Analysis of the Differential Expression Patterns of Sumoylation Enzymes E1, E2 and E3 in Ocular Cell Lines

Osteopontin-c splicing isoform activates ovarian cancer progression features. Imbalanced expression of splicing factors from serine/arginine -rich and heterogeneous ribonucleoproteins families has been correlated with the generation of oncogenic splicing isoforms. Our goal was to investigate whether there is any association between the transcriptional patterns of these splicing factors in ovarian cells and osteopontin-c expression levels. We also aimed to investigate the occurrence of these splicing factors binding sites inside osteopontin exon 4 and adjacent introns. To test associations between osteopontin-c and splicing factors expression patterns, we used an in vitro model in which OVCAR-3 cells overexpressing osteopontin-c (OVCAR-3/OPNc++) presented higher transcriptional levels of osteopontin-c than two other ovarian carcinoma cells (TOV-112D, SKOV-3) and ovarian non-tumoral cell lines (IOSE 364 and IOSE 385). The transcriptional levels of osteopontin-c, serine/arginine-rich, and hnRNP factors were evaluated using real-time polymerase chain reaction. Human Splice Finder software was used to search for putative splicing factor binding sites in osteopontin genomic regions. OVCAR-3/OPNc++ cells presented higher transcriptional levels of hnRNP than serine/arginine-rich when compared to TOV-112D, SKOV-3, and IOSE cells. TOV-112D and SKOV-3 cells also overexpressed hnRNP in relation to serine/arginine-rich transcripts. Putative binding sites for these splicing factors have been predicted on osteopontin exon 4 and their upstream and downstream intronic regions. Our data showed that higher osteopontin-c expression levels are associated with a predominance of hnRNP in relation to serine/arginine-rich transcripts and that osteopontin exon 4 and adjacent intronic sequences contain predicted binding sites for some of these tested splicing factors. In conclusion, differential expression of these splicing factors in ovarian cancer cells could be one of the putative mechanisms leading to aberrant splicing of the osteopontin primary transcript. Future work, aiming to control ovarian cancer progression by downregulating osteopontin-c levels, could include strategies that also regulate heterogeneous ribonucleoproteins and serine/arginine-rich expression levels in order to modulate osteopontin splicing.

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A global RNA-seq-driven analysis of CHO host and production cell lines reveals distinct differential expression patterns of genes contributing to recombinant antibody glycosylation

Biotechnology Journal ◽

10.1002/biot.201400652 ◽

2015 ◽

Vol 10 (9) ◽

pp. 1412-1423 ◽

Cited By ~ 17

Author(s):

Jennifer D. Könitzer ◽

Markus M. Müller ◽

Germán Leparc ◽

Martin Pauers ◽

Jan Bechmann ◽

...

Keyword(s):

Differential Expression ◽

Cell Lines ◽

Recombinant Antibody ◽

Expression Patterns ◽

Rna Seq ◽

Production Cell

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Differential expression patterns of SUMO proteins in HL-60 cancer cell lines support a role for sumoylation in the development of drug resistance

Cell and Tissue Research ◽

10.1007/s00441-009-0775-0 ◽

2009 ◽

Vol 336 (2) ◽

pp. 277-286 ◽

Cited By ~ 3

Author(s):

Margarita Vigodner ◽

Jeffrey H. Weisburg ◽

Vibha Shrivastava ◽

Rebecca A. Marmor ◽

Jennifer Fathy ◽

...

Keyword(s):

Drug Resistance ◽

Differential Expression ◽

Cell Lines ◽

Cancer Cell ◽

Expression Patterns ◽

Cancer Cell Lines

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Differential expression and correlation analysis of miRNA–mRNA profiles in swine testicular cells infected with porcine epidemic diarrhea virus

Scientific Reports ◽

10.1038/s41598-021-81189-5 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Xiaoqian Zhang ◽

Chang Li ◽

Bingzhou Zhang ◽

Zhonghua Li ◽

Wei Zeng ◽

...

Keyword(s):

Differential Expression ◽

Porcine Epidemic Diarrhea Virus ◽

Expression Profiles ◽

Expression Patterns ◽

Bacterial Invasion ◽

Sequencing Data ◽

Diarrhea Virus ◽

Comparison Groups ◽

Porcine Epidemic Diarrhea

AbstractThe variant virulent porcine epidemic diarrhea virus (PEDV) strain (YN15) can cause severe porcine epidemic diarrhea (PED); however, the attenuated vaccine-like PEDV strain (YN144) can induce immunity in piglets. To investigate the differences in pathogenesis and epigenetic mechanisms between the two strains, differential expression and correlation analyses of the microRNA (miRNA) and mRNA in swine testicular (ST) cells infected with YN15, YN144, and mock were performed on three comparison groups (YN15 vs Control, YN144 vs Control, and YN15 vs YN144). The mRNA and miRNA expression profiles were obtained using next-generation sequencing (NGS), and the differentially expressed (DE) (p-value < 0.05) mRNA and miRNA were obtained using DESeq R package. mRNAs targeted by DE miRNAs were predicted using the miRanda algortithm. 8039, 8631 and 3310 DE mRNAs, and 36, 36, and 22 DE miRNAs were identified in the three comparison groups, respectively. 14,140, 15,367 and 3771 DE miRNA–mRNA (targeted by DE miRNAs) interaction pairs with negatively correlated expression patterns were identified, and interaction networks were constructed using Cytoscape. Six DE miRNAs and six DE mRNAs were randomly selected to verify the sequencing data by real-time relative quantitative reverse transcription polymerase chain reaction (qRT-PCR). Based on bioinformatics analysis, we discovered the differences were mostly involved in host immune responses and viral pathogenicity, including NF-κB signaling pathway and bacterial invasion of epithelial cells, etc. This is the first comprehensive comparison of DE miRNA–mRNA pairs in YN15 and YN144 infection in vitro, which could provide novel strategies for the prevention and control of PED.

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The In Vivo Selection Method in Breast Cancer Metastasis

International Journal of Molecular Sciences ◽

10.3390/ijms22041886 ◽

2021 ◽

Vol 22 (4) ◽

pp. 1886

Author(s):

Jun Nakayama ◽

Yuxuan Han ◽

Yuka Kuroiwa ◽

Kazushi Azuma ◽

Yusuke Yamamoto ◽

...

Keyword(s):

Cancer Cells ◽

Cell Lines ◽

Cancer Metastasis ◽

Metastatic Cancer ◽

Expression Patterns ◽

Selection Method ◽

Gene Signatures ◽

In Vivo Selection ◽

Metastatic Cancer Cells

Metastasis is a complex event in cancer progression and causes most deaths from cancer. Repeated transplantation of metastatic cancer cells derived from transplanted murine organs can be used to select the population of highly metastatic cancer cells; this method is called as in vivo selection. The in vivo selection method and highly metastatic cancer cell lines have contributed to reveal the molecular mechanisms of cancer metastasis. Here, we present an overview of the methodology for the in vivo selection method. Recent comparative analysis of the transplantation methods for metastasis have revealed the divergence of metastasis gene signatures. Even cancer cells that metastasize to the same organ show various metastatic cascades and gene expression patterns by changing the transplantation method for the in vivo selection. These findings suggest that the selection of metastasis models for the study of metastasis gene signatures has the potential to influence research results. The study of novel gene signatures that are identified from novel highly metastatic cell lines and patient-derived xenografts (PDXs) will be helpful for understanding the novel mechanisms of metastasis.

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