Loop Protein Engineering for Improved Transglycosylation Activity of a ß-N-Acetylhexosaminidase.

Certain enzymes of the glycoside hydrolase family 20 (GH20) exert transglycosylation activity and catalyze the transfer of ß-N-acetylglucosamine (GlcNAc) from a chitobiose donor to lactose to produce lacto-N-triose II (LNT2), a key human milk oligosaccharide backbone moiety. The present work is aimed at increasing the transglycosylation activity of two selected hexosaminidases, HEX1 and HEX2, to synthesize LNT2 from lactose and chitobiose. Peptide pattern recognition analysis was used to categorize all GH20 proteins in subgroups. On this basis, we identified a series of proteins related to HEX1 and HEX2. By sequence alignment, four additional loop sequences were identified that were not present in HEX1 and HEX2. Insertion of these loop sequences into the wild-type sequences induced increased transglycosylation activity for three out of eight mutants. The best mutant, HEX1GTEPG , had a transglycosylation yield of LNT2 on the donor that was nine times higher than that of the wild-type enzyme. Homology modeling of the enzymes revealed that the loop insertion produced a more shielded substrate-binding pocket. This shielding is suggested to explain the reduced hydrolytic activity, which in turn resulted in the increased transglycosylation activity of HEX1GTEPG .

dbCAN2: a meta server for automated carbohydrate-active enzyme annotation.

Complex carbohydrates of plants are the main food sources of animals and microbes, and serve as promising renewable feedstock for biofuel and biomaterial production. Carbohydrate active enzymes (CAZymes) are the most important enzymes for complex carbohydrate metabolism. With an increasing number of plant and plant-associated microbial genomes and metagenomes being sequenced, there is an urgent need of automatic tools for genomic data mining of CAZymes. We developed the dbCAN web server in 2012 to provide a public service for automated CAZyme annotation for newly sequenced genomes. Here, dbCAN2 (http://cys.bios.niu.edu/dbCAN2) is presented as an updated meta server, which integrates three state-of-the-art tools for CAZome (all CAZymes of a genome) annotation: (i) HMMER search against the dbCAN HMM (hidden Markov model) database; (ii) DIAMOND search against the CAZy pre-annotated CAZyme sequence database and (iii) Hotpep search against the conserved CAZyme short peptide database. Combining the three outputs and removing CAZymes found by only one tool can significantly improve the CAZome annotation accuracy. In addition, dbCAN2 now also accepts nucleotide sequence submission, and offers the service to predict physically linked CAZyme gene clusters (CGCs), which will be a very useful online tool for identifying putative polysaccharide utilization loci (PULs) in microbial genomes or metagenomes.

Structure, computational and biochemical analysis of PcCel45A endoglucanase from Phanerochaete chrysosporium and catalytic mechanisms of GH45 subfamily C members.

The glycoside hydrolase family 45 (GH45) of carbohydrate modifying enzymes is mostly comprised of ß-1,4-endoglucanases. Significant diversity between the GH45 members has prompted the division of this family into three subfamilies: A, B and C, which may differ in terms of the mechanism, general architecture, substrate binding and cleavage. Here, we use a combination of X-ray crystallography, bioinformatics, enzymatic assays, molecular dynamics simulations and site-directed mutagenesis experiments to characterize the structure, substrate binding and enzymatic specificity of the GH45 subfamily C endoglucanase from Phanerochaete chrysosporium (PcCel45A). We investigated the role played by different residues in the binding of the enzyme to cellulose oligomers of different lengths and examined the structural characteristics and dynamics of PcCel45A that make subfamily C so dissimilar to other members of the GH45 family. Due to the structural similarity shared between PcCel45A and domain I of expansins, comparative analysis of their substrate binding was also carried out. Our bioinformatics sequence analyses revealed that the hydrolysis mechanisms in GH45 subfamily C is not restricted to use of the imidic asparagine as a general base in the "Newton's cradle" catalytic mechanism recently proposed for this subfamily.

