Mycobacterium tuberculosis cells growing in macrophages are filamentous and deficient in FtsZ rings

FtsZ, a bacterial homolog of tubulin, forms a structural element called the FtsZ ring (Z ring) at the predivisional midcell site and sets up a scaffold for the assembly of other cell division proteins. The genetic aspects of FtsZ-catalyzed cell division and its assembly dynamics in Mycobacterium tuberculosis are unknown. Here, with an M. tuberculosis strain containing FtsZ(TB) tagged with green fluorescent protein as the sole source of FtsZ, we examined FtsZ structures under various growth conditions. We found that midcell Z rings are present in approximately 11% of actively growing cells, suggesting that the low frequency of Z rings is reflective of their slow growth rate. Next, we showed that SRI-3072, a reported FtsZ(TB) inhibitor, disrupted Z-ring assembly and inhibited cell division and growth of M. tuberculosis. We also showed that M. tuberculosis cells grown in macrophages are filamentous and that only a small fraction had midcell Z rings. The majority of filamentous cells contained nonring, spiral-like FtsZ structures along their entire length. The levels of FtsZ in bacteria grown in macrophages or in broth were comparable, suggesting that Z-ring formation at midcell sites was compromised during intracellular growth. Our results suggest that the intraphagosomal milieu alters the expression of M. tuberculosis genes affecting Z-ring formation and thereby cell division.     

Discovering biological progression underlying microarray samples

In biological systems that undergo processes such as differentiation, a clear concept of progression exists. We present a novel computational approach, called Sample Progression Discovery (SPD), to discover patterns of biological progression underlying microarray gene expression data. SPD assumes that individual samples of a microarray dataset are related by an unknown biological process (i.e., differentiation, development, cell cycle, disease progression), and that each sample represents one unknown point along the progression of that process. SPD aims to organize the samples in a manner that reveals the underlying progression and to simultaneously identify subsets of genes that are responsible for that progression. We demonstrate the performance of SPD on a variety of microarray datasets that were generated by sampling a biological process at different points along its progression, without providing SPD any information of the underlying process. When applied to a cell cycle time series microarray dataset, SPD was not provided any prior knowledge of samples' time order or of which genes are cell-cycle regulated, yet SPD recovered the correct time order and identified many genes that have been associated with the cell cycle. When applied to B-cell differentiation data, SPD recovered the correct order of stages of normal B-cell differentiation and the linkage between preB-ALL tumor cells with their cell origin preB. When applied to mouse embryonic stem cell differentiation data, SPD uncovered a landscape of ESC differentiation into various lineages and genes that represent both generic and lineage specific processes. When applied to a prostate cancer microarray dataset, SPD identified gene modules that reflect a progression consistent with disease stages. SPD may be best viewed as a novel tool for synthesizing biological hypotheses because it provides a likely biological progression underlying a microarray dataset and, perhaps more importantly, the candidate genes that regulate that progression.     

Genetic Analysis of Default Mating Behavior in Saccharomyces Cerevisiae

Haploid Saccharomyces cerevisiae cells find each other during conjugation by orienting their growth toward each other along pheromone gradients (chemotropism). However, when their receptors are saturated for pheromone binding, yeast cells must select a mate by executing a default pathway in which they choose a mating partner at random. We previously demonstrated that this default pathway requires the SPA2 gene. In this report we show that the default mating pathway also requires the AXL1, FUS1, FUS2, FUS3, PEA2, RVS161, and BNI1 genes. These genes, including SPA2, are also important for efficient cell fusion during chemotropic mating. Cells containing null mutations in these genes display defects in cell fusion that subtly affect mating efficiency. In addition, we found that the defect in default mating caused by mutations in SPA2 is partially suppressed by multiple copies of two genes, FUS2 and MFA2. These findings uncover a molecular relationship between default mating and cell fusion. Moreover, because axl1 mutants secrete reduced levels of a-factor and are defective at both cell fusion and default mating, these results reveal an important role for a-factor in cell fusion and default mating. We suggest that default mating places a more stringent requirement on some aspects of cell fusion than does chemotropic mating.     

