Structural changes of Arthrospira sp. after low energy sonication treatment for microalgae harvesting: Elucidating key parameters to detect the rupture of gas vesicles.

The buoyancy suppression by low energy sonication (LES) treatment (0.8W·mL-1, 20kHz, 10s) has recently been proposed as an initial harvesting step for Arthrospira sp. This paper aims to describe the structural changes in Arthrospira sp. after LES treatment and to present how these structural changes affect the results obtained by different analytical techniques. Transmission electron microscopy (TEM) micrographs of trichomes evidenced the gas vesicles rupture but also revealed a rearrangement of thylakoids and more visible phycobilisomes were observed. Differences between treated and untreated samples were detected by confocal microscopy, flow cytometry and optical microscopy but not by electrical impedance spectroscopy (EIS). After LES treatment, 2-fold increase in autofluorescence at 610/660nm was measured (phycocyanin/allophycocyanin emission wavelengths) and a ten-fold decrease in side scatter light intensity (due to a reduction of trichome's inner complexity). This was further confirmed by optical microscopy showing changes on trichomes appearance (from wrinkled to smooth).

Efficient ethanol production from brown macroalgae sugars by a synthetic yeast platform.

The increasing demands placed on natural resources for fuel and food production require that we explore the use of efficient, sustainable feedstocks such as brown macroalgae. The full potential of brown macroalgae as feedstocks for commercial-scale fuel ethanol production, however, requires extensive re-engineering of the alginate and mannitol catabolic pathways in the standard industrial microbe Saccharomyces cerevisiae. Here we present the discovery of an alginate monomer (4-deoxy-L-erythro-5-hexoseulose uronate, or DEHU) transporter from the alginolytic eukaryote Asteromyces cruciatus. The genomic integration and overexpression of the gene encoding this transporter, together with the necessary bacterial alginate and deregulated native mannitol catabolism genes, conferred the ability of an S. cerevisiae strain to efficiently metabolize DEHU and mannitol. When this platform was further adapted to grow on mannitol and DEHU under anaerobic conditions, it was capable of ethanol fermentation from mannitol and DEHU, achieving titres of 4.6% (v/v) (36.2 g l(-1)) and yields up to 83% of the maximum theoretical yield from consumed sugars. These results show that all major sugars in brown macroalgae can be used as feedstocks for biofuels and value-added renewable chemicals in a manner that is comparable to traditional arable-land-based feedstocks.

The transcriptional program underlying the physiology of clostridial sporulation.

BACKGROUND: Clostridia are ancient soil organisms of major importance to human and animal health and physiology, cellulose degradation, and the production of biofuels from renewable resources. Elucidation of their sporulation program is critical for understanding important clostridial programs pertaining to their physiology and their industrial or environmental applications. RESULTS: Using a sensitive DNA-microarray platform and 25 sampling timepoints, we reveal the genome-scale transcriptional basis of the Clostridium acetobutylicum sporulation program carried deep into stationary phase. A significant fraction of the genes displayed temporal expression in six distinct clusters of expression, which were analyzed with assistance from ontological classifications in order to illuminate all known physiological observations and differentiation stages of this industrial organism. The dynamic orchestration of all known sporulation sigma factors was investigated, whereby in addition to their transcriptional profiles, both in terms of intensity and differential expression, their activity was assessed by the average transcriptional patterns of putative canonical genes of their regulon. All sigma factors of unknown function were investigated by combining transcriptional data with predicted promoter binding motifs and antisense-RNA downregulation to provide a preliminary assessment of their roles in sporulation. Downregulation of two of these sigma factors, CAC1766 and CAP0167, affected the developmental process of sporulation and are apparently novel sporulation-related sigma factors. CONCLUSION: This is the first detailed roadmap of clostridial sporulation, the most detailed transcriptional study ever reported for a strict anaerobe and endospore former, and the first reported holistic effort to illuminate cellular physiology and differentiation of a lesser known organism.