Enzyme Activities at Different Stages of Plant Biomass Decomposition in Three Species of Fungus-Growing Termites.

Fungus-growing termites rely on mutualistic fungi of the genus Termitomyces and gut microbes for plant biomass degradation. Due to a certain degree of symbiont complementarity, this tripartite symbiosis has evolved as a complex bioreactor, enabling decomposition of nearly any plant polymer, likely contributing to the success of the termites as one of the main plant decomposers in the Old World. In this study, we evaluated which plant polymers are decomposed and which enzymes are active during the decomposition process in two major genera of fungus-growing termites. We found a diversity of active enzymes at different stages of decomposition and a consistent decrease in plant components during the decomposition process. Furthermore, our findings are consistent with the hypothesis that termites transport enzymes from the older mature parts of the fungus comb through young worker guts to freshly inoculated plant substrate. However, preliminary fungal RNA sequencing (RNA-seq) analyses suggest that this likely transport is supplemented with enzymes produced in situ Our findings support that the maintenance of an external fungus comb, inoculated with an optimal mixture of plant material, fungal spores, and enzymes, is likely the key to the extraordinarily efficient plant decomposition in fungus-growing termites.IMPORTANCE Fungus-growing termites have a substantial ecological footprint in the Old World (sub)tropics due to their ability to decompose dead plant material. Through the establishment of an elaborate plant biomass inoculation strategy and through fungal and bacterial enzyme contributions, this farming symbiosis has become an efficient and versatile aerobic bioreactor for plant substrate conversion. Since little is known about what enzymes are expressed and where they are active at different stages of the decomposition process, we used enzyme assays, transcriptomics, and plant content measurements to shed light on how this decomposition of plant substrate is so effectively accomplished.

Aspergillus hancockii sp. nov., a biosynthetically talented fungus endemic to southeastern Australian soils.

Aspergillus hancockii sp. nov., classified in Aspergillus subgenus Circumdati section Flavi, was originally isolated from soil in peanut fields near Kumbia, in the South Burnett region of southeast Queensland, Australia, and has since been found occasionally from other substrates and locations in southeast Australia. It is phylogenetically and phenotypically related most closely to A. leporis States and M. Chr., but differs in conidial colour, other minor features and particularly in metabolite profile. When cultivated on rice as an optimal substrate, A. hancockii produced an extensive array of 69 secondary metabolites. Eleven of the 15 most abundant secondary metabolites, constituting 90% of the total area under the curve of the HPLC trace of the crude extract, were novel. The genome of A. hancockii, approximately 40 Mbp, was sequenced and mined for genes encoding carbohydrate degrading enzymes identified the presence of more than 370 genes in 114 gene clusters, demonstrating that A. hancockii has the capacity to degrade cellulose, hemicellulose, lignin, pectin, starch, chitin, cutin and fructan as nutrient sources. Like most Aspergillus species, A. hancockii exhibited a diverse secondary metabolite gene profile, encoding 26 polyketide synthase, 16 nonribosomal peptide synthase and 15 nonribosomal peptide synthase-like enzymes.

A New Functional Classification of Glucuronoyl Esterases by Peptide Pattern Recognition.

Glucuronoyl esterases are a novel type of enzymes believed to catalyze the hydrolysis of ester linkages between lignin and glucuronoxylan in lignocellulosic biomass, linkages known as lignin carbohydrate complexes. These complexes contribute to the recalcitrance of lignocellulose. Glucuronoyl esterases are a part of the microbial machinery for lignocellulose degradation and coupling their role to the occurrence of lignin carbohydrate complexes in biomass is a desired research goal. Glucuronoyl esterases have been assigned to CAZymes family 15 of carbohydrate esterases, but only few examples of characterized enzymes exist and the exact activity is still uncertain. Here peptide pattern recognition is used as a bioinformatic tool to identify and group new CE15 proteins that are likely to have glucuronoyl esterase activity. 1024 CE15-like sequences were drawn from GenBank and grouped into 24 groups. Phylogenetic analysis of these groups made it possible to pinpoint groups of putative fungal and bacterial glucuronoyl esterases and their sequence variation. Moreover, a number of groups included previously undescribed CE15-like sequences that are distinct from the glucuronoyl esterases and may possibly have different esterase activity. Hence, the CE15 family is likely to comprise other enzyme functions than glucuronoyl esterase alone. Gene annotation in a variety of fungal and bacterial microorganisms showed that coprophilic fungi are rich and diverse sources of CE15 proteins. Combined with the lifestyle and habitat of coprophilic fungi, they are predicted to be excellent candidates for finding new glucuronoyl esterase genes.

