Structural features of nucleoli in blood,leukemic, lymphoma and myeloma cells

At present, it seems clear that the nucleolus is multifunctional and represents one of the key cell organelles that participate directly or indirectly in cell resting, proliferation, differentiation and maturation states, and possibly also in programmed cell death. Thus, the morphology and cytochemistry of nucleoli may represent a very useful tool not only for the evaluation of nucleolar biosynthetic activities but also for the evaluation of various cell states under physiological, experimental and pathological conditions.     

Gene discovery via metabolic profiling

Biochemical analysis is adding a new dimension to the process of gene discovery. Two major developments have recently taken place in the emerging science of biochemical genomics. The first is an approach that uses a combination of tagged fusion proteins and simple pooling strategies in order to efficiently and directly assign biochemical function to the products of open reading frames (ORFs) expressed in yeast. The second is the application of metabolic profiling technologies to the study of mutant and transgenic plants. The latter approach has the potential not only to discover novel genes but also to ascribe a function to them in the context of the organism from which they are derived.     

Gene profiling of hippocampal neuronal culture

We performed mRNA expression profiling of mouse primary hippocampal neurones undergoing differentiation in vitro. We show that 2314 genes significantly changed expression during neuronal differentiation. The temporal resolution of our experiment (six time points) permits us to distinguish between gene expression patterns characteristic for the axonal and for the dendritic stages of neurite outgrowth. Cluster analysis reveals that, in the process of in vitro neuronal differentiation, a high level of expression of genes involved in the synthesis of DNA and proteins precedes the up regulation of genes involved in protein transport, energy generation and synaptic functions. We report in detail changes in gene expression for genes involved in the synaptic vesicle cycle. Data for other genes can be accessed at our website. We directly compare expression of 475 genes in the differentiating neurones and the developing mouse hippocampus. We demonstrate that the program of gene expression is accelerated in vitro as compared to the situation in vivo. When this factor is accounted for, the gene expression profiles in vitro and in vivo become very similar (median gene-wise correlation 0.787). Apparently once the cells have taken a neuronal fate, the further program of gene expression is largely independent of histological or anatomical context. Our results also demonstrate that a comparison across the two experimental platforms (cDNA microarrays and oligonucleotide chips) and across different biological paradigms is feasible.     

Gene expression profiling of replicative and induced senescence

Cellular senescence is a cell cycle arrest accompanied by high expression of cyclin dependent kinase inhibitors which counteract overactive growth signals, which serves as a tumor suppressive mechanism. Senescence can be a result of telomere shortening (natural or replicative senescence) or DNA damage resulting from exogenous stressors (induced senescence). Here, we performed gene expression profiling through RNA-seq of replicative senescence, adriamycin-induced senescence, H₂O₂-induced senescence, and 5-aza-2-deoxycytidine-induced senescence in order to profile the pathways controlling various types of senescence. Overall, the pathways common to all 4 types of senescence were related to inflammation and the innate immune system. It was also evident that 5-aza-induced senescence mirrors natural replicative senescence due to telomere shortening. We also examined the prevalence of senescence-associated secretory phenotype (SASP) factors in the RNA-seq data, showing that it is a common characteristic of all 4 types of senescence. In addition, we could discriminate changes in gene expression due to quiescence during cellular senescence from those that were specific to senescence.     

microRNA profiling in Epstein-Barr virus-associated B-cell lymphoma

The Epstein–Barr virus (EBV) is an oncogenic human Herpes virus found in ∼15% of diffuse large B-cell lymphoma (DLBCL). EBV encodes miRNAs and induces changes in the cellular miRNA profile of infected cells. MiRNAs are small, non-coding RNAs of ∼19–26 nt which suppress protein synthesis by inducing translational arrest or mRNA degradation. Here, we report a comprehensive miRNA-profiling study and show that hsa-miR-424, -223, -199a-3p, -199a-5p, -27b, -378, -26b, -23a, -23b were upregulated and hsa-miR-155, -20b, -221, -151-3p, -222, -29b/c, -106a were downregulated more than 2-fold due to EBV-infection of DLBCL. All known EBV miRNAs with the exception of the BHRF1 cluster as well as EBV-miR-BART15 and -20 were present. A computational analysis indicated potential targets such as c-MYB, LATS2, c-SKI and SIAH1. We show that c-MYB is targeted by miR-155 and miR-424, that the tumor suppressor SIAH1 is targeted by miR-424, and that c-SKI is potentially regulated by miR-155. Downregulation of SIAH1 protein in DLBCL was demonstrated by immunohistochemistry. The inhibition of SIAH1 is in line with the notion that EBV impedes various pro-apoptotic pathways during tumorigenesis. The down-modulation of the oncogenic c-MYB protein, although counter-intuitive, might be explained by its tight regulation in developmental processes.     

