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Guidelines to Statistical Analysis of Microbial Composition Data Inferred from Metagenomic Sequencing.
Odintsova V, Tyakht A, Alexeev D. Odintsova V, et al. Curr Issues Mol Biol. 2017;24:17-36. doi: 10.21775/cimb.024.017. Epub 2017 Jul 6. Curr Issues Mol Biol. 2017. PMID: 28686566 Free article.
Metagenomics, the application of high-throughput DNA sequencing for surveys of environmental samples, has revolutionized our view on the taxonomic and genetic composition of complex microbial communities. ...Here we present a researcher introduced to the field of me …
Metagenomics, the application of high-throughput DNA sequencing for surveys of environmental samples, has revolutionized our view on …
Evaluation and validation of candidate endogenous control genes for real-time quantitative PCR studies of breast cancer.
McNeill RE, Miller N, Kerin MJ. McNeill RE, et al. BMC Mol Biol. 2007 Nov 27;8:107. doi: 10.1186/1471-2199-8-107. BMC Mol Biol. 2007. PMID: 18042273 Free PMC article.
RESULTS: The expression and validity of candidate ECs (GAPDH, TFRC, ABL, PPIA, HPRT1, RPLP0, B2M, GUSB, MRPL19, PUM1 and PSMC4) was determined in 6 benign and 21 malignant primary breast cancer tissues. Gene expression data was analysed using two different statistical mode …
RESULTS: The expression and validity of candidate ECs (GAPDH, TFRC, ABL, PPIA, HPRT1, RPLP0, B2M, GUSB, MRPL19, PUM1 and PSMC4) was determin …
Methylated site display (MSD)-AFLP, a sensitive and affordable method for analysis of CpG methylation profiles.
Aiba T, Saito T, Hayashi A, Sato S, Yunokawa H, Maruyama T, Fujibuchi W, Kurita H, Tohyama C, Ohsako S. Aiba T, et al. BMC Mol Biol. 2017 Mar 9;18(1):7. doi: 10.1186/s12867-017-0083-2. BMC Mol Biol. 2017. PMID: 28279161 Free PMC article.
By MSD-AFLP analysis, we detected many CpGs showing less than 5% statistically significant tissue-specific difference and less than 10% degree of variability. ...
By MSD-AFLP analysis, we detected many CpGs showing less than 5% statistically significant tissue-specific difference and less than 1 …
Selection of reliable reference genes for gene expression studies in peach using real-time PCR.
Tong Z, Gao Z, Wang F, Zhou J, Zhang Z. Tong Z, et al. BMC Mol Biol. 2009 Jul 20;10:71. doi: 10.1186/1471-2199-10-71. BMC Mol Biol. 2009. PMID: 19619301 Free PMC article.
BACKGROUND: RT-qPCR is a preferred method for rapid and reliable quantification of gene expression studies. Appropriate application of RT-qPCR in such studies requires the use of reference gene(s) as an internal control to normalize mRNA levels between different samples fo …
BACKGROUND: RT-qPCR is a preferred method for rapid and reliable quantification of gene expression studies. Appropriate application o …
Identification of endogenous control genes for normalisation of real-time quantitative PCR data in colorectal cancer.
Kheirelseid EA, Chang KH, Newell J, Kerin MJ, Miller N. Kheirelseid EA, et al. BMC Mol Biol. 2010 Feb 1;11:12. doi: 10.1186/1471-2199-11-12. BMC Mol Biol. 2010. PMID: 20122155 Free PMC article.
BACKGROUND: Gene expression analysis has many applications in cancer diagnosis, prognosis and therapeutic care. Relative quantification is the most widely adopted approach whereby quantification of gene expression is normalised relative to an endogenously expressed control …
BACKGROUND: Gene expression analysis has many applications in cancer diagnosis, prognosis and therapeutic care. Relative quantificati …
Reference genes for normalization of gene expression studies in human osteoarthritic articular cartilage.
Pombo-Suarez M, Calaza M, Gomez-Reino JJ, Gonzalez A. Pombo-Suarez M, et al. BMC Mol Biol. 2008 Jan 29;9:17. doi: 10.1186/1471-2199-9-17. BMC Mol Biol. 2008. PMID: 18226276 Free PMC article.
We have examined ten well-known reference genes to determine the most adequate for this application. RESULTS: Analyses of expression stability in cartilage from 10 patients with hip OA, 8 patients with knee OA and 10 controls without OA were done with classical statisti
We have examined ten well-known reference genes to determine the most adequate for this application. RESULTS: Analyses of expression …
Statistical modelling of transcript profiles of differentially regulated genes.
Eastwood DC, Mead A, Sergeant MJ, Burton KS. Eastwood DC, et al. BMC Mol Biol. 2008 Jul 23;9:66. doi: 10.1186/1471-2199-9-66. BMC Mol Biol. 2008. PMID: 18651954 Free PMC article.
BACKGROUND: The vast quantities of gene expression profiling data produced in microarray studies, and the more precise quantitative PCR, are often not statistically analysed to their full potential. Previous studies have summarised gene expression profiles using simple des …
BACKGROUND: The vast quantities of gene expression profiling data produced in microarray studies, and the more precise quantitative PCR, are …
UtroUp is a novel six zinc finger artificial transcription factor that recognises 18 base pairs of the utrophin promoter and efficiently drives utrophin upregulation.
Onori A, Pisani C, Strimpakos G, Monaco L, Mattei E, Passananti C, Corbi N. Onori A, et al. BMC Mol Biol. 2013 Jan 30;14:3. doi: 10.1186/1471-2199-14-3. BMC Mol Biol. 2013. PMID: 23363418 Free PMC article.
The UtroUp DNA-binding domain contains six zinc finger motifs in tandem, which is able to recognise an 18-base-pair DNA target sequence that statistically is present only once in the human genome. To achieve a higher transcriptional activation, we coupled the UtroUp DNA-bi …
The UtroUp DNA-binding domain contains six zinc finger motifs in tandem, which is able to recognise an 18-base-pair DNA target sequence that …