scholarly journals Dominant-Negative Proteins in Herpesviruses – From Assigning Gene Function to Intracellular Immunization

Viruses ◽  
2009 ◽  
Vol 1 (3) ◽  
pp. 420-440 ◽  
Author(s):  
Hermine Mühlbach ◽  
Christian Mohr ◽  
Zsolt Ruzsics ◽  
Ulrich Koszinowski
2018 ◽  
Vol 1 (5) ◽  
pp. e201800157 ◽  
Author(s):  
Tommaso Tabaglio ◽  
Diana HP Low ◽  
Winnie Koon Lay Teo ◽  
Pierre Alexis Goy ◽  
Piotr Cywoniuk ◽  
...  

The extent of and the oncogenic role played by alternative splicing (AS) in cancer are well documented. Nonetheless, only few studies have attempted to dissect individual gene function at an isoform level. Here, we focus on the AS of splicing factors during prostate cancer progression, as these factors are known to undergo extensive AS and have the potential to affect hundreds of downstream genes. We identified exon 7 (ex7) in the MBNL1 (Muscleblind-like 1) transcript as being the most differentially included exon in cancer, both in cell lines and in patients' samples. In contrast, MBNL1 overall expression was down-regulated, consistently with its described role as a tumor suppressor. This observation holds true in the majority of cancer types analyzed. We first identified components associated to the U2 splicing complex (SF3B1, SF3A1, and PHF5A) as required for efficient ex7 inclusion and we confirmed that this exon is fundamental for MBNL1 protein homodimerization. We next used splice-switching antisense oligonucleotides (AONs) or siRNAs to compare the effect of MBNL1 splicing isoform switching with knockdown. We report that whereas the absence of MBNL1 is tolerated in cancer cells, the expression of isoforms lacking ex7 (MBNL1 Δex7) induces DNA damage and inhibits cell viability and migration, acting as dominant negative proteins. Our data demonstrate the importance of studying gene function at the level of alternative spliced isoforms and support our conclusion that MBNL1 Δex7 proteins are antisurvival factors with a defined tumor suppressive role that cancer cells tend to down-regulate in favor of MBNL +ex7 isoforms.


2013 ◽  
Author(s):  
Christopher J. Barnum ◽  
Malu G. Tansey ◽  
Andrew H. Miller

2015 ◽  
Vol 122 (03) ◽  
Author(s):  
S Letz ◽  
M Gllaudo ◽  
M Quinkler ◽  
U Bogner ◽  
C Haag ◽  
...  

2013 ◽  
Author(s):  
Valentina Rossi ◽  
Daniela Visconti ◽  
Rosa Cristina De ◽  
Ciro Abbondanza ◽  
Iolanda Cioffi ◽  
...  
Keyword(s):  

2018 ◽  
Author(s):  
Audrey Melvin ◽  
Brian Lam ◽  
Claudia Langenberg ◽  
Maura Agostini ◽  
Erik Schoenmakers ◽  
...  

Diabetes ◽  
1998 ◽  
Vol 47 (8) ◽  
pp. 1231-1235 ◽  
Author(s):  
K. Yamagata ◽  
Q. Yang ◽  
K. Yamamoto ◽  
H. Iwahashi ◽  
J. Miyagawa ◽  
...  

2007 ◽  
Vol 30 (4) ◽  
pp. 86
Author(s):  
M. Lanktree ◽  
J. Robinson ◽  
J. Creider ◽  
H. Cao ◽  
D. Carter ◽  
...  

Background: In Dunnigan-type familial partial lipodystrophy (FPLD) patients are born with normal fat distribution, but subcutaneous fat from extremities and gluteal regions are lost during puberty. The abnormal fat distribution leads to the development of metabolic syndrome (MetS), a cluster of phenotypes including hyperglycemia, dyslipidemia, hypertension, and visceral obesity. The study of FPLD as a monogenic model of MetS may uncover genetic risk factors of the common MetS which affects ~30% of adult North Americans. Two molecular forms of FPLD have been identified including FPLD2, resulting from heterozygous mutations in the LMNA gene, and FPLD3, resulting from both heterozygous dominant negative and haploinsufficiency mutations in the PPARG gene. However, many patients with clinically diagnosed FPLD have no mutation in either LMNA or PPARG, suggesting the involvement of additional genes in FPLD etiology. Methods: Here, we report the results of an Affymetrix 10K GeneChip microarray genome-wide linkage analysis study of a German kindred displaying the FPLD phenotype and no known lipodystrophy-causing mutations. Results: The investigation identified three chromosomal loci, namely 1q, 3p, and 9q, with non-parametric logarithm of odds (NPL) scores >2.7. While not meeting the criteria for genome-wide significance, it is interesting to note that the 1q and 3p peaks contain the LMNA and PPARG genes respectively. Conclusions: Three possible conclusions can be drawn from these results: 1) the peaks identified are spurious findings, 2) additional genes physically close to LMNA, PPARG, or within 9q, are involved in FPLD etiology, or 3) alternative disease causing mechanisms not identified by standard exon sequencing approaches, such as promoter mutations, alternative splicing, or epigenetics, are also responsible for FPLD.


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