Use of intrinsic modes in biology: Examples of indicial response of pulmonary blood pressure to ± step hypoxia

Recently, a new method to analyze biological nonstationary stochastic variables has been presented. The method is especially suitable to analyze the variation of one biological variable with respect to changes of another variable. Here, it is illustrated by the change of the pulmonary blood pressure in response to a step change of oxygen concentration in the gas that an animal breathes. The pressure signal is resolved into the sum of a set of oscillatory intrinsic mode functions, which have zero “local mean,” and a final nonoscillatory mode. With this device, we obtain a set of “mean trends,” each of which represents a “mean” in a definitive sense, and together they represent the mean trend systematically with different degrees of oscillatory content. Correspondingly, the oscillatory content of the signal about any mean trend can be represented by a set of partial sums of intrinsic mode functions. When the concept of “indicial response function” is used to describe the change of one variable in response to a step change of another variable, we now have a set of indicial response functions of the mean trends and another set of indicial response functions to describe the energy or intensity of oscillations about each mean trend. Each of these can be represented by an analytic function whose coefficients can be determined by a least-squares curve-fitting procedure. In this way, experimental results are stated sharply by analytic functions.

The control of hematopoiesis and leukemia: from basic biology to the clinic.

Hematopoiesis gives rise to blood cells of different lineages throughout normal life. Abnormalities in this developmental program lead to blood cell diseases including leukemia. The establishment of a cell culture system for the clonal development of hematopoietic cells made it possible to discover proteins that regulate cell viability, multiplication and differentiation of different hematopoietic cell lineages, and the molecular basis of normal and abnormal blood cell development. These regulators include cytokines now called colony-stimulating factors (CSFs) and interleukins (ILs). There is a network of cytokine interactions, which has positive regulators such as CSFs and ILs and negative regulators such as transforming growth factor beta and tumor necrosis factor (TNF). This multigene cytokine network provides flexibility depending on which part of the network is activated and allows amplification of response to a particular stimulus. Malignancy can be suppressed in certain types of leukemic cells by inducing differentiation with cytokines that regulate normal hematopoiesis or with other compounds that use alternative differentiation pathways. This created the basis for the clinical use of differentiation therapy. The suppression of malignancy by inducing differentiation can bypass genetic abnormalities that give rise to malignancy. Different CSFs and ILs suppress programmed cell death (apoptosis) and induce cell multiplication and differentiation, and these processes of development are separately regulated. The same cytokines suppress apoptosis in normal and leukemic cells, including apoptosis induced by irradiation and cytotoxic cancer chemotherapeutic compounds. An excess of cytokines can increase leukemic cell resistance to cytotoxic therapy. The tumor suppressor gene wild-type p53 induces apoptosis that can also be suppressed by cytokines. The oncogene mutant p53 suppresses apoptosis. Hematopoietic cytokines such as granulocyte CSF are now used clinically to correct defects in hematopoiesis, including repair of chemotherapy-associated suppression of normal hematopoiesis in cancer patients, stimulation of normal granulocyte development in patients with infantile congenital agranulocytosis, and increase of hematopoietic precursors for blood cell transplantation. Treatments that decrease the level of apoptosis-suppressing cytokines and downregulate expression of mutant p53 and other apoptosis suppressing genes in cancer cells could improve cytotoxic cancer therapy. The basic studies on hematopoiesis and leukemia have thus provided new approaches to therapy.

The biology of vision of Drosophila.

Phototransduction systems in vertebrates and invertebrates share a great deal of similarity in overall strategy but differ significantly in the underlying molecular machinery. Both are rhodopsin-based G protein-coupled signaling cascades displaying exquisite sensitivity and broad dynamic range. However, light activation of vertebrate photoreceptors leads to activation of a cGMP-phosphodiesterase effector and the generation of a hyperpolarizing response. In contrast, activation of invertebrate photoreceptors, like Drosophila, leads to stimulation of phospholipase C and the generation of a depolarizing receptor potential. The comparative study of these two systems of phototransduction offers the opportunity to understand how similar biological problems may be solved by different molecular mechanisms of signal transduction. The study of this process in Drosophila, a system ideally suited to genetic and molecular manipulation, allows us to dissect the function and regulation of such a complex signaling cascade in its normal cellular environment. In this manuscript I review some of our recent findings and the strategies used to dissect this process.