Classification of fungal and bacterial lytic polysaccharide monooxygenases.

BACKGROUND: Lytic polysaccharide monooxygenases are important enzymes for the decomposition of recalcitrant biological macromolecules such as plant cell wall and chitin polymers. These enzymes were originally designated glycoside hydrolase family 61 and carbohydrate-binding module family 33 but are now classified as auxiliary activities 9, 10 and 11 in the CAZy database. To obtain a systematic analysis of the divergent families of lytic polysaccharide monooxygenases we used Peptide Pattern Recognition to divide 5396 protein sequences resembling enzymes from families AA9 (1828 proteins), AA10 (2799 proteins) and AA11 (769 proteins) into subfamilies. RESULTS: The results showed that the lytic polysaccharide monooxygenases have two conserved regions identified by conserved peptides specific for each AA family. The peptides were used for in silico PCR discovery of the lytic polysaccharide monooxygenases in 79 fungal and 95 bacterial genomes. The bacterial genomes encoded 0-7 AA10s (average 0.6). No AA9 or AA11 were found in the bacteria. The fungal genomes encoded 0-40 AA9s (average 7) and 0-15 AA11s (average 2) and two of the fungi possessed a gene encoding a putative AA10. The AA9s were mainly found in plant cell wall-degrading asco- and basidiomycetes in agreement with the described role of AA9 enzymes. In contrast, the AA11 proteins were found in 36 of the 39 ascomycetes and in only two of the 32 basidiomycetes and their abundance did not correlate to the degradation of cellulose and hemicellulose. CONCLUSIONS: These results provides an overview of the sequence characteristics and occurrence of the divergent AA9, AA10 and AA11 families and pave the way for systematic investigations of the of lytic polysaccharide monooxygenases and for structure-function studies of these enzymes.

Several genes encoding enzymes with the same activity are necessary for aerobic fungal degradation of cellulose in nature.

The cellulose-degrading fungal enzymes are glycoside hydrolases of the GH families and lytic polysaccharide monooxygenases. The entanglement of glycoside hydrolase families and functions makes it difficult to predict the enzymatic activity of glycoside hydrolases based on their sequence. In the present study we further developed the method Peptide Pattern Recognition to an automatic approach not only to find all genes encoding glycoside hydrolases and lytic polysaccharide monooxygenases in fungal genomes but also to predict the function of the genes. The functional annotation is an important feature as it provides a direct route to predict function from primary sequence. Furthermore, we used Peptide Pattern Recognition to compare the cellulose-degrading enzyme activities encoded by 39 fungal genomes. The results indicated that cellobiohydrolases and AA9 lytic polysaccharide monooxygenases are hallmarks of cellulose-degrading fungi except brown rot fungi. Furthermore, a high number of AA9, endocellulase and ß-glucosidase genes were identified, not in what are known to be the strongest, specialized lignocellulose degraders but in saprophytic fungi that can use a wide variety of substrates whereas only few of these genes were found in fungi that have a limited number of natural, lignocellulotic substrates. This correlation suggests that enzymes with different properties are necessary for degradation of cellulose in different complex substrates. Interestingly, clustering of the fungi based on their predicted enzymes indicated that Ascomycota and Basidiomycota use the same enzymatic activities to degrade plant cell walls.

