, P. G., T. A. Serova, N. E. Gogoleva, Yu V. Gogolev i V. E. Tsyganov. "Transcriptome analysis of pea (Pisum sativum L.) symbiotic nodules using laser capture microdissection". W 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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Bonner, Robert F. "Laser Capture Microdissection (LCM) and the Future of Molecular Pathology". W 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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Paduano, Vincenzo, Maria Teresa De Angelis, Geppino Falco i Michele Ceccarelli. "Fully automated organ bud detection and segmentation for Laser Capture Microdissection applications". W 2011 IEEE International Conference on Imaging Systems and Techniques (IST). IEEE, 2011. http://dx.doi.org/10.1109/ist.2011.5962211.

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Jones, Dylan T., Tanguy Lechertier, John Herbert, Roy Bicknell, Louise J. Jones, Adrian L. Harris i Kairbaan Hodivala-Dilke. "Abstract 4848: Genetic profile of invasive breast cancer vasculature using laser capture microdissection (LCM) to capture vessels". W 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.am2011-4848.

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Baldelli, Elisa, Vienna Ludovini, Lucio Crinò, Lance Liotta, Emanuel Petricoin i Mariaelena Pierobon. "Abstract 1994: Impact of laser capture microdissection on cancer signaling proteins and phosphoproteins". W Proceedings: AACR 106th Annual Meeting 2015; April 18-22, 2015; Philadelphia, PA. American Association for Cancer Research, 2015. http://dx.doi.org/10.1158/1538-7445.am2015-1994.

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Gardner, H., P. Nuciforo, W. Liu, B. Lee, J. Rheinhardt, C. Barrett, R. Linnartz i in. "PI3 Kinase Pathway Analysis in Tissue Microarrays Using Laser Capture Microdissection and Immunohistochemistry." W Abstracts: Thirty-Second Annual CTRC‐AACR San Antonio Breast Cancer Symposium‐‐ Dec 10‐13, 2009; San Antonio, TX. American Association for Cancer Research, 2009. http://dx.doi.org/10.1158/0008-5472.sabcs-09-4043.

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Chuan-Yu Shen, Jen-Ai Lee i Chien-Ming Chen. "The development of a thermoplastic film for laser capture microdissection system with near field tips". W 2005 IEEE LEOS Annual Meeting. IEEE, 2005. http://dx.doi.org/10.1109/leos.2005.1547895.

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Haggart, Ross, Chaxiraxi Arzola-Donate, Elliott Harrison, Benjamin J. Reed, Saba Alzabin i Gino Miele. "Abstract 1677: Immuno-target selection of infiltrating immune cells and laser capture microdissection mediated transcriptional profiling". W 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.am2017-1677.

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Mueller, C., E. Ahrman, L. Eriksson, K. Wassilew, H. Schultz, H. Brunnstroem, M. Perch, M. Iversen, J. Malmstroem i G. Westergren-Thorsson. "Laser-capture microdissection, mass spectrometry and immunohistochemistry reveal pathologic alterations in the extracellular matrix of transplanted lungs". W ERS International Congress 2018 abstracts. European Respiratory Society, 2018. http://dx.doi.org/10.1183/13993003.congress-2018.lsc-1108.

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Raporty organizacyjne na temat "Laser capture microdissection"

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

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Perelson, Alan S., AJ Kandathil, Frederik Graw, J. Quinn, HS Hwang, M. Torbenson, SC Ray, DL Thomas, Ruy M. Ribeiro i A. Balagopal. Single Cell Laser Capture Microdissection Reveals the Hepatitis C Viral Landscape in the Human Liver. Office of Scientific and Technical Information (OSTI), grudzień 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, październik 2013. http://dx.doi.org/10.21236/ada598453.

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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, grudzień 2014. http://dx.doi.org/10.21236/ada621332.

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