Neurospora crassa transcriptomics reveals oxidative stress and plasma membrane homeostasis biology genes as key targets in response to chitosan

Chitosan is a natural polymer with antimicrobial activity. Chitosan causes plasma membrane permeabilization and induction of intracellular reactive oxygen species (ROS) in Neurospora crassa. We have determined the transcriptional profile of N. crassa to chitosan and identified the main gene targets involved in the cellular response to this compound. Global network analyses showed membrane, transport and oxidoreductase activity as key nodes affected by chitosan. Activation of oxidative metabolism indicates the importance of ROS and cell energy together with plasma membrane homeostasis in N. crassa response to chitosan. Deletion strain analysis of chitosan susceptibility pointed NCU03639 encoding a class 3 lipase, involved in plasma membrane repair by lipid replacement, and NCU04537 a MFS monosaccharide transporter related to assimilation of simple sugars, as main gene targets of chitosan. NCU10521, a glutathione S-transferase-4 involved in the generation of reducing power for scavenging intracellular ROS is also a determinant chitosan gene target. Ca2+ increased tolerance to chitosan in N. crassa. Growth of NCU10610 (fig 1 domain) and SYT1 (a synaptotagmin) deletion strains was significantly increased by Ca2+ in the presence of chitosan. Both genes play a determinant role in N. crassa membrane homeostasis. Our results are of paramount importance for developing chitosan as an antifungal.

Mécanismes moléculaires de l’hypertrophie vasculaire dans le modèle animal d’hypertension essentielle (SHR)

La voie de signalisation des phosphoinositides joue un rôle clé dans la régulation du tonus vasculaire. Plusieurs études rapportent une production endogène de l’angiotensin II (Ang II) et de l’endothéline-1 (ET-1) par les cellules musculaires lisses vasculaires (CMLVs) de rats spontanément hypertendus (spontaneously hypertensive rats : SHR). De plus, l’Ang II exogène induit son effet prohypertrophique sur les CMLVs selon un mécanisme dépendant de la protéine Gqα et de la PKCẟ. Cependant, le rôle de l’axe Gqα/PLCβ/PKCẟ dans l’hypertrophie des CMLVs provenant d’un modèle animal de l’hypertension artérielle n’est pas encore étudié. L’objectif principal de cette thèse est d’examiner le rôle de l’axe Gqα/PLCβ1 dans les mécanismes moléculaires de l’hypertrophie des CMLVs provenant d’un modèle animal d’hypertension artérielle essentielle (spontaneously hypertensive rats : SHR). Nos premiers résultats indiquent que contrairement aux CMLVs de SHR âgés de 12 semaines (absence d’hypertrophie cardiaque), les CMLVs de SHR âgés de 16 semaines (présence d’hypertrophie cardiaque) présentent une surexpression protéique endogène de Gqα et de PLCβ1 par rapport aux CMLVs de rats WKY appariés pour l’âge. L’inhibition du taux d’expression protéique de Gqα et de PLCβ1 par des siRNAs spécifiques diminue significativement le taux de synthèse protéique élevé dans les CMLVs de SHR. De plus, la surexpression endogène des Gqα et PLCβ1, l’hyperphosphorylation de la molécule ERK1/2 et le taux de synthèse protéique élevé dans les CMLVs de SHR de 16 semaines ont été atténués significativement par des antagonistes des récepteurs AT1 (losartan) et ETA (BQ123), mais pas par l’antagoniste du récepteur ETB (BQ788). L’inhibition pharmacologique des MAPKs par PD98059 diminue significativement la surexpression endogène de Gqα/PLCβ1 et le taux de synthèse protéique élevé dans les CMLVs de SHR. D’un côté, l’inhibition du stress oxydatif (par DPI, inhibiteur de la NAD(P)H oxidase, et NAC , molécule anti-oxydante), de la molécule c-Src (PP2) et des récepteurs de facteurs de croissance (AG1024 (inhibiteur de l’IGF1-R), AG1478 (inhibiteur de l’EGFR) et AG1295 (inhibiteur du PDGFR)) a permis d’atténuer significativement la surexpression endogène élevée de Gqα/PLCβ1 et l’hypertrophie des CMLVs de SHR. D’un autre côté, DPI, NAC et PP2 atténuent significativement l’hyperphosphorylation de la molécule c-Src, des RTKs (récepteurs à activité tyrosine kinase) et de la molécule ERK1/2. Dans une autre étude, nous avons aussi démontré que la PKCẟ montre une hyperphosphorylation en Tyr311 dans les CMLVs de SHR comparées aux CMLVs de WKY. La rottlerin, utilisée comme inhibiteur spécifique de la PKCẟ, inhibe significativement cette hyperphosphorylation en Tyr311 dépendamment de la concentration. L’inhibition de l’activité de la PKCẟ par la rottlerin a été aussi associée à une atténuation significative de la surexpression protéique endogène de Gqα/PLCβ1 et l’hypertrophie des CMLVs de SHR. De plus, l’inhibition pharmacologique de l’activité de la PKCẟ, en amont du stress oxydatif, a permis d’inhiber significativement l’activité de la NADPH, le taux de production élevée de l’ion superoxyde ainsi que l’hyperphosphorylation de la molécule ERK1/2, de la molécule c-Src et des RTKs. À notre surprise, nous avons aussi remarqué une surexpression protéique de l’EGFR et de l’IGF-1R dans les CMLVs de SHR à l’âge de 16 semaines. L’inhibition pharmacologique de l’activité de la PKCẟ, de la molécule c-Src et du stress oxydatif a permis d’inhiber significativement la surexpression protéique endogène de ces RTKs. De plus, l’inhibition de l’expression protéique de l’EGFR et de la molécule c-Src par des siRNA spécifiques atténue significativement le taux d’expression protéique élevé de Gqα et de PLCβ1 ainsi que le taux de synthèse protéique élevé dans les CMLVs de SHR. Des siRNAs spécifiques à la PKCẟ ont permis d’atténuer significativement le taux de synthèse protéique élevé dans les CMLVs de SHR et confirment le rôle important de la PKCẟ dans les mécanismes moléculaires de l’hypertrophie des CMLVs selon une voie dépendante du stress oxydatif. En conclusion, ces résultats suggèrent un rôle important de l’activation endogène de l’axe Gqα-PLCβ-PKCẟ dans le processus d’hypertrophie vasculaire selon un mécanisme impliquant une activation endogène des récepteurs AT1/ETa, de la molécule c-Src, du stress oxidatif, des RTKs et des MAPKs.