A systems-biology analysis of isogenic megakaryocytic and granulocytic cultures identifies new molecular components of megakaryocytic apoptosis.

BACKGROUND: The differentiation of hematopoietic stem cells into platelet-forming megakaryocytes is of fundamental importance to hemostasis. Constitutive apoptosis is an integral, yet poorly understood, facet of megakaryocytic (Mk) differentiation. Understanding Mk apoptosis could lead to advances in the treatment of Mk and platelet disorders. RESULTS: We used a Gene-ontology-driven microarray-based transcriptional analysis coupled with protein-level and activity assays to identify genes and pathways involved in Mk apoptosis. Peripheral blood CD34+ hematopoietic progenitor cells were induced to either Mk differentiation or, as a negative control without observable apoptosis, granulocytic differentiation. Temporal gene-expression data were analyzed by a combination of intra- and inter-culture comparisons in order to identify Mk-associated genes. This novel approach was first applied to a curated set of general Mk-related genes in order to assess their dynamic transcriptional regulation. When applied to all apoptosis associated genes, it revealed a decrease in NF-kappaB signaling, which was explored using phosphorylation assays for IkappaBalpha and p65 (RELA). Up-regulation was noted among several pro-apoptotic genes not previously associated with Mk apoptosis such as components of the p53 regulon and TNF signaling. Protein-level analyses probed the involvement of the p53-regulated GADD45A, and the apoptosis signal-regulating kinase 1 (ASK1). Down-regulation of anti-apoptotic genes, including several of the Bcl-2 family, was also detected. CONCLUSION: Our comparative approach to analyzing dynamic large-scale transcriptional data, which was validated using a known set of Mk genes, robustly identified candidate Mk apoptosis genes. This led to novel insights into the molecular mechanisms regulating apoptosis in Mk cells.

A model-based optimization framework for the inference of regulatory interactions using time-course DNA microarray expression data.

BACKGROUND: Proteins are the primary regulatory agents of transcription even though mRNA expression data alone, from systems like DNA microarrays, are widely used. In addition, the regulation process in genetic systems is inherently non-linear in nature, and most studies employ a time-course analysis of mRNA expression. These considerations should be taken into account in the development of methods for the inference of regulatory interactions in genetic networks. RESULTS: We use an S-system based model for the transcription and translation process. We propose an optimization-based regulatory network inference approach that uses time-varying data from DNA microarray analysis. Currently, this seems to be the only model-based method that can be used for the analysis of time-course "relative" expressions (expression ratios). We perform an analysis of the dynamic behavior of the system when the number of experimental samples available is varied, when there are different levels of noise in the data and when there are genes that are not considered by the experimenter. Our studies show that the principal factor affecting the ability of a method to infer interactions correctly is the similarity in the time profiles of some or all the genes. The less similar the profiles are to each other the easier it is to infer the interactions. We propose a heuristic method for resolving networks and show that it displays reasonable performance on a synthetic network. Finally, we validate our approach using real experimental data for a chosen subset of genes involved in the sporulation cascade of Bacillus anthracis. We show that the method captures most of the important known interactions between the chosen genes. CONCLUSION: The performance of any inference method for regulatory interactions between genes depends on the noise in the data, the existence of unknown genes affecting the network genes, and the similarity in the time profiles of some or all genes. Though subject to these issues, the inference method proposed in this paper would be useful because of its ability to infer important interactions, the fact that it can be used with time-course DNA microarray data and because it is based on a non-linear model of the process that explicitly accounts for the regulatory role of proteins.

Gene expression analysis illuminates the transcriptional programs underlying the functional activity of ex vivo-expanded granulocytes.

