Iowa Technology Governance Board Annual Report, January 12, 2009

This Technology Governance Board Annual Report provides information on the FY06 – FY10 Information Technology Personnel Spending; FY06 – FY10 Technology Equipment and Services Spending; and FY06 – FY10 Internal IT Expenditures with the Iowa Communications Network and Department of Administrative Services - Information Technology Enterprise. The report also contains a projection of technology cost savings. This report was produced in compliance with Iowa Code §8A.204(3a) and was submitted to the Governor, the Department of Management, and the General Assembly on January 12, 2009.

Iowa Technology Governance Board Annual Report, January 11, 2010

This Technology Governance Board Annual Report provides information on the FY07 – FY11 Information Technology Personnel Spending; FY07 – FY11 Technology Equipment and Services Spending; and FY07 – FY11 Internal IT Expenditures with the Iowa Communications Network and Department of Administrative Services - Information Technology Enterprise. The report also contains a projection of technology cost savings. This report was produced in compliance with Iowa Code §8A.204(3a) and was submitted to the Governor, the Department of Management, and the General Assembly on January 11, 2010.

Iowa Technology Governance Board Annual Report, January 10, 2011

This Technology Governance Board Annual Report provides information on the FY08 – FY12 Information Technology Personnel Spending; FY08 – FY12 Technology Equipment and Services Spending; and FY08 – FY12 Internal IT Expenditures with the Iowa Communications Network and Department of Administrative Services - Information Technology Enterprise. The report also contains a projection of technology cost savings. This report was produced in compliance with Iowa Code §8A.204(3a) and was submitted to the Governor, the Department of Management, and the General Assembly on January 10, 2011.

Ex XIIII. T. Livii Decadibus. Prima, tertia, quarta, in qua praeter fragmenta III, & X libri, quae in Germania nuper reperta, hic etiam continentur, multa adulterina expunximus, multa vera recepimus, quae in aliis non habentur. Epitome singulorum librorum XIIII Decadum. Historia omnium XIIII Decadum in compendium redacta ab L. Floro. Polybii lib. V de rebus Romanis latinitate donati à Nicolao Perotto. Index copiosissimus rerum omnium memorabilium...

[Histoire romaine (latin). 1518-1533]

Ex XIIII. T. Livii Decadibus. Prima, tertia, quarta, in qua praeter fragmenta III, & X libri, quae in Germania nuper reperta, hic etiam continentur, multa adulterina expunximus, multa vera recepimus, quae in aliis non habentur. Epitome singulorum librorum XIIII Decadum. Historia omnium XIIII Decadum in compendium redacta ab L. Floro. Polybii lib. V de rebus Romanis latinitate donati à Nicolao Perotto. Index copiosissimus rerum omnium memorabilium...

[Histoire romaine (latin). 1518-1533]

Hexokinase 2, Glycogen Synthase and Phosphorylase Play a Key Role in Muscle Glycogen Supercompensation

Background: Glycogen-depleting exercise can lead to supercompensation of muscle glycogen stores, but the biochemical mechanisms of this phenomenon are still not completely understood. Methods: Using chronic low-frequency stimulation (CLFS) as an exercise model, the tibialis anterior muscle of rabbits was stimulated for either 1 or 24 hours, inducing a reduction in glycogen of 90% and 50% respectively. Glycogen recovery was subsequently monitored during 24 hours of rest. Results: In muscles stimulated for 1 hour, glycogen recovered basal levels during the rest period. However, in those stimulated for 24 hours, glycogen was supercompensated and its levels remained 50% higher than basal levels after 6 hours of rest, although the newly synthesized glycogen had fewer branches. This increase in glycogen correlated with an increase in hexokinase-2 expression and activity, a reduction in the glycogen phosphorylase activity ratio and an increase in the glycogen synthase activity ratio, due to dephosphorylation of site 3a, even in the presence of elevated glycogen stores. During supercompensation there was also an increase in 59-AMP-activated protein kinase phosphorylation, correlating with a stable reduction in ATP and total purine nucleotide levels. Conclusions: Glycogen supercompensation requires a coordinated chain of events at two levels in the context of decreased cell energy balance: First, an increase in the glucose phosphorylation capacity of the muscle and secondly, control of the enzymes directly involved in the synthesis and degradation of the glycogen molecule. However, supercompensated glycogen has fewer branches.