Genotypic hypervariability of melanoma: a therapeutic challenge

Cutaneous melanoma remains a management challenge. Melanoma is the leading cause of death from skin tumors worldwide. Melanoma progression is well defined in its clinical, histopathological and biological aspects, but the molecular mechanism involved and the genetic markers associated to metastatic dissemination are only beginning to be defined. The recent development of high-throughput technologies aimed at global molecular profiling of cancer is switching on the spotlight at previously unknown candidate genes involved in melanoma. Among those genes, BRAF is one of the most supposed to be of interest and targeted therapies are ongoing in clinical trials. In familial melanoma, germline mutations in two genes, CDKN2A and CDK4, that play a pivotal role in controlling cell cycle and division. It is hope that this better understanding of the biologic features of melanoma and the mechanisms underlying tumor-induced immunosuppression will lead to efficaceous targeted therapy.     

Tissue differences revealed by gene expression profiles of various cell lines

Mechanisms through which tissues are formed and maintained remain unknown but are fundamental aspects in biology. Tissue-specific gene expression is a valuable tool to study such mechanisms. But in many biomedical studies, cell lines, rather than human body tissues, are used to investigate biological mechanisms Whether or not cell lines maintain their tissue-specific characteristics after they are isolated and cultured outside the human body remains to be explored. In this study, we applied a novel computational method to identify core genes that contribute to the differentiation of cell lines from various tissues. Several advanced computational techniques, such as Monte Carlo feature selection method, incremental feature selection method, and support vector machine (SVM) algorithm, were incorporated in the proposed method, which extensively analyzed the gene expression profiles of cell lines from different tissues. As a result, we extracted a group of functional genes that can indicate the differences of cell lines in different tissues and built an optimal SVM classifier for identifying cell lines in different tissues. In addition, a set of rules for classifying cell lines were also reported, which can give a clearer picture of cell lines in different issues although its performance was not better than the optimal SVM classifier. Finally, we compared such genes with the tissue-specific genes identified by the Genotype-tissue Expression project. Results showed that most expression patterns between tissues remained in the derived cell lines despite some uniqueness that some genes show tissue specificity.     

PflI, a protein involved in flagellar positioning in Caulobacter crescentus

The bacterial flagellum is important for motility and adaptation to environmental niches. The sequence of events required for the synthesis of the flagellar apparatus has been extensively studied, yet the events that dictate where the flagellum is placed at the onset of flagellar biosynthesis remain largely unknown. We addressed this question for alphaproteobacteria by using the polarly flagellated alphaproteobacterium Caulobacter crescentus as an experimental model system. To identify candidates for a role in flagellar placement, we searched all available alphaproteobacterial genomes for genes of unknown function that cluster with early flagellar genes and that are present in polarly flagellated alphaproteobacteria while being absent in alphaproteobacteria with other flagellation patterns. From this in silico screen, we identified pflI. Loss of PflI function in C. crescentus results in an abnormally high frequency of cells with a randomly placed flagellum, while other aspects of cell polarization remain normal. In a wild-type background, a fusion of green fluorescent protein (GFP) and PflI localizes to the pole where the flagellum develops. This polar localization is independent of the flagellar protein FliF, whose oligomerization into the MS ring is thought to define the site of flagellar synthesis, suggesting that PflI acts before or independently of this event. Overproduction of PflI-GFP often leads to ectopic localization at the wrong, stalked pole. This is accompanied by a high frequency of flagellum formation at this ectopic site, suggesting that the location of PflI is a sufficient marker for a site for flagellar assembly.     