Wet-lab tested microRNA assays for qPCR studies with SYBR® Green and DNA primers in pig tissues.

MicroRNAs are key post-transcriptional regulators of gene expression that are involved in several biological processes including those that mediate disease pathophysiology. Hence, quantifying microRNA expression levels can provide important and novel insights into disease biology. In recent years, the pig has emerged as an excellent large animal model for studying human diseases and conditions (e.g. obesity) due to similarities in organ size, gastro-intestinal tract, metabolism, immune response, genetics and the availability of relevant tissues that are not normally easily available in humans. We have previously developed two useful tools in the field of microRNA quantitative real time PCR (qPCR): 1) a very specific, sensitive and simple qPCR method based on DNA primers, MiR-specific qPCR; and 2) the free primer-design software miRprimer. The present study integrates in a publicly accessible database all available information on validated porcine microRNA qPCR assays that have utilized these tools. Due to the high phylogenetic conservation in microRNA sequence between pig, humans and other domestic species this database is a very valuable resource for the broader scientist community who are working on microRNAs and want to use readily tested qPCR assays in a simple and cost-effective manner.

Quantification of miRNAs by a simple and specific qPCR method.

MicroRNAs (miRNAs) are powerful regulators of gene expression at posttranscriptional level and play important roles in many biological processes and in disease. The rapid pace of the emerging field of miRNAs has opened new avenues for development of techniques to quantitatively determine miRNA expression levels in different systems. In this chapter we describe a PCR method for quantification of miRNAs based on a single reverse transcription reaction for all miRNAs combined with real-time PCR with two miRNA-specific DNA primers. This method quantifies synthetic templates over eight orders of magnitude and successfully discriminates miRNAs that differ by one single nucleotide. Due to the usage of DNA primers this method allows higher amplification efficiencies than a similar method based on locked nucleic acid-spiked primers. The high efficiency translates into higher sensitivity and precision in miRNA quantification. Furthermore, the method is easy to perform with common laboratory reagents, which allows miRNA quantification at low cost.

A tool for design of primers for microRNA-specific quantitative RT-qPCR.

BACKGROUND: MicroRNAs are small but biologically important RNA molecules. Although different methods can be used for quantification of microRNAs, quantitative PCR is regarded as the reference that is used to validate other methods. Several commercial qPCR assays are available but they often come at a high price and the sequences of the primers are not disclosed. An alternative to commercial assays is to manually design primers but this work is tedious and, hence, not practical for the design of primers for a larger number of targets. RESULTS: I have developed the software miRprimer for automatic design of primers for the method miR-specific RT-qPCR, which is one of the best performing microRNA qPCR methods available. The algorithm is based on an implementation of the previously published rules for manual design of miR-specific primers with the additional feature of evaluating the propensity of formation of secondary structures and primer dimers. Testing of the primers showed that 76 out of 79 primers (96%) worked for quantification of microRNAs by miR-specific RT-qPCR of mammalian RNA samples. This success rate corresponds to the success rate of manual primer design. Furthermore, primers designed by this method have been distributed to several labs and used successfully in published studies. CONCLUSIONS: The software miRprimer is an automatic and easy method for design of functional primers for miR-specific RT-qPCR. The application is available as stand-alone software that will work on the MS Windows platform and in a developer version written in the Ruby programming language.

The importance of fungi and of mycology for a global development of the bioeconomy.

