Multiple Markers in Gynaecological Tumours1

1981 ◽  
pp. 66-72
Author(s):  
Markku Seppälä ◽  
Torsten Wahlström ◽  
Eeva-Marja Rutanen ◽  
Jan Lindgren
Keyword(s):  
Multiple Markers

scholarly journals Novel approach for quantification of multiple immunofluorescent signals using histograms and 2D plot profiling of whole-section panoramic images

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Roko Duplancic ◽  
Darko Kero
Keyword(s):  
Histological Section ◽  
Cell Counting ◽  
Tissue Samples ◽  
Spatial Gradients ◽  
Multiple Markers ◽  
Novel Approach ◽  
Academic Settings ◽  
Panoramic Images ◽  
Multiple Regions ◽  
Staining Protocol

AbstractWe describe a novel approach for quantification and colocalization of immunofluorescence (IF) signals of multiple markers on high-resolution panoramic images of serial histological sections utilizing standard staining techniques and readily available software for image processing and analysis. Human gingiva samples stained with primary antibodies against the common leukocyte antigen CD45 and factors related to heparan sulfate glycosaminoglycans (HS GAG) were used. Expression domains and spatial gradients of IF signals were quantified by histograms and 2D plot profiles, respectively. The importance of histomorphometric profiling of tissue samples and IF signal thresholding is elaborated. This approach to quantification of IF staining utilizes pixel (px) counts and comparison of px grey value (GV) or luminance. No cell counting is applied either to determine the cellular content of a given histological section nor the number of cells positive to the primary antibody of interest. There is no selection of multiple Regions-Of-Interest (ROIs) since the entire histological section is quantified. Although the standard IF staining protocol is applied, the data output enables colocalization of multiple markers (up to 30) from a given histological sample. This can serve as an alternative for colocalization of IF staining of multiple primary antibodies based on repeating cycles of staining of the same histological section since those techniques require non standard staining protocols and sophisticated equipment that can be out of reach for small laboratories in academic settings. Combined with the data from ontological bases, this approach to quantification of IF enables creation of in silico virtual disease models.

Are multiple markers the future of prostate cancer diagnostics?

2004 ◽  
Vol 37 (7) ◽  
pp. 519-528 ◽  
Author(s):  
Stephen D. Mikolajczyk ◽  
Yong Song ◽  
James R. Wong ◽  
Robert S. Matson ◽  
Harry G. Rittenhouse
Keyword(s):  
Prostate Cancer ◽  
Cancer Diagnostics ◽  
Multiple Markers ◽  
The Future

scholarly journals Genotyping Error Detection Through Tightly Linked Markers

Genetics ◽  
2003 ◽  
Vol 164 (3) ◽  
pp. 1161-1173
Author(s):  
Guohua Zou ◽  
Deyun Pan ◽  
Hongyu Zhao
Keyword(s):  
Error Detection ◽  
Complex Disease ◽  
Disease Genes ◽  
Genotyping Error ◽  
Genotyping Errors ◽  
Detection Rates ◽  
Nuclear Families ◽  
Additional Information ◽  
Number Of Children ◽  
Multiple Markers

Abstract The identification of genotyping errors is an important issue in mapping complex disease genes. Although it is common practice to genotype multiple markers in a candidate region in genetic studies, the potential benefit of jointly analyzing multiple markers to detect genotyping errors has not been investigated. In this article, we discuss genotyping error detections for a set of tightly linked markers in nuclear families, and the objective is to identify families likely to have genotyping errors at one or more markers. We make use of the fact that recombination is a very unlikely event among these markers. We first show that, with family trios, no extra information can be gained by jointly analyzing markers if no phase information is available, and error detection rates are usually low if Mendelian consistency is used as the only standard for checking errors. However, for nuclear families with more than one child, error detection rates can be greatly increased with the consideration of more markers. Error detection rates also increase with the number of children in each family. Because families displaying Mendelian consistency may still have genotyping errors, we calculate the probability that a family displaying Mendelian consistency has correct genotypes. These probabilities can help identify families that, although showing Mendelian consistency, may have genotyping errors. In addition, we examine the benefit of available haplotype frequencies in the general population on genotyping error detections. We show that both error detection rates and the probability that an observed family displaying Mendelian consistency has correct genotypes can be greatly increased when such additional information is available.

scholarly journals Identification of QTLs of resistance to white mold in common bean from multiple markers by using Bayesian analysis

2015 ◽  
Vol 14 (1) ◽  
pp. 1124-1135 ◽  
Author(s):  
L.A.C. Lara ◽  
J.B. Santos ◽  
M. Balestre ◽  
I.A. Lima ◽  
A.K.A. Pamplona ◽  
...  
Keyword(s):  
Bayesian Analysis ◽  
Common Bean ◽  
White Mold ◽  
Multiple Markers

scholarly journals Use of multiple markers demonstrates a cryptic western refugium and postglacial colonisation routes of Atlantic salmon (Salmo salar L.) in northwest Europe

Heredity ◽  
2013 ◽  
Vol 111 (1) ◽  
pp. 34-43 ◽  
Author(s):  
A K Finnegan ◽  
A M Griffiths ◽  
R A King ◽  
G Machado-Schiaffino ◽  
J-P Porcher ◽  
...  
Keyword(s):  
Atlantic Salmon ◽  
Salmo Salar ◽  
Multiple Markers ◽  
Atlantic Salmon Salmo Salar ◽  
Northwest Europe ◽  
Postglacial Colonisation

Advantages of multiple markers and polar body analysis in preimplantation genetic diagnosis for Alagille disease

2007 ◽  
Vol 27 (4) ◽  
pp. 317-321 ◽  
Author(s):  
P. Renbaum ◽  
B. Brooks ◽  
Y. Kaplan ◽  
T. Eldar-Geva ◽  
E J. Margalioth ◽  
...  
Keyword(s):  
Preimplantation Genetic Diagnosis ◽  
Polar Body ◽  
Genetic Diagnosis ◽  
Multiple Markers ◽  
Polar Body Analysis

Real Time Breath Analysis of Multiple Markers of Respiratory Disease.

2009 ◽  
Author(s):  
JH Shorter ◽  
DD Nelson ◽  
MS Zahniser ◽  
JB McManus ◽  
DK Milton ◽  
...  
Keyword(s):  
Real Time ◽  
Respiratory Disease ◽  
Breath Analysis ◽  
Multiple Markers

ASSESSMENT OF MULTIPLE MARKERS OF ENVIRONMENTAL TOBACCO SMOKE (ETS) IN CONTROLLED, STEADY-STATE ATMOSPHERES IN A DYNAMIC TEST CHAMBER

AIHAJ ◽  
1992 ◽  
Vol 53 (11) ◽  
pp. 699-704 ◽  
Author(s):  
Roy J. Rando ◽  
Prem K. Menon ◽  
Halet G. Poovey ◽  
Samuel B. Lehrer
Keyword(s):  
Steady State ◽  
Environmental Tobacco Smoke ◽  
Tobacco Smoke ◽  
Test Chamber ◽  
Dynamic Test ◽  
Multiple Markers
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