Gene expression profiling: methodological challenges,results, and prospects for addiction research

This review describes the current methods used to profile gene expression. These methods include microarrays, spotted arrays, serial analysis of gene expression (SAGE), and massive parallel signature sequencing (MPSS). Methodological and statistical problems in interpreting microarray and spotted array experiments are also discussed. Methods and formats such as minimum information about microarray experiments (MIAME) needed to share gene expression data are described. The last part of the review provides an overview of the application of gene-expression profiling technology to substance abuse research and discusses future directions.     

Gene expression profiling of scrapie-infected brain tissue

The underlying pathomechanisms in prion infections of the central nervous system are still insufficiently understood. The identification of genes with altered expression patterns in the diseased brain may provide insight into the disease development on the molecular level, which ultimately leads to neuronal loss. To provide a detailed analysis of changes in the molecular level in prion disease pathology we used a large-scale gene array based approach, which covers more than 11,000 functionally characterised sequences and expressed sequence tags, for the analysis of gene expression profile alterations in the cortex, medulla, and pons of scrapie-infected mice. The study identified in total 114 genes with altered mRNA levels, the majority of which were previously not known to be affected by the disease. Overall the gene array data demonstrate the presence of a strong inflammatory reaction and stress response, and show similarities to gene expression patterns found in brains affected by Alzheimer's disease and aging, respectively.     

Gene expression profiling of cardiovascular disease models

Recent development of gene expression profiling technologies has enabled the large-scale analysis of gene expression changes during disease progression. Frequently, cardiovascular diseases involve complex interactions of multiple cell types over prolonged periods of time. A better understanding of the pathology of cardiovascular diseases and the potential identification of underlying genetic defects are currently being explored by using profiling methodologies in a number of animal and tissue-culture models.     

Gene annotation and network inference by phylogenetic profiling

Background  

Phylogenetic analysis is emerging as one of the most informative computational methods for the annotation of genes and identification of evolutionary modules of functionally related genes. The effectiveness with which phylogenetic profiles can be utilized to assign genes to pathways depends on an appropriate measure of correlation between gene profiles, and an effective decision rule to use the correlate. Current methods, though useful, perform at a level well below what is possible, largely because performance of the latter deteriorates rapidly as coverage increases.     

Gene profiling for assessment of cell-based therapies

Comment on: Soares MBP, et al. Cell Cycle 2011; 10:1448-55.     

Gene expression profiling between embryonic and larval stages of the silkworm, Bombyx mori

To elucidate the molecular mechanisms associated with metamorphic phenomenon relating to Bombyx mori, an important organism in the sericulture industry, we identified genes that are expressed in the different developmental stages, specifically the embryonic (ES) and larval (LS) stages of B. mori. Of 8230 high-quality ESTs from two full-length enriched cDNA libraries, 3442 of the ES ESTs were coalesced into 1325 clusters, while 4788 were coalesced into 927 clusters. The functional classification of these ESTs based on Gene Ontology showed that the types of genes that are associated with oxidoreductase activity, enzyme inhibition, and larval development were highly observed in LS, whereas the types of genes that are involved in nucleotide binding, enzyme activity, and protein transport activity were highly observed in ES. In addition, when the gene expression profile between ES and LS was examined by counting the EST frequencies in each library, 69 genes were identified as being either up- or down-regulated in the larval stage compared to the embryonic stage (P>0.99) and this was confirmed by semi-quantitative RT-PCR. The results show that genes involved in proteolysis and peptidolysis, and lipid and carbohydrate metabolism were dramatically up-regulated in LS, while those related to protein metabolism, DNA/RNA, and coenzymes were highly down-expressed. In particular, a GO analysis of these genes revealed that genes that are involved in hydrolase activity were observed to be highly expressed in amount as well as diversity in LS, while those involved in nucleic acid binding were highly expressed in ES. These data may contribute to elucidating genetic events that distinguish the developmental stage and to our understanding of the metamorphosis of B. mori.