The vision of the European common research programme for 2014-2020, called Horizon 2020, is to create a smarter, more sustainable and more inclusive society. However, this is a global endeavor, which is important for mycologists all over the world because it includes a special role for fungi and fungal products. After ten years of research on industrial scale conversion of biowaste, the conclusion is that the most efficient and gentle way of converting recalcitrant lignocellulosic materials into high value products for industrial purposes, is through the use of fungal enzymes. Moreover, fungi and fungal products are also instrumental in producing fermented foods, to give storage stability and improved health. Climate change will lead to increasingly severe stress on agricultural production and productivity, and here the solution may very well be that fungi will be brought into use as a new generation of agricultural inoculants to provide more robust, more nutrient efficient, and more drought tolerant crop plants. However, much more knowledge is required in order to be able to fully exploit the potentials of fungi, to deliver what is needed and to address the major global challenges through new biological processes, products, and solutions. This knowledge can be obtained by studying the fungal proteome and metabolome; the biology of fungal RNA and epigenetics; protein expression, homologous as well as heterologous; fungal host/substrate relations; physiology, especially of extremophiles; and, not the least, the extent of global fungal biodiversity. We also need much more knowledge and understanding of how fungi degrade biomass in nature.The projects in our group in Aalborg University are examples of the basic and applied research going on to increase the understanding of the biology of the fungal secretome and to discover new enzymes and new molecular/bioinformatics tools.However, we need to put Mycology higher up on global agendas, e.g. by positioning Mycology as a candidate for an OECD Excellency Program. This could pave the way for increased funding of international collaboration, increased global visibility, and higher priority among decision makers all over the world.

Specific and sensitive quantitative RT-PCR of miRNAs with DNA primers.

BACKGROUND: MicroRNAs are important regulators of gene expression at the post-transcriptional level and play an important role in many biological processes. Due to the important biological role it is of great interest to quantitatively determine their expression level in different biological settings. RESULTS: We describe a PCR method for quantification of microRNAs based on a single reverse transcription reaction for all microRNAs combined with real-time PCR with two, microRNA-specific DNA primers. Primer annealing temperatures were optimized by adding a DNA tail to the primers and could be designed with a success rate of 94%. The method was able to quantify synthetic templates over eight orders of magnitude and readily discriminated between microRNAs with single nucleotide differences. Importantly, PCR with DNA primers yielded significantly higher amplification efficiencies of biological samples than a similar method based on locked nucleic acids-spiked primers, which is in agreement with the observation that locked nucleic acid interferes with efficient amplification of short templates. The higher amplification efficiency of DNA primers translates into higher sensitivity and precision in microRNA quantification. CONCLUSIONS: MiR-specific quantitative RT-PCR with DNA primers is a highly specific, sensitive and accurate method for microRNA quantification.

MicroRNA profiling in early hypertrophic growth of the left ventricle in rats.

Pressure overload induces hypertrophic growth of the heart and in the long term this condition can lead to cardiomyopathy and heart failure. Several miRNAs are upregulated in heart failure. However, it is not clear, which miRNAs (if any) are induced during the early hypertrophic growth phase. To investigate whether the upregulation of miRNAs is an integrated part of hypertrophic growth or an effect of cardiac disease we investigated miRNA expression in early hypertrophic development. Hypertrophy was induced by banding of the ascending aorta of male rats. After 14 days, the heart left ventricle weight relative to body weight of animals with aortic banding had increased 65% compared to matched control rats. Furthermore, RNA was extracted from left ventricles and reverse transcription qPCR showed that expression of the hypertrophic markers atrial natriuretic peptide and brain natriuretic peptide was highly induced in animals with aortic banding. Out of 13 miRs that have previously been reported to be associated with late-stage pressure-overload-induced hypertrophy and heart failure only four (miR-23a, miR-27b, miR-125b and miR-195) were induced during early hypertrophic growth. These miRs were previously associated with angiogenesis and cell growth and their expression in early hypertrophic growth was accompanied by a twofold upregulation of the cell-cycle regulator cyclin D2 that is a marker of cardiac growth. Our results indicate that different miRNAs are involved in early hypertrophic growth than in late stage pressure-overload induced heart failure.

Expression profiles of miRNA-122 and its target CAT1 in minipigs (Sus scrofa) fed a high-cholesterol diet.