Proceedings of the Society for Experimental Biology and Medicine

List of members in each volume

Humane biology projects.

Includes bibliography.

Studies on the biology of the Texas-fever tick /

Bibliography: p. 38-39.

Studies on the biology of the Texas fever tick : supplementary report /

"September 9, 1912."

Molecular phylogeny and biogeography of the dung beetle genus Temnoplectron Westwood (Scarabaeidae: Scarabaeinae) from Australia’s wet tropics

The landscape of the Australian Wet Tropics can be described as islands of montane rainforest Surrounded by warmer or more xeric habitats. Historical glaciation cycles have caused expansion and contraction of these rainforest islands leading to consistent patterns of genetic divergence within species of vertebrates. To explore whether this dynamic history has promoted speciation in endemic and diverse groups Of insects, we used a combination of mtDNA sequencing and morphological characters to estimate relationships and the tempo of divergence among Australian representatives of the dung beetle genus Temnoplectron. This phylogenetic hypothesis shares a number of well-supported clades with a previously published phylogenetic hypothesis based on morphological data. though statistical support for several nodes is weak. Sister species relationships well-supported in both tree topologies. and a tree obtained by combining the two data sets. suggest that speciation has mostly been allopatric. We identify a number of speciation barriers, which coincide with phylogeographic breaks found in vertebrate species. Large sequence divergences between species emphasize that speciation events are ancient (pre-Pleistocene). The flightless, rainforest species appear to have speciated rapidly. but also in the distant past. (C) 2003 Elsevier Inc. All rights reserved.

On systems thinking, systems biology and the in Silico Plant

The recent summary report of a Department of Energy Workshop on Plant Systems Biology (P.V. Minorsky [2003] Plant Physiol 132: 404-409) offered a welcomed advocacy for systems analysis as essential in understanding plant development, growth, and production. The goal of the Workshop was to consider methods for relating the results of molecular research to real-world challenges in plant production for increased food supplies, alternative energy sources, and environmental improvement. The rather surprising feature of this report, however, was that the Workshop largely overlooked the rich history of plant systems analysis extending over nearly 40 years (Sinclair and Seligman, 1996) that has considered exactly those challenges targeted by the Workshop. Past systems research has explored and incorporated biochemical and physiological knowledge into plant simulation models from a number of perspectives. The research has resulted in considerable understanding and insight about how to simulate plant systems and the relative contribution of various factors in influencing plant production. These past activities have contributed directly to research focused on solving the problems of increasing biomass production and crop yields. These modeling approaches are also now providing an avenue to enhance integration of molecular genetic technologies in plant improvement (Hammer et al., 2002).

Trait physiology and crop modelling as a framework to link phenotypic complexity to underlying genetic systems

New tools derived from advances in molecular biology have not been widely adopted in plant breeding for complex traits because of the inability to connect information at gene level to the phenotype in a manner that is useful for selection. In this study, we explored whether physiological dissection and integrative modelling of complex traits could link phenotype complexity to underlying genetic systems in a way that enhanced the power of molecular breeding strategies. A crop and breeding system simulation study on sorghum, which involved variation in 4 key adaptive traits-phenology, osmotic adjustment, transpiration efficiency, stay-green-and a broad range of production environments in north-eastern Australia, was used. The full matrix of simulated phenotypes, which consisted of 547 location-season combinations and 4235 genotypic expression states, was analysed for genetic and environmental effects. The analysis was conducted in stages assuming gradually increased understanding of gene-to-phenotype relationships, which would arise from physiological dissection and modelling. It was found that environmental characterisation and physiological knowledge helped to explain and unravel gene and environment context dependencies in the data. Based on the analyses of gene effects, a range of marker-assisted selection breeding strategies was simulated. It was shown that the inclusion of knowledge resulting from trait physiology and modelling generated an enhanced rate of yield advance over cycles of selection. This occurred because the knowledge associated with component trait physiology and extrapolation to the target population of environments by modelling removed confounding effects associated with environment and gene context dependencies for the markers used. Developing and implementing this gene-to-phenotype capability in crop improvement requires enhanced attention to phenotyping, ecophysiological modelling, and validation studies to test the stability of candidate genetic regions.