Gene expression dynamics in deer antler: mesenchymal differentiation toward chondrogenesis

Annual re-growth of deer antler represents a unique example of complete organ regeneration. Because antler mesenchymal cells retain their embryonic capacity to develop into cartilage or bone, studying antler development provides a natural system to follow gene expression changes during mesenchymal differentiation toward chondrogenic/osteogenic lineage. To identify novel genes involved either in early events of mesenchymal cell specialization or in robust bone development, we have introduced a 3 K heterologous microarray set-up (deer cDNA versus mouse template). Fifteen genes were differentially expressed; genes for housekeeping, regulatory functions (components of different signaling pathways, including FGF, TGFβ, Wnt), and genes encoding members of the Polycomb group were represented. Expression dynamics for genes are visualized by an expression logo. The expression profile of the gene C21orf70 of unknown function is described along with the effects when over-expressed; furthermore the nuclear localization of the cognate protein is shown. In this report, we demonstrate the particular advantage of the velvet antler model in bone research for: (1) identification of mesenchymal and precartilaginous genes and (2) targeting genes upregulated in robust cartilage development. Electronic supplementary material Supplementary material is available in the online version of this article at and is accessible for authorized users.     

Discovery of 342 putative new genes from the analysis of 5'-end-sequenced full-length-enriched cDNA human transcripts

In this work we describe the process that, starting with the production of human full-length-enriched cDNA libraries using the CAP-Trapper method, led us to the discovery of 342 putative new human genes. Twenty-three thousand full-length-enriched clones, obtained from various cell lines and tissues in different developmental stages, were 5'-end sequenced, allowing the identification of a pool of 5300 unique cDNAs. By comparing these sequences to various human and vertebrate nucleotide databases we found that about 40% of our clones extended previously annotated 5' ends, 662 clones were likely to represent splice variants of known genes, and finally 342 clones remained unknown, with no or poor functional annotation. cDNA-microarray gene expression analysis showed that 260 of 342 unknown clones are expressed in at least one cell line and/or tissue. Further analysis of their sequences and the corresponding genomic locations allowed us to conclude that most of them represent potential novel genes, with only a small fraction having protein-coding potential.     

Identification of essential genes in <Emphasis Type="Italic">C. jejuni</Emphasis> genome highlights hyper-variable plasticity regions

A microarray transposon-based tracking approach was used to identify Campylobacter jejuni genes which are required for cell growth at 37°C, under a microaerophilic atmosphere and on a rich Mueller–Hinton medium. A transposon-based mutant library, comprised of 7,201 individual mutants was constructed, representing 4.48× coverage of the genome. An analysis of genes lacking a transposon insertion revealed 195 essential gene candidates. The function of these genes represent many of the expected core functions of the cell, such as energy metabolism, macromolecule and cofactor biosynthesis, cell structural proteins as well as basic cell processes. Forty-nine hypothetical proteins were also identified, further underlining the importance of currently unknown proteins and pathways within C. jejuni. Unlike other bacteria, the essential genes were not uniformly distributed along the chromosome with three main regions lacking essential genes. These particular regions corresponded to known hyper-variable plasticity regions of C. jejuni genome indicating, as expected, that these regions are dispensable in any given C. jejuni strain. Overall, this work identified dispensable and essential genes in C. jejuni that will ultimately lead to a better understanding of Campylobacter physiology.     

A cell wall-oriented genomic approach reveals a new and unexpected complexity of the softening in peaches