Global gene expression analysis established the temporal expression patterns and programs underlying the development of functional activity of ex vivo-expanded (EXE) human granulocytes, as well as differences compared with peripheral blood (PB) granulocytes. CD34(+) progenitor cells were cultured for 3 wk to induce rapid expansion and granulocytic differentiation, with 40% CD15(+) cells by day 3 and 90% by day 12. Phagocytic and respiratory burst activity increased with the fraction of CD15(++)CD11b(+) cells (myelocytes to segmented) and peaked by day 17. However, only 25% of CD15(++)CD11b(+) cells were phagocytic, and respiratory burst activity was one-third that of PB granulocytes. EXE granulocytes from later days and PB granulocytes showed similar expression of Fc gamma receptors (-1A, -2A, -2C, -3A) and complement receptors (-1, -3, -4). Later downregulation of CD36 (expressed by macrophages) suggests lineage plasticity early in granulocytic differentiation. Expression in mature EXE and PB granulocytes was similar for most Fc gamma receptor-mediated phagocytosis signaling proteins, including high-level expression of Hck, Fgr, and the actin-related protein 2/3 complex. Lower expression of Lyn, Cdc42, pleckstrin, and PKC beta(I) by EXE granulocytes may explain decreased phagocytosis. PB and mature EXE granulocytes expressed similar levels of NADPH oxidase complex genes and receptors for fMLP-mediated respiratory burst. Lower burst activity by EXE granulocytes may result from lower expression of Raf1 and PKC zeta. Elevated expression of toll-like receptor (TLR)2, TLR1, and CD14 in mature EXE and PB granulocytes supports a role for the TLR2 and CD14 pathway in zymosan-mediated respiratory burst activity. Lower activity in EXE granulocytes may be due to greater expression of IRAK3, which inhibits TLR-mediated signaling.

A general framework for designing and validating oligomer-based DNA microarrays and its application to Clostridium acetobutylicum.

While DNA microarray analysis is widely accepted as an essential tool for modern biology, its use still eludes many researchers for several reasons, especially when microarrays are not commercially available. In that case, the design, construction, and use of microarrays for a sequenced organism constitute substantial, time-consuming, and expensive tasks. Recently, it has become possible to construct custom microarrays using industrial manufacturing processes, which offer several advantages, including speed of manufacturing, quality control, no up-front setup costs, and need-based microarray ordering. Here, we describe a strategy for designing and validating DNA microarrays manufactured using a commercial process. The 22K microarrays for the solvent producer Clostridium acetobutylicum ATCC 824 are based on in situ-synthesized 60-mers employing the Agilent technology. The strategy involves designing a large library of possible oligomer probes for each target (i.e., gene or DNA sequence) and experimentally testing and selecting the best probes for each target. The degenerate C. acetobutylicum strain M5 lacking the pSOL1 megaplasmid (with 178 annotated open reading frames [genes]) was used to estimate the level of probe cross-hybridization in the new microarrays and to establish the minimum intensity for a gene to be considered expressed. Results obtained using this microarray design were consistent with previously reported results from spotted cDNA-based microarrays. The proposed strategy is applicable to any sequenced organism.

A comparative genomic view of clostridial sporulation and physiology.

Clostridia are anaerobic, endospore-forming prokaryotes that include strains of importance to human and animal health and physiology, cellulose degradation, solvent production and bioremediation. Their differentiation and related developmental programmes are not well understood at the molecular level. Recent genome sequencing and transcriptional-profiling studies have offered a glimpse of their inner workings and indicate that a better understanding of the orchestration of the molecular events that underlie their unique physiology, capabilities and diversity will pay major dividends.

Diffusion, mixing, and associated dye effects in DNA-microarray hybridizations.

Typical DNA microarrays utilize diffusion of dye-labeled cDNA probes followed by sequence-specific hybridization to immobilized targets. Here we experimentally estimated the distance typical probes travel during static 16-h hybridizations. Probes labeled with Cy3 and Cy5 were individually introduced to opposite sides of a microarray with minimal convective mixing. Oppositely labeled probes diffused across the initial front separating the two solutions, generating a zone with both dyes present. Diffusion-distance estimates for Cy3- and Cy5-labeled cDNAs were 3.8 mm and 2.6 mm, respectively, despite having almost identical molecular masses. In separate 16-h hybridization experiments with oppositely labeled probes premixed, arrays that were continuously mixed had 15-20% higher signal intensities than arrays hybridized statically. However, no change was observed in the Cy3/Cy5 signal intensity ratio between continuously mixed and static hybridizations. This suggests that the observed dye bias in diffusion-distance estimates results from differences in the detection limits of Cy3 and Cy5-labeled cDNA, a potential concern for array data on low-abundance transcripts. Our conservative diffusion-distance estimates indicate that replicate targets >7.6 mm apart will not compete for scarce probes. Also, raising the microarray gap height would delay the onset of diffusion-limited hybridization by increasing the amount of available probe.

