Results 1 to 10 of about 16,273 (193)

Reference gene validation for gene expression normalization in canine osteosarcoma: a geNorm algorithm approach [PDF]

BMC Veterinary Research, 2017
Quantitative PCR (qPCR) is a common method for quantifying mRNA expression. Given the heterogeneity present in tumor tissues, it is crucial to normalize target mRNA expression data using appropriate reference genes that are stably expressed under a variety of pathological and experimental conditions.
Selvarajah, Gayathri Thevi, Bonestroo, Floor A. S., Timmermans Sprang, Elpetra P. M., Kirpensteijn, Jolle, Mol, Jan A.   +4 more
doaj   +6 more sources

GenORM: Generalizable One-shot Rope Manipulation with Parameter-Aware Policy [PDF]

, 2023
Due to the inherent uncertainty in their deformability during motion, previous methods in rope manipulation often require hundreds of real-world demonstrations to train a manipulation policy for each rope, even for simple tasks such as rope goal reaching, which hinder their applications in our ever-changing world.
Kuroki, So, Guo, Jiaxian, Matsushima, Tatsuya, Okubo, Takuya, Kobayashi, Masato, Ikeda, Yuya, Takanami, Ryosuke, Yoo, Paul, Matsuo, Yutaka, Iwasawa, Yusuke   +9 more
openaire   +3 more sources

A simple method to assess group difference in RT-qPCR reference gene selection using GeNorm: The case of the placental sex [PDF]

Placenta, 2017
AbstractNormalization with proper reference genes is a crucial step in obtaining accurate mRNA expression levels in RT-qPCR experiments. GeNorm and NormFinder are two commonly used software packages that help in selecting the best reference genes, based on their expression stability.
Joey St-Pierre, Jean-Charles Grégoire, Cathy Vaillancourt   +2 more
  +8 more sources

GeneChip, geNorm, and gastrointestinal tumors: novel reference genes for real-time PCR [PDF]

Physiological Genomics, 2007
Accurate quantitation of target genes depends on correct normalization. Use of genes with variable tissue transcription ( GAPDH) is problematic, particularly in clinical samples, which are derived from different tissue sources. Using a large-scale gene database (Affymetrix U133A) data set of 36 gastrointestinal (GI) tumors and normal tissues, we ...
Mark, Kidd, Boaz, Nadler, Shrikant, Mane, Geeta, Eick, Maximillian, Malfertheiner, Manish, Champaneria, Roswitha, Pfragner, Irvin, Modlin   +7 more
openaire   +3 more sources

Selection of Reference Genes for Quantitative Real-time PCR Analysis in Canine Mammary Tumors Using the GeNorm Algorithm [PDF]

Veterinary Pathology, 2006
Eleven reference genes (18s ribosomal ribonucleic acid [RNA], 28s ribosomal RNA, ubiquitin, beta-actin, glycerine aldehyde dehydrogenase, ATP-synthase subunit 5B, hydroxymethylbilane synthase, hypoxanthine-phosphoribosyl transferase, ribosomal protein L32, tryptophan 5monooxygenase activation protein (zeta polypeptide), and TATA-Box binding protein ...
B, Etschmann, B, Wilcken, K, Stoevesand, A, von der Schulenburg, A, Sterner-Kock   +4 more
openaire   +3 more sources

Effective Alu repeat based RT-qPCR normalization in cancer cell perturbation experiments [PDF]

, 2013
Background: Measuring messenger RNA (mRNA) levels using the reverse transcription quantitative polymerase chain reaction (RT-qPCR) is common practice in many laboratories.
Beckers, Anneleen, De Brouwer, Sara, Kumps, Candy, Leonelli, Carina, Mestdagh, Pieter, Mets, Evelien, Pattyn, Filip, Rihani, Ali, Rondou, Pieter, Speleman, Franki, Van der Meulen, Joni, Van Maerken, Tom, Van Peer, Gert, Vandesompele, Jo   +13 more
core   +20 more sources

Reference gene selection and RNA preservation protocol in the cat flea, Ctenocephalides felis, for gene expression studies [PDF]

, 2016
This work was supported by a Knowledge Transfer Network BBSRC Industrial Case (#414 BB/L502467/1) studentship in association Zoetis Inc.Peer ...
Baird, John, Bowman, Alan S, Campbell, Ewan M, McIntosh, Catriona H, Woods, Debra J., Zinser, Erich   +5 more
core   +1 more source

Validation of suitable internal control genes for expression studies in aging. [PDF]

, 2009
Quantitative data from experiments of gene expression are often normalized through levels of housekeeping genes transcription by assuming that expression of these genes is highly uniform. This practice is being questioned as it becomes increasingly clear
Bacalini, MARIA GIULIA, Burkle, A, Caiafa, Paola, Calabrese, Roberta, Chevanne, M, Ciccarone, Fabio, Guastafierro, Tiziana, MORENO VILLANUEVA, M, Reale, Anna, Zampieri, Michele   +9 more
core   +1 more source

Methylation-dependent PAD2 upregulation in multiple sclerosis peripheral blood [PDF]

, 2012
Background: Peptidylarginine deiminase 2 (PAD2) and peptidylarginine deiminase 4 (PAD4) are two members of PAD family which are over-expressed in the multiple sclerosis (MS) brain.
ANNIBALI, Viviana, CAIAFA, Paola, CALABRESE, ROBERTA, CICCARONE, FABIO, COARELLI, GIULIA, GUASTAFIERRO, Tiziana, MECHELLI, Rosella, SALVETTI, Marco, UMETON, RENATO, ZAMPIERI, Michele   +9 more
core   +1 more source

A novel and universal method for microRNA RT-qPCR data normalization [PDF]

, 2009
Gene expression analysis of microRNA molecules is becoming increasingly important. In this study we assess the use of the mean expression value of all expressed microRNAs in a given sample as a normalization factor for microRNA real-time quantitative PCR
De Weer, An, Mestdagh, Pieter, Muth, Daniel, Speleman, Franki, Van Vlierberghe, Pieter, Vandesompele, Jo, Westermann, Frank   +6 more
core   +2 more sources