Molecular Cloning and Characterization of RNF26 on Human Chromosome 11q23 Region, Encoding a Novel RING Finger Protein with Leucine Zipper

Katoh, Masaru

doi:10.1006/bbrc.2001.4671

Cited by 11 publications

(15 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At the chromosomal region 11q23.3, the genes FOXR1 (Forkhead box family of transcription factors), BCL9L (BCL9‐like), HYOU1 (hypoxia up‐regulated 1), MCAM (melanoma adhesion molecule), RNF26 (ring finger protein), and the oncogene CBL are located. RNF26 is a ring finger protein, known to be up‐regulated in various cancer cell lines, including gastric cancer 26. MCAM and HYOU1 are genes already known to be associated with tumour progression and the development of metastasis in human malignant melanoma and tumour invasiveness in the breast, respectively 27, 28.…”

Section: Discussionmentioning

confidence: 99%

Gastric cancers in young and elderly patients show different genomic profiles

Buffart

Carvalho

Hopmans

et al. 2006

The Journal of Pathology

View full text Add to dashboard Cite

Although most gastric cancers occur in elderly patients, a substantial number of cases of this common disease occur in young patients. Gastric cancer is a heterogeneous disease at the genomic level and different patterns of DNA copy number alterations are associated with different clinical behaviour. The aim of the present study was to explore differences in DNA copy number alterations in relation to age of onset of gastric cancer. DNA isolated from 46 paraffin-embedded gastric cancer tissue samples from 17 patients less than 50 years of age [median 43 (21-49) years] and 29 patients greater than or equal to 70 years of age [median 75 (70-83) years] was analysed by genome-wide microarray comparative genomic hybridization (array CGH) using an array of 5000 BAC clones. Patterns of DNA copy number aberrations were analysed by hierarchical cluster analysis of the mode-normalized and smoothed log(2) ratios of tumour to normal reference fluorescence signal intensities using TMEV software, after which cluster membership was correlated with age group. In addition, supervised analysis was performed using CGH Multi-array. Hierarchical cluster analysis of the array CGH data revealed three clusters with different genomic profiles that correlated significantly with age (p = 0.006). Cluster 1 mainly contained young patients, while elderly patients were divided over clusters 2 and 3. Chromosome regions 11q23.3 and 19p13.3 contributed most to age-related differences in tumour profiles. Gastric cancers of young and old patients belong to groups with different genomic profiles, which likely reflect different pathogenic mechanisms of the disease.

show abstract

Section: Discussionmentioning

confidence: 99%

Gastric cancers in young and elderly patients show different genomic profiles

Buffart

Carvalho

Hopmans

et al. 2006

The Journal of Pathology

View full text Add to dashboard Cite

show abstract

“…Of these, genes such as NFATC1, which is an oncogene 57 and ACKR3 (6719 and 6721 degrees/links respectively), which is involved in tumour development and metastasis in many tumours 58 , are recognized as potential therapeutic targets. Other interesting genes include WNT10A, which promotes ESCC migration and invasion 59 and RNF26 which is expected to be involved in carcinogenesis, but needs further investigation 60 .…”

Section: Resultsmentioning

confidence: 99%

Tracking Cancer Genetic Evolution using OncoTrack

Talukder¹,

Agarwal²,

Buetow

et al. 2016

Sci Rep

View full text Add to dashboard Cite

It is difficult for existing methods to quantify, and track the constant evolution of cancers due to high heterogeneity of mutations. However, structural variations associated with nucleotide number changes show repeatable patterns in localized regions of the genome. Here we introduce SPKMG, which generalizes nucleotide number based properties of genes, in statistical terms, at the genome-wide scale. It is measured from the normalized amount of aligned NGS reads in exonic regions of a gene. SPKMG values are calculated within OncoTrack. SPKMG values being continuous numeric variables provide a statistical metric to track DNA level changes. We show that SPKMG measures of cancer DNA show a normative pattern at the genome-wide scale. The analysis leads to the discovery of core cancer genes and also provides novel dynamic insights into the stage of cancer, including cancer development, progression, and metastasis. This technique will allow exome data to also be used for quantitative LOH/CNV analysis for tracking tumour progression and evolution with a higher efficiency.

show abstract

“…Together these data revealed transcriptional changes that were induced in OPCs by exposure to the CSF of MS patients, regardless of the disease-type, but not by the CSF of patients with other neurological diseases. Of the genes similarly regulated by exposure to the CSF from the RRMS or PPMS group, we noted Pcyt1a , a gene involved in lipid metabolism 19 and Rnf26 , a gene encoding for a transcriptional regulator 20 (Figure 4A). Transcripts uniquely induced by the CSF from RRMS included Ppt1 encoding for a protein involved in lipid catabolism 21 and Pla2g7 a gene encoding for phospholipase A2, group VII (platelet-activating factor acetylhydrolase, plasma) which uses phosphatidylcholine as substrate to generate lysophosphatidylcholine and arachidonic acid 22 (Figure 4B).…”

Section: Resultsmentioning

confidence: 99%

“…Data were extracted using the Feature Extraction Software (Agilent). Statistical analysis was conducted after background noise correction using NormExp method 20 . Differential expression analysis was carried out on non-control probes with an empirical Bayes approach on linear models (Smyth G.K., 2004).…”

Section: Methodsmentioning

confidence: 99%

Multiple sclerosis patient-derived CSF induces transcriptional changes in proliferating oligodendrocyte progenitors

et al. 2015

View full text Add to dashboard Cite

BACKGROUND Cerebrospinal fluid is in contact with brain parenchyma and ventricles, and its composition might influence the cellular physiology of oligodendrocyte progenitor cells (OPCs) thereby contributing to disease pathogenesis. OBJECTIVE To identify the transcriptional changes that distinguish the transcriptional response induced in proliferating rat OPCs upon exposure to CSF from PPMS or RRMS patients and other neurological controls. METHODS We performed gene microarray analysis of OPCs exposed to CSF from neurological controls, or definitive RRMS or PPMS disease course. Results were confirmed by qRT-PCR, immunocytochemistry and western blot of cultured cells and validated in human brain specimens. RESULTS We identified common and unique genes for each treatment group. Exposure to CSF from PPMS uniquely induced branching of cultured progenitors and related transcriptional changes, including up-regulation (p < 0.05) of the adhesion molecule GALECTIN-3/Lgals3, which was also detected at the protein level in brain specimens from PPMS patients. However it also resulted in discordant patterns of gene expression when compared with the transcriptional program of oligodendrocyte differentiation during development. CONCLUSIONS Despite evidence of morphological differentiation induced by exposure to CSF of PPMS patients, the overall transcriptional response elicited in cultured OPCs was consistent with the activation of an aberrant transcriptional program.

show abstract

Molecular Cloning and Characterization of RNF26 on Human Chromosome 11q23 Region, Encoding a Novel RING Finger Protein with Leucine Zipper

Cited by 11 publications

References 27 publications

Gastric cancers in young and elderly patients show different genomic profiles

Gastric cancers in young and elderly patients show different genomic profiles

Tracking Cancer Genetic Evolution using OncoTrack

Multiple sclerosis patient-derived CSF induces transcriptional changes in proliferating oligodendrocyte progenitors

Contact Info

Product

Resources

About