The tumor suppressive role of WIF1 in glioblastoma

Expression based prediction of gene alterations identified WNT inhibitory factor I (WIF1) as a new candidate tumor suppressor gene involved in glioblastoma. WIF1 encodes a secreted WNT antagonist and it is strongly down-regulated in most glioblastoma as compared to normal brain both by genomic deletion and WIF1 promoter hypermethylation. WIF1 expression in glioblastoma cell lines inhibited cell proliferation in vitro and in vivo and strongly reduced migration capability. Interestingly, WIF1 expression induced a senescence-like phenotype characterized by the appearance of enlarged, flattened and multinucleated cells positive for the presence of senescence associated ß-galactosidase, a late marker of senescence. It is of note that WIF1 induced senescence, in glioma cell lines, is independent of either p53 or pRB, two pathways that have been widely associated with this process. The analysis of the signaling pathways downstream of WIF1 brought some interesting results. WIF1 expression inhibited the canonical pathway but alteration of this pathway alone couldn't explain all the WIFl-induced effects. Some WIF1-related changes were attributed to inhibition of the non-canonical pathway, as we could prove by downregulation of WNT5a, the main ligand of the non-canonical WNT pathway. For example, a drastic reduction of phosphorylation of both ERK and p38 was detected when either overexpressing WIF1 or downregulating WNT5a. Due to the complexity of the non-canonical pathway is difficult to define the precise mechanism of signal transduction. We have excluded the involvement of the WNT5a-JNK-APl pathway and preliminary results suggest the implication of the WNT-calcium signaling, but further evidence is needed. Moreover, from the analysis of the gene expression profile of WIF1 expressing cells we could select a very interesting candidate: MALATI, a non-coding RNA widely associated with migratory capability in many different types of tumors. We found MALATI to be overexpressed in glioblastoma specimens compared to normal brain and to be associated with total tumor volume. The downregulation of MALATI by RNAi (RNA interference] drastically impairs migration, thus it is a very interesting potential target in the context of invasive tumors such as glioblastoma. Résumé WIFl a été sélectionné en tant que putatif suppresseur de tumeurs dans le cadre des glioblastomes par une analyse qui a était conduit à partir des données d'expression de gènes provenant d'environ 80 glioblastomes. WIF1 code pour une protéine destinée à la sécrétion qui antagonise la voie de WNT et son expression est fortement sous-exprimé dans la plupart des glioblastome par rapport à tissu cérébral normal. Cette sous-expression est due à deux mécanismes différents: à la délétion de la partie génomique codant pour WIF1 et à l'hyper méthylation de son promoteur. La surexpression de WIF1 réduit la capacité de prolifération des cellules de glioblastome in vitro ainsi que in vivo et elle réduit aussi leur capacité migratoire. Il est intéressant de remarquer que l'espression de WIF1 induit un phénotype sénescent caractérisé par l'apparition de cellules aplaties, multi nucléées et positives pour l'activité de l'enzyme ß-galactosidase associée à la sénescence, un marqueur tardif de la sénescence. Il est à noter que le phénotype sénescent qui est induit par WIF1 est indépendant de p53 et pRB, deux voies qui ont été largement associées à ce processus. L'analyse des les voies de signalisation en aval de WIFl a apporté des résultats intéressants. L'expression de WIF1 inhibe la voie canonique de WNT, mais l'altération de cette voie seule ne pouvait pas expliquer tous les effets induits par WIF1. Nous avons pu prouver que certains changements sont liés à l'inhibition de la voie non-canonique qui est activée par WNT5cc. Par exemple, une réduction drastique de la phosphorylation de ERK et p38 à la fois a été détectée lorsque WIFl a été surexprimé ou WNT5a sous- exprimé. En raison de la complexité de la voie non-canonique, il est difficile de définir le mécanisme précis de la transduction du signal. Nous avons exclu l'implication de la voie JNK-WNT5a-APl et les résultats préliminaires suggèrent l'implication de la voie de signalisation appelée WNT-calcium. En plus, l'analyse du profil d'expression génique de cellules sur-exprimant WIF1 nous a permis d'identifier un candidat très intéressant: MALATI, un ARN non- codants largement associés à la capacité migratoire dans nombreux types de tumeurs. Nous avons trouvé que MALATI est surexprimé dans les échantillons de glioblastome par rapport à tissu cérébral normal et il est associé au volume total de la tumeur. La sous-expression de MALATI altère considérablement la migration des cellules tumorales. Donc, MALATI, est une cible potentielle très intéressante dans le cadre d'une tumeur invasive telle que le glioblastome.