The Göttingen minipig is an excellent model for studying effects of dietary high-fat intake on obesity. In this study, we analyzed the expression level of microRNA-122 (miRNA-122) and its target mRNA, CAT1, in intact young male minipigs fed either high-cholesterol or standard diet for 11 wk. MiRNA-122 and CAT1 are known to be important regulators of lipid metabolism. The weight of the young minipigs was monitored once a week during the feeding period; measurements of total cholesterol, triglycerides, high-density lipoproteins, and low-density lipoproteins were recorded at 4 time points (8, 14, 16, and 19 wk of age) in fasting animals during the feeding scheme. Body weight, total cholesterol, and high-density lipoproteins were higher in pigs fed the high-cholesterol compared with the standard diet. In contrast, the level of triglycerides was lower in pigs on the high-cholesterol diet than those receiving the standard diet. Pigs fed high-cholesterol also had lower miRNA-122 levels than did those fed the standard diet. These results suggest that in our minipigs, the increase in weight and cholesterol levels resulting from subchronic (11 wk) feeding of a high-cholesterol diet is correlated with a decrease in the expression of miRNA-122, confirming the implication of this microRNA in obesity. Gene expression levels of CAT1 did not differ between groups.

Different regulation of p27 and Akt during cardiomyocyte proliferation and hypertrophy.

Postnatal cardiomyocytes normally grow by hypertrophy but show a limited proliferate response to certain stimuli. Although the proliferative capacity declines shortly after birth, neonatal cardiomyocytes can grow both by hypertrophy and by proliferation. Therefore, we have used neonatal cardiomyocytes to investigate the molecular differences between hypertrophic and proliferative growth of cardiomyocytes. Stimulation of neonatal cardiomyocytes with angiotensin II mainly induced hypertrophy, whereas PDGF only had a minor effect on the size of the myocytes. In contrast, PDGF induced significant proliferation in the cardiomyocyte cultures whereas angiotensin II treatment only resulted in a small increase in the number of cells. Measurement of cyclin D-dependent kinase specific phosphorylation of pRb by immunohistochemistry showed that, both stimuli activate the G1 phase of the cell cycle. By western blotting we found that PDGF-induced proliferation correlates with activation of Akt, inactivation of GSK-3beta and downregulation of the cyclin-dependent kinase inhibitor p27, whereas angiotensin II only had a small effect on Akt, GSK-3beta and p27. Our data support the hypothesis that, the hypertrophic and proliferative responses are both activated by G1 cell cycle molecules. The difference between the two responses appears to be that high amounts of p27 are present during hypertrophic growth, whereas proliferation involves downregulation of p27 and GSK-3beta activity and upregulation of Akt.

Increased natriuretic peptide receptor A and C gene expression in rats with pressure-overload cardiac hypertrophy.

Both atrial (ANP) and brain (BNP) natriuretic peptide affect development of cardiac hypertrophy and fibrosis via binding to natriuretic peptide receptor (NPR)-A in the heart. A putative clearance receptor, NPR-C, is believed to regulate cardiac levels of ANP and BNP. The renin-angiotensin system also affects cardiac hypertrophy and fibrosis. In this study we examined the expression of genes for the NPRs in rats with pressure-overload cardiac hypertrophy. The ANG II type 1 receptor was blocked with losartan (10 mg.kg(-1).day(-1)) to investigate a possible role of the renin-angiotensin system in regulation of natriuretic peptide and NPR gene expression. The ascending aorta was banded in 84 rats during Hypnorm/Dormicum-isoflurane anesthesia; after 4 wk the rats were randomized to treatment with losartan or placebo. The left ventricle of the heart was removed 1, 2, or 4 wk later. Aortic banding increased left ventricular expression of NPR-A and NPR-C mRNA by 110% (P < 0.001) and 520% (P < 0.01), respectively, after 8 wk; as expected, it also increased the expression of ANP and BNP mRNAs. Losartan induced a slight reduction of left ventricular weight but did not affect the expression of mRNAs for the natriuretic peptides or their receptors. Although increased gene expression does not necessarily convey a higher concentration of the protein, the data suggest that pressure overload is accompanied by upregulation of not only ANP and BNP but also their receptors NPR-A and NPR-C in the left ventricle.

