1. |
- Gustafsson, Erik, et al.
(author)
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Mathematical modelling of the regulation of spa (protein A) transcription in Staphylococcus aureus.
- 2009
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In: International journal of medical microbiology : IJMM. - : Elsevier BV. - 1618-0607 .- 1438-4221. ; 299:1, s. 65-74
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Journal article (peer-reviewed)abstract
- In the present work a general systems biology approach has been used to study the complex regulatory network controlling the transcription of the spa gene, encoding protein A, a major surface protein and an important virulence factor of Staphylococcus aureus. A valid mathematical model could be formulated using parameter values, which were fitted to quantitative Northern blot data from various S. aureus regulatory mutants using a gradient search method. The model could correctly predict spa expression levels in 4 different regulatory mutants not included in the parameter value search, and in 2 other S. aureus strains, SH1000 and UAMS-1. The mathematical model revealed that sarA and sarS seem to balance each other in a way that when the activating impact of sarS is small, e.g. in the wild-type, the repressive impact of sarA is small, while in an agr-deficient background, when the impact of sarS is maximal, the repressive impact of sarA is close to its maximum. Furthermore, the model revealed that Rot and SarS act synergistically to stimulate spa expression, something that was not obvious from experimental data. We believe that this mathematical model can be used to evaluate the significance of other putative interactions in the regulatory network governing spa transcription.
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2. |
- Nilsson, Maria, et al.
(author)
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A user study of the Impact matrix, a fusion based decision support for enhanced situation awareness
- 2008
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In: Proceedings of the 11th International Conference on Information Fusion 2008 (FUSION 2008). - : IEEE conference proceedings. - 9783000248832 - 9783800730926 ; , s. 440-447
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Conference paper (peer-reviewed)abstract
- Today’s asymmetric threats put new challenges on military decision making. As new technology develops we have new possibilities to support decision making in such environments. However, it is important that the tools developed take into account users’ (commanders’) decision needs. This paper presents some initial user studies of Swedish commanders testing a prototype application developed to answer these new challenges introduced by asymmetric threats. The application aids commanders by supporting situation awareness in terms of providing an overview of incoming intelligence reports and displaying probabilities of future events. The user study focuses on how the tool can support commanders’ daily decision making activities. The results indicate that the general concept could be useful for Swedish commanders and analysts, but some suggestions for improvements are made. The issues found in this study will inform the continuing evaluation of this tool.
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3. |
- Synnergren, Jane, 1967, et al.
(author)
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Cardiomyogenic gene expression profiling of differentiating human embryonic stem cells.
- 2008
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In: Journal of biotechnology. - : Elsevier BV. - 0168-1656 .- 1873-4863. ; 134:1-2, s. 162-70
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Journal article (peer-reviewed)abstract
- Human embryonic stem cells (hESCs) can differentiate into a variety of specialized cell types. Thus, they provide a model system for embryonic development to investigate the molecular processes of cell differentiation and lineage commitment. The development of the cardiac lineage is easily detected in mixed cultures by the appearance of spontaneously contracting areas of cells. We performed gene expression profiling of undifferentiated and differentiating hESCs and monitored 468 genes expressed during cardiac development and/or in cardiac tissue. Their transcription during early differentiation of hESCs through embryoid bodies (EBs) was investigated and compared with spontaneously differentiating hESCs maintained on feeders in culture without passaging (high-density (HD) protocol). We observed a larger variation in the gene expression between cells from a single cell line that were differentiated using two different protocols than in cells from different cell lines that were cultured according to the same protocol. Notably, the EB protocol resulted in more reproducible transcription profiles than the HD protocol. The results presented here provide new information about gene regulation during early differentiation of hESCs with emphasis on the cardiomyogenic program. In addition, we also identified regulatory elements that could prove critical for the development of the cardiomyocyte lineage.
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4. |
- Synnergren, Jane, 1967, et al.
(author)
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Differentiating human embryonic stem cells express a unique housekeeping gene signature.