Annual Report of the Iowa Highway Research Board Research and Development Activities FY 2010

The Highway Division of the Iowa Department of Transportation (Iowa DOT) engages in research and development for two reasons: first, to find workable solutions to the many problems that require more than ordinary, routine investigation; and second, to identify and implement improved engineering and management practices. This report, entitled ―Iowa Highway Research Board Research and Development Activities FY2009‖ is submitted in compliance with Sections 310.36 and 312.3A, Code of Iowa, which direct the submission of a report of the Secondary Road Research Fund and the Street Research Fund, respectively.

Molecular and Functional Characterization of Neuroblastoma-Initiating Cells

Neuroblastoma (NB) is the most common extracranial malignant tumor in young children and arises at any site of the sympathetic nervous system. The disease exhibits a remarkable phenotypic diversity ranging from spontaneous regression to fatal disease. Poor outcome results from a rapidly progressive, metastatic and drug-resistant disease. Recent studies have suggested that solid tumors may arise from a minor population of cancer stem cells (CSCs) with stem cell markers and typical properties such as self-renewal ability, asymmetric division and drug resistance. In this model, CSCs possess the exclusive ability to initiate and maintain the tumor, and to produce distant metastases. Tumor cell subpopulations with stem-like phenotypes have indeed been identified in several cancer including leukemia, breast, brain and colon cancers. CSC hypothesis still needs to be validated in the other cancers including NB.NB originates from neural crest-derived malignant sympatho-adrenal cells. We have identified rare cells that express markers in conformity with neural crest stem cells and their derived lineages within primary NB tissue and cell lines, leading us to postulate the existence of CSCs in NB tumors.In the absence of specific markers to isolate CSCs, we adapted to NB tumor cells the sphere functional assay, based on the ability of stem cells to grow as spheres in non-adherent conditions. By serial passages of spheres from bone marrow NB metastases, a subset of cells was gradually selected and its specific gene expression profile identified by micro-array time-course analysis. The differentially expressed genes in spheres are enriched in genes implicated in development including CD133, ABC-transporters, WNT and NOTCH genes, identified in others solid cancers as CSCs markers, and other new markers, all referred by us as the Neurosphere Expression Profile (NEP). We confirmed the presence of a cell subpopulation expressing a combination of the NEP markers within a few primary NB samples.The tumorigenic potential of NB spheres was assayed by in vivo tumor growth analyses using orthotopic (adrenal glands) implantations of tumor cells into immune-compromised mice. Tumors derived from the sphere cells were significantly more frequent and were detected earlier compared to whole tumor cells. However, NB cells expressing the neurosphere-associated genes and isolated from the bulk tumors did not recapitulate the CSC-like phenotype in the orthotopic model. In addition, the NB sphere cells lost their higher tumorigenic potential when implanted in a subcutaneous heterotopic in vivo model.These results highlighted the complex behavior of CSC functions and led us to consider the stem-like NB cells as a dynamic and heterogeneous cell population influenced by microenvironment signals.Our approach identified for the first time candidate genes that may be associated with NB self-renewal and tumorigenicity and therefore would establish specific functional targets for more effective therapies in aggressive NB.