During ripening, fleshy fruits undergo textural changes that lead to loss of tissue firmness and consequent softening. It is a common idea that this process is the consequence of cell wall dismantling carried out by different and orderly expressed enzymes. For this purpose, by using a single enzyme family approach many enzymes and related genes have been characterized in different fruits. In this work, the softening of the climacteric peach fruits (Prunus persica (L.) Batsch.) has been studied by using a genomic approach, and the results obtained are novel and partly unexpected. The genes analysed encode proteins involved in the main metabolic aspects of a primary cell wall: degradation, synthesis, structure. In addition, some genes encoding cell-wall-related proteins with an unknown function have been studied. The gene expression profiles show that the softening actually begins well before the climacteric rise and continues thereafter. Genes whose expression starts before the climacteric rise are mostly down-regulated by ethylene, while genes with a ripening-specific expression are mostly up-regulated by the hormone. A few other genes are apparently insensitive to ethylene. Besides the expected parietal degradation, the softening that results from this study also comprises some repairing of the cell wall performed by enzymes involved in the synthesis of parietal polysaccharides and, especially, by proteins with structural functions. The newly synthesized polysaccharides and the structural proteins would thus help to hold together the fruit cell wall while not preventing the softening.     

Functional identification of cytokinesis-related genes from tobacco BY-2 cells

The molecular mechanisms controlling cytokinesis in plant cell division cycle remains largely unknown. In this study, a functional approach was taken to identify genes that may play roles in cytokinesis in tobacco BY-2 cells, using fission yeast as the host organism. A total of 22 BY-2 genes that perturbed the terminal stage of cell division when ectopically expressed in yeast cells were isolated, among which, several encode for uncharacterized genes. Additionally, RT-PCR analysis indicated that four of the isolated genes were expressed in a cell cycle-dependent manner. Our results demonstrate that fission yeast system can be efficiently used to identify the genes that may function, either positively or negatively, in the regulation of cytokinesis. More importantly, the candidate genes we have isolated in this work can provide useful information for unraveling the regulators controlling cell separation at the late stage of BY-2 cell division. Yi Yu and Hai-Yun Wang contributed equally to this work.     

Distinct populations of endoderm cells converge to generate the embryonic liver bud and ventral foregut tissues

The location and movement of mammalian gut tissue progenitors, prior to the expression of tissue-specific genes, has been unknown, but this knowledge is essential to identify transitions that lead to cell type specification. To address this, we used vital dyes to label exposed anterior endoderm cells of early somite stage mouse embryos, cultured the embryos into the tissue bud phase of development, and determined the tissue fate of the dye labeled cells. This approach was performed at three embryonic stages that are prior to, or coincident with, foregut tissue patterning (1-3 somites, 4-6 somites, and 7-10 somites). Short-term labeling experiments tracked the movement of tissue progenitor cells during foregut closure. Surprisingly, we found that two distinct types of endoderm-progenitor cells, lateral and medial, arising from three spatially separated embryonic domains, converge to generate the epithelial cells of the liver bud. Whereas the lateral endoderm-progenitors give rise to descendants that are constrained in tissue fate and position along the anterior-posterior axis of the gut, the medial gut endoderm-progenitors give rise to descendants that stream along the anterior-posterior axis at the ventral midline and contribute to multiple gut tissues. The fate map reveals extensive morphogenetic movement of progenitors prior to tissue specification, it permits a detailed analysis of endoderm tissue patterning, and it illustrates that diverse progenitor domains can give rise to individual tissue cell types.     

A clock-work somite

Somites are transient structures which represent the most overt segmental feature of the vertebrate embryo. The strict temporal regulation of somitogenesis is of critical developmental importance since many segmental structures adopt a periodicity based on that of the somites. Until recently, the mechanisms underlying the periodicity of somitogenesis were largely unknown. Based on the oscillations of c-hairy1 and lunatic fringe RNA, we now have evidence for an intrinsic segmentation clock in presomitic cells. Translation of this temporal periodicity into a spatial periodicity, through somite formation, requires Notch signaling. While the Hox genes are certainly involved, it remains unknown how the metameric vertebrate axis becomes regionalized along the antero-posterior (AP) dimension into the occipital, cervical, thoracic, lumbar, and sacral domains. We discuss the implications of cell division as a clock mechanism underlying the regionalization of somites and their derivatives along the AP axis. Possible links between the segmentation clock and axial regionalization are also discussed. BioEssays 22:72-83, 2000.