Molecular insights into the pleiotropic effects of plasma on ex vivo-expanded T cells using DNA-microarray analysis.

OBJECTIVE: Immunotherapy with ex vivo-expanded T cells depends on a large supply of biologically active cells. Understanding the effects of culture parameters is essential for improving cell expansion and efficacy. We used DNA-microarray and flow-cytometric analysis coupled with functional assays to investigate mechanistic aspects of plasma supplementation in ex vivo T-cell expansion. METHODS: The effect of plasma supplementation on 18 primary T-cell cultures over a 15-day expansion was investigated. Transcriptional analysis of 5 samples was done with time points every 2 to 3 days throughout the 15-day expansion. Quantitative RT-PCR analysis was used to confirm selected microarray data. The expression of granzyme A and vimentin were analyzed using intracellular flow cytometry. T-cell functionality was assessed using a mixed leukocyte reaction (MLR). RESULTS: We show that the increased expansion of plasma-supplemented cultures of primary human T cells is mostly due to increased cell survival. T cells from plasma-supplemented cultures show higher expression of immunoglobulin genes, integrins, and genes of cytotoxic granules, suggesting a possible enhanced immune function. This was confirmed using a mixed leukocyte reaction and intracellular granzyme-A measurements. A distinct gene expression pattern was correlated to viability differences between plasma-supplemented and serum-free cultures. Ontological analysis of genes in this pattern suggests that the decreased viability of serum-free cultures correlates with higher expression of actin-cytoskeleton and lipid-metabolism genes. Vimentin was found to be expressed higher in serum-free cultures. CONCLUSIONS: These results indicate that the observed decreased cytotoxicity of T cells cultured in serum-free media may be due to increased oxidative stress and cytoskeleton degradation.

Molecular understanding of oxygen-tension and patient-variability effects on ex vivo expanded T cells.

Immunotherapy with ex vivo cultured T cells depends on a large supply of biologically active cells. Understanding the effects of culture parameters is essential for improving the proliferation and efficacy of the expanded cells. Low oxygen tension (5% pO(2)) was previously reported to improve T-cell expansion and alter cellular phenotypic characteristics compared to T cells cultured at 20% pO(2). Here we report the use of DNA-array based transcriptional analysis coupled with protein-level analysis to provide molecular insights into pO(2) and patient-variability effects on expanded primary human T cells. Analysis of seven blood samples showed that reduced pO(2) results in higher expression of genes important in lymphocyte biology, immune function, and cell-cycle progression. 20% pO(2) resulted in higher expression of genes involved in stress response, cell death, and cellular repair. Expression of granzyme A (gzmA) was found to be significantly regulated by oxygen tension with cells at 5% pO(2) having greater gzmA expression than at 20% pO(2). Protein-level analysis of gzmA was consistent with transcriptional analysis. Granzyme K (gzmK) was coexpressed with gzmA, whereas Granzyme B (gzmB) expression was found to precede the expression of both gzmA and gzmK in 15-day cultures. Temporal gene expression patterns for seven blood samples demonstrate that most genes are expressed by all patient samples in similar temporal patterns. However, several patient-specific gene clusters were identified, and one cluster was found to correlate well with cell proliferation and may potentially be used to predict patient-specific T-cell expansion.

Transcriptional organization of the Clostridium acetobutylicum genome.