Isolation and functional characterisation of two new bZIP maize regulators of the ABA responsive gene rab28.

The plant hormone abscisic acid regulates gene expression in response to growth stimuli and abiotic stress. Previous studies have implicated members of the bZIP family of transcription factors as mediators of abscisic acid dependent gene expression through the ABRE cis-element. Here, we identify two new maize bZIP transcription factors, EmBP-2 and ZmBZ-1 related to EmBP-1 and OsBZ-8 families. They are differentially expressed during embryo development; EmBP-2 is constitutive, whereas ZmBZ-1 is abscisic acid-inducible and accumulates during late embryogenesis. Both factors are nuclear proteins that bind to ABREs and activate transcription of the abscisic acid-inducible gene rab28 from maize. EmBP-2 and ZmBZ-1 are phosphorylated by protein kinase CK2 and phosphorylation alters their DNA binding properties. Our data suggest that EmBP-2 and ZmBZ-1 are involved in the expression of abscisic acid inducible genes such as rab28 and their activity is modulated by ABA and by phosphorylation.

Cyclin D2 induces proliferation of cardiac myocytes and represses hypertrophy.

The myocytes of the adult mammalian heart are considered unable to divide. Instead, mitogens induce cardiomyocyte hypertrophy. We have investigated the effect of adenoviral overexpression of cyclin D2 on myocyte proliferation and morphology. Cardiomyocytes in culture were identified by established markers. Cyclin D2 induced DNA synthesis and proliferation of cardiomyocytes and impaired hypertrophy induced by angiotensin II and serum. At the molecular level, cyclin D2 activated CDK4/6 and lead to pRB phosphorylation and downregulation of the cell cycle inhibitors p21Waf1/Cip1 and p27Kip1. Expression of the CDK4/6 inhibitor p16 inhibited proliferation and cyclin D2 overexpressing myocytes became hypertrophic under such conditions. Inhibition of hypertrophy by cyclin D2 correlated with downregulation of p27Kip1. These data show that hypertrophy and proliferation are highly related processes and suggest that cardiomyocyte hypertrophy is due to low amounts of cell cycle activators unable to overcome the block imposed by cell cycle inhibitors. Cell cycle entry upon hypertrophy may be converted to cell division by increased expression of activators such as cyclin D2.

Multiprotein bridging factor 1 cooperates with c-Jun and is necessary for cardiac hypertrophy in vitro.

Cardiac hypertrophy is induced by a number of stimuli and can lead to cardiomyopathy and heart failure. Cardiomyocyte hypertrophy is characterized by increased cell size and altered gene expression. By differential-display polymerase chain reaction and Western blotting we found that the transcriptional coactivator MBF1 was upregulated during hypertrophy in cardiomyocyte cultures. Furthermore, MBF1 protein level increased in two animal models of hypertrophy, angiotensin II treatment and aortic banding. MBF1 antisense oligodeoxynuclotides blocked phenylephrine-induced hypertrophy, suggesting MBF1 plays a key role in hypertrophic growth. In contrast, overexpression of MBF1 potentiated the hormone-induced response of the atrial natriuretic peptide promoter. MBF1 overexpressed by transient transfection cooperated with the transcription factor c-Jun in activation of transcription but not with GATA4. MBF1 and c-Jun induced the activity of a transiently transfected atrial natriuretic peptide promoter, whereas neither MBF1 nor c-Jun could induce the promoter alone. Moreover, MBF1 bound to c-Jun in vitro. These data suggest that MBF1 is a transcriptional coactivator of c-Jun regulating hypertrophic gene expression. Inhibitor studies suggested that MBF1 activates the atrial natriuretic peptide promoter independently of the calcineurin and CaMK signaling pathways. Our results indicate that MBF1 participates in hormone-induced cardiomyocyte hypertrophy and activates hypertrophic gene expression as a coactivator of c-Jun.