The role of the transcription factor Tcf-1 for the development and the function of NK cells

Natural Killer (NK) cells are innate immune cells that can eliminate malignant and foreign cells and that play an important role for the early control of viral and fungal infections. Further, they are important regulators of the adaptive and innate immune responses. During their development in the bone marrow (BM) NK cells undergo several maturation steps that directly establish an effector program. The transcriptional network that controls NK cell development and maturation is still incompletely understood. Based on earlier findings that NK cell numbers are reduced in the absence of the transcription factor T cell factor-1 (Tcf-1), my thesis has addressed the precise role of this transcription factor for NK cell development, maturation and function and whether Tcf-1 acts as a nuclear effector of the canonical Wnt signaling pathway to mediate its effects. It is shown that Tcf-1 is selectively required for the emergence of mature BM NK cells. Surprisingly, the emergence of BM NK cells depends on the repressor function of Tcf-1 and is independent of the Wnt pathway. In BM and peripheral NK cells Tcf-1 is found to suppress Granzyme B (GzmB) expression, a key cytotoxic effector molecule required to kill target cells. We provide evidence that GzmB over-expression in the absence of Tcf-1 results in accelerated spontaneous death of bone marrow NK cells and of cytokine stimulated peripheral NK cells. Moreover, Tcf-1 deficient NK cells show reduced target cell killing, which is due to enhanced GzmB-dependent NK cell death induced by the recognition of tumour target cells. Collectively, these data provide significant new insights into the transcriptional regulation of NK cell development and function and suggest a novel mechanism that protects NK cells from the deleterious effects of highly cytotoxic effector molecules. - Les cellules NK (de l'anglais Natural Killer) font partie du système immunitaire inné et sont capables d'éliminer à elles seules les cellules cancéreuses ou infectées. Ces cellules participent dans la régulation et la coordination des réponses innée et adaptative. Lors de leur développement dans la moelle osseuse, les cellules NK vont acquérir leurs fonctions effectrices, un processus contrôlé par des facteurs de transcription mais encore peu connu. Des précédentes travaux ont montré qu'une diminution du nombre de cellules NK corrélait avec l'absence du facteur de transcription Tcf-1 (T cell factor-1), suggérant un rôle important de Tcf-1 dans le développement de cellules NK. Cette thèse a pour but de mieux comprendre le rôle du facteur de transcription Tcf-1 lors du développement et la maturation des cellules NK, ainsi que son interaction avec la voie de signalisation Wnt. Nous avons montré que Tcf-1 est essentiel pour la transition des cellules immatures NK (iNK) à des cellules matures NK (mNK) dans la moelle osseuse, et cela de manière indépendamment de la voie de signalisation Wnt. De manière intéressante, nous avons observé qu'en absence du facteur de transcription Tcf-1, les cellules NK augmentaient l'expression de la protéine Granzyme B (GzmB), une protéine essentielle pour l'élimination des cellules cancéreuses ou infectées. Ceci a pour conséquence, une augmentation de la mort des cellules mNK dans la moelle osseuse ainsi qu'une diminution de leur fonction «tueuses». Ces résultats montrent pour la première fois, le rôle répresseur du facteur de transcription Tcf-1 dans l'expression de la protéine GzmB. L'ensemble de ces résultats apporte de nouveaux éléments concernant le rôle de Tcf-1 dans la régulation du développement et de la fonction des cellules NK et suggèrent un nouveau mécanisme cellulaire de protection contre les effets délétères d'une dérégulation de l'expression des molécules cytotoxique.

Annual Report of Iowa Highway Research Board Research and Development Activities FY 2011, December 2011

The Highway Division of the Iowa DOT engages in research and development for two reasons: first, to find workable solutions to the many problems that require more than ordinary, routine investigation; and second, to identify and implement improved engineering and management practices. This report, entitled ―Iowa Highway Research Board Research and Development Activities FY2011‖ is submitted in compliance with Sections 310.36 and 312.3A, Code of Iowa, which direct the submission of a report of the Secondary Road Research Fund and the Street Research Fund, respectively. It is a report of the status of research and development projects in progress on June 30, 2011. It is also a report on projects completed during the fiscal year beginning July 1, 2010 and ending June 30, 2011. Detailed information on each of the research and development projects mentioned in this report is available from the Research and Technology Bureau, Highway Division, Iowa Department of Transportation. All approved reports are also online for viewing at: www.iowadot.gov/operationsresearch/reports.aspx.