Prokaryotic genes are frequently organized in multicistronic operons (or transcriptional units, TUs), and usually the regulatory motifs for the whole TU are located upstream of the first TU gene. Although the number of sequenced genomes has increased dramatically, experimental information on TU organization is extremely limited. Even for organisms as extensively studied as Escherichia coli and Bacillus subtilis, TU annotation is far from complete. It therefore becomes imperative to rely on computational approaches to complement experimental information. Here we present a TU map for the obligate anaerobe Clostridium acetobutylicum ATCC 824. This map is largely based on the distance between pairs of consecutive genes but enhanced and refined by predictions of several types of promoters (sigmaA, sigmaE and sigmaF/G) and rho-independent terminator structures. Based on the set of known C.acetobutylicum TUs, the presented TU map offers an 88% prediction accuracy.

DNA array-based transcriptional analysis of asporogenous, nonsolventogenic Clostridium acetobutylicum strains SKO1 and M5.

The large-scale transcriptional program of two Clostridium acetobutylicum strains (SKO1 and M5) relative to that of the parent strain (wild type [WT]) was examined by using DNA microarrays. Glass DNA arrays containing a selected set of 1,019 genes (including all 178 pSOL1 genes) covering more than 25% of the whole genome were designed, constructed, and validated for data reliability. Strain SKO1, with an inactivated spo0A gene, displays an asporogenous, filamentous, and largely deficient solventogenic phenotype. SKO1 displays downregulation of all solvent formation genes, sigF, and carbohydrate metabolism genes (similar to genes expressed as part of the stationary-phase response in Bacillus subtilis) but also several electron transport genes. A major cluster of genes upregulated in SKO1 includes abrB, the genes from the major chemotaxis and motility operons, and glycosylation genes. Strain M5 displays an asporogenous and nonsolventogenic phenotype due to loss of the megaplasmid pSOL1, which contains all genes necessary for solvent formation. Therefore, M5 displays downregulation of all pSOL1 genes expressed in the WT. Notable among other genes expressed more highly in WT than in M5 were sigF, several two-component histidine kinases, spo0A, cheA, cheC, many stress response genes, fts family genes, DNA topoisomerase genes, and central-carbon metabolism genes. Genes expressed more highly in M5 include electron transport genes (but different from those downregulated in SKO1) and several motility and chemotaxis genes. Most of these expression patterns were consistent with phenotypic characteristics. Several of these expression patterns are new or different from what is known in B. subtilis and can be used to test a number of functional-genomic hypotheses.

Transcriptional analysis of product-concentration driven changes in cellular programs of recombinant Clostridium acetobutylicumstrains.

Antisense RNA (asRNA) downregulation alters protein expression without changing the regulation of gene expression. Downregulation of primary metabolic enzymes possibly combined with overexpression of other metabolic enzymes may result in profound changes in product formation, and this may alter the large-scale transcriptional program of the cells. DNA-array based large-scale transcriptional analysis has the potential to elucidate factors that control cellular fluxes even in the absence of proteome data. These themes are explored in the study of large-scale transcriptional analysis programs and the in vivo primary-metabolism fluxes of several related recombinant C. acetobutylicum strains: C. acetobutylicum ATCC 824(pSOS95del) (plasmid control; produces high levels of butanol snd acetone), 824(pCTFB1AS) (expresses antisense RNA against CoA transferase (ctfb1-asRNA); produces very low levels of butanol and acetone), and 824(pAADB1) (expresses ctfb1-asRNA and the alcohol-aldehyde dahydrogenase gene (aad); produce high alcohol and low acetone levels). DNA-array based transcriptional analysis revealed that the large changes in product concentrations (snd notably butanol concentration) due to ctfb1-asRNA expression alone and in combination with aad overexpression resulted in dramatic changes of the cellular transcriptome. Cluster analysis and gene expression patterns of established and putative operons involved in stress response, motility, sporulation, and fatty-acid biosynthesis indicate that these simple genetic changes dramatically alter the cellular programs of C. acetobutylicum. Comparison of gene expression and flux analysis data may point to possible flux-controling steps and suggest unknown regulatory mechanisms.