- 2007
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In: Stem cells (Dayton, Ohio). - : Oxford University Press (OUP). - 1066-5099 .- 1549-4918. ; 25:2, s. 473-80
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Journal article (peer-reviewed)abstract
- Housekeeping genes (HKGs) are involved in basic functions needed for the sustenance of the cell and are assumed to be constitutively expressed at a constant level. Based on these features, HKGs are frequently used for normalization of gene expression data. In the present study, we used the CodeLink Gene Expression Bioarray system to interrogate changes in gene expression occurring during differentiation of human ESCs (hESCs). Notably, in the three hESC lines used for the study, we observed that the RNA levels of 56 frequently used HKGs varied to a degree that rendered them inappropriate as reference genes. Therefore, we defined a novel set of HKGs specifically for hESCs. Here we present a comprehensive list of 292 genes that are stably expressed (coefficient of variation <20%) in differentiating hESCs. These genes were further grouped into high-, medium-, and low-expressed genes. The expression patterns of these novel HKGs show very little overlap with results obtained from somatic cells and tissues. We further explored the stability of this novel set of HKGs in independent, publicly available gene expression data from hESCs and observed substantial similarities with our results. Gene expression was confirmed by real-time quantitative polymerase chain reaction analysis. Taken together, these results suggest that differentiating hESCs have a unique HKG signature and underscore the necessity to validate the expression profiles of putative HKGs. In addition, this novel set of HKGs can preferentially be used as controls in gene expression analyses of differentiating hESCs.
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5. |
- Synnergren, Jane, et al.
(author)
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Differentiating human embryonic stem cells express a unique housekeeping gene signature
- 2006
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In: 4th ISSCR Annual Meeting.
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Conference paper (peer-reviewed)abstract
- Human embryonic stem cells (hESCs) represent populations of pluripotent undifferentiated cells with unlimited replication capacity which can be coaxed to differentiate into a variety of specialized cells. As a result, there is great hope that hESCs will be extremely useful by providing platforms for various in vitro applications (e.g. in drug discovery) as well as for future use of hESCs and their differentiated progeny in cell replacement therapies. In order to realize the potential of hESCs, it is necessary to gain much deeper knowledge about the processes that govern differentiation of these cells.In recent years, significant progress towards understanding cellular differentiation has been fuelled, in part, by studying gene expression using microarrays. In this large scale studies, statistical methods are used to normalize the gene expression data and render comparisons between different samples. In lower throughput analyses, RNA levels in hESCs are also measured using RT-PCR requiring normalization of the gene expression data to adequately correct for inter-sample variation. In general, investigators have used the traditional housekeeping genes (HKGs) (e.g. GAPDH, b-tubulin, b-actin) in studies of hESCs. HKGs are involved in basic functions needed for the sustenance of the cell and are assumed to be constitutively expressed at a constant level. Based on these features, HKGs are frequently used for normalization of gene expression data. However, it is well known that the expression of several of these genes vary considerably in adult tissues and their suitability as HKGs in hESCs remains to be proven. In this regard, the RNA levels of HPRT and b-tubulin were shown to vary substantially in differentiating mouse ESCs.In the present study, we used the CodeLinkTM Gene Expression Bioarray system to interrogate changes in gene expression occurring during differentiation of hESCs. Notably, in the three hESC lines used for the study, we observed that the RNA levels of 56 frequently used HKGs varied to a degree that rendered them inappropriate as reference genes. Therefore, we defined a novel set of HKGs specifically for hESCs. Here we present a comprehensive list of 292 genes that are stably expressed (coefficient of variation<20%) in differentiating hESCs. These genes were further grouped into high, medium, and low expressed genes. The expression patterns of these novel HKGs show very little overlap with results obtained from somatic cells and tissues. We further explored the stability of this novel set of HKGs in independent, publicly available gene expression data from hESCs and observed substantial similarities in terms of stably expressed genes. Taken together, these results suggest that hESCs have a unique HKG signature and underscore the necessity to validate the expression profiles of putative HKGs. In addition, the novel set of identified HKGs can preferentially be used as controls in gene expression analyses of differentiating hESCs.
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