A gene expression signature that distinguishes desmoid tumours from nodular fasciitis.

Nodular fasciitis (NF) is a rapidly growing cellular mass composed of fibroblasts/myofibroblasts, usually localized in subcutaneous tissues, that typically undergoes fibrosis and almost never recurs. Desmoid tumours (DTs) are rare forms of fibroblastic/myofibroblastic growth that arise in deep soft tissues, display a propensity for local infiltration and recurrence, but fail to metastasize. Given that both entities are primarily fibroblastic/myofibroblastic lesions with overlapping histological features, their gene expression profiles were compared to identify differentially expressed genes that may provide not only potential diagnostic markers, but also clues as to the pathogenesis of each disorder. Differentially expressed transcripts (89 clones displaying increased expression in DTs and 246 clones displaying increased expression in NF) included genes encoding several receptor and non-receptor tyrosine kinases (EPHB3, PTPRF, GNAZ, SYK, LYN, EPHA4, BIRC3), transcription factors (TWIST1, PITX2, EYA2, OAS1, MITF, TCF20), and members of the Wnt signalling pathway (AXIN2, WISP1, SFRP). Remarkably, almost one-quarter of the differentially expressed genes encode proteins associated with inflammation and tissue remodelling, including members of the interferon (IFN), tumour necrosis factor (TNF), and transforming growth factor beta (TGF-beta) signalling pathways as well as metalloproteinases (MMP1, 9, 13, 23), urokinase plasminogen activator (PLAU), and cathepsins. The observations provide the first comparative molecular characterization of desmoid tumours and nodular fasciitis and suggest that selected tyrosine kinases, transcription factors, and members of the Wnt, TGF-beta, IFN, and TNF signalling pathways may be implicated in influencing and distinguishing their fate.

A colorectal cancer classification system that associates cellular phenotype and responses to therapy.

Colorectal cancer (CRC) is a major cause of cancer mortality. Whereas some patients respond well to therapy, others do not, and thus more precise, individualized treatment strategies are needed. To that end, we analyzed gene expression profiles from 1,290 CRC tumors using consensus-based unsupervised clustering. The resultant clusters were then associated with therapeutic response data to the epidermal growth factor receptor-targeted drug cetuximab in 80 patients. The results of these studies define six clinically relevant CRC subtypes. Each subtype shares similarities to distinct cell types within the normal colon crypt and shows differing degrees of 'stemness' and Wnt signaling. Subtype-specific gene signatures are proposed to identify these subtypes. Three subtypes have markedly better disease-free survival (DFS) after surgical resection, suggesting these patients might be spared from the adverse effects of chemotherapy when they have localized disease. One of these three subtypes, identified by filamin A expression, does not respond to cetuximab but may respond to cMET receptor tyrosine kinase inhibitors in the metastatic setting. Two other subtypes, with poor and intermediate DFS, associate with improved response to the chemotherapy regimen FOLFIRI in adjuvant or metastatic settings. Development of clinically deployable assays for these subtypes and of subtype-specific therapies may contribute to more effective management of this challenging disease.

Concurrence et régulation dans le secteur hospitalier

Pour mettre en évidence le rôle respectif de la concurrence et de la régulation, cet article traitera essentiellement de la question du financement des hôpitaux. Après une section 1 consacrée aux justifications de la régulation, les modalités de celles-ci seront analysées dans la section 2 avant d'étudier la place de la concurrence dans la section 3. [Auteur, p. 62] [Table des matières] 1. Les fondements de la régulation du système de santé. 1A. Pourquoi réguler (assurance-maladie ; la production de soins). 1B. Comment réguler. - 2. La régulation des tarifs hospitaliers. 2A. Principes généraux de paiement. 2B. La tarification à l'activité. 3. Concurrence et régulation. 3A. Concurrence fictive, spécialisations, et concurrence privé-public. 3B. La concurrence par la qualité. 3C. La concurrence en prix.