Connexin 36 mediates blood cell flow in mouse pancreatic islets.

The insulin-secreting ß-cells are contained within islets of Langerhans, which are highly vascularized. Blood cell flow rates through islets are glucose-dependent, even though there are no changes in blood cell flow within in the surrounding exocrine pancreas. This suggests a specific mechanism of glucose-regulated blood flow in the islet. Pancreatic islets respond to elevated glucose with synchronous pulses of electrical activity and insulin secretion across all ß-cells in the islet. Connexin 36 (Cx36) gap junctions between islet ß-cells mediate this synchronization, which is lost in Cx36 knockout mice (Cx36(-/-)). This leads to glucose intolerance in these mice, despite normal plasma insulin levels and insulin sensitivity. Thus, we sought to investigate whether the glucose-dependent changes in intraislet blood cell flow are also dependent on coordinated pulsatile electrical activity. We visualized and quantified blood cell flow using high-speed in vivo fluorescence imaging of labeled red blood cells and plasma. With the use of a live animal glucose clamp, blood cell flow was measured during either hypoglycemia (∼50 mg/dl) or hyperglycemia (∼300 mg/dl). In contrast to the large glucose-dependent islet blood velocity changes observed in wild-type mice, only minimal differences are observed in both Cx36(+/-) and Cx36(-/-) mice. This observation supports a novel model where intraislet blood cell flow is regulated by the coordinated electrical activity in the islet ß-cells. Because Cx36 expression and function is reduced in type 2 diabetes, the resulting defect in intraislet blood cell flow regulation may also play a significant role in diabetic pathology.

A motion correction framework for time series sequences in microscopy images.

With the advent of in vivo laser scanning fluorescence microscopy techniques, time-series and three-dimensional volumes of living tissue and vessels at micron scales can be acquired to firmly analyze vessel architecture and blood flow. Analysis of a large number of image stacks to extract architecture and track blood flow manually is cumbersome and prone to observer bias. Thus, an automated framework to accomplish these analytical tasks is imperative. The first initiative toward such a framework is to compensate for motion artifacts manifest in these microscopy images. Motion artifacts in in vivo microscopy images are caused by respiratory motion, heart beats, and other motions from the specimen. Consequently, the amount of motion present in these images can be large and hinders further analysis of these images. In this article, an algorithmic framework for the correction of time-series images is presented. The automated algorithm is comprised of a rigid and a nonrigid registration step based on shape contexts. The framework performs considerably well on time-series image sequences of the islets of Langerhans and provides for the pivotal step of motion correction in the further automatic analysis of microscopy images.

A Murine Model to Study Epilepsy and SUDEP Induced by Malaria Infection.

One of the largest single sources of epilepsy in the world is produced as a neurological sequela in survivors of cerebral malaria. Nevertheless, the pathophysiological mechanisms of such epileptogenesis remain unknown and no adjunctive therapy during cerebral malaria has been shown to reduce the rate of subsequent epilepsy. There is no existing animal model of postmalarial epilepsy. In this technical report we demonstrate the first such animal models. These models were created from multiple mouse and parasite strain combinations, so that the epilepsy observed retained universality with respect to genetic background. We also discovered spontaneous sudden unexpected death in epilepsy (SUDEP) in two of our strain combinations. These models offer a platform to enable new preclinical research into mechanisms and prevention of epilepsy and SUDEP.

Comparison of vibrational spectroscopy to biochemical and flow cytometry methods for analysis of the basic biochemical composition of mammalian cells.

We have conducted an extensive comparison of cellular biochemical composition obtained from infrared and Raman spectra of intact cells with measurements using standard extraction and chemical analysis (including NMR), and flow cytometric assay on fixed cells. Measurements were conducted on a rat fibroblast carcinogenesis model consisting of normal and tumorigenic cells assayed as exponentially growing and plateau-phase cultures. Estimates of protein, DNA, RNA, lipids, and glycogen amounts were obtained from a previous publication in which vibrational spectra were fit to a set of basis spectra representing protein, DNA, RNA, lipids, and glycogen. The Raman spectral estimates of absolute cellular composition were quite similar to the independent biochemical and flow cytometric assays. The infrared spectra gave similar results for protein, lipid, and glycogen but underestimated the DNA content while overestimating the RNA level. When ratios of biochemical concentrations in exponential and plateau-phase cultures were examined, the Raman spectroscopic results were the same, within errors, as the independent methods, in all cases. Several changes in relative biochemical composition due to tumorigenic and proliferative status previously reported using vibrational spectroscopy were confirmed by the independent methods. These results demonstrate that vibrational spectroscopy can provide reliable estimates of the biochemical composition of mammalian cells.

Biochemical differences in tumorigenic and nontumorigenic cells measured by Raman and infrared spectroscopy.

Both infrared and Raman spectroscopies have the potential to noninvasively estimate the biochemical composition of mammalian cells, although this cannot be unambiguously determined from analysis approaches such as peak assignment or multivariate classification methods. We have developed a fitting routine that determines biochemical composition using basis spectra for the major types of biochemicals found in mammalian cells (protein, DNA, RNA, lipid and glycogen), which is shown to be robust and reproducible. We measured both infrared and Raman spectra of viable suspensions of pairs of nontumorigenic and tumorigenic rat fibroblast cell lines. To model in vivo conditions, we compared nonproliferating, nontumorigenic cells to proliferating, tumorigenic cells. Reproducible differences in biochemical composition were found for both nontumorigenic/tumorigenic cell models, using both spectroscopic techniques. These included an increased fraction of protein and nucleic acids in the tumorigenic cells, with a corresponding decrease in lipid and glycogen fractions. Measurements of each cell type in both the proliferating and nonproliferating states showed that proliferative status was the major determinant of differences in vibrational spectra, rather than tumorigenicity per se. The smallness of the spectral changes associated with tumorgenicity may be due to the subtle nature of the oncogenic change in this system (a single mutant oncogene).

Methods for measuring the infrared spectra of biological cells.

Infrared (IR) spectroscopy of biological cells is a growing area of research, with many papers focusing on differences between the spectra of cancerous and noncancerous cells. Much of this research has been performed using a monolayer of dehydrated cells. We posit that the use of monolayers can introduce artefacts that lead to an apparent but inaccurate measurement of differences between cancerous and noncancerous cells. Additionally, the use of dried cells complicates the extraction of biochemical information from the IR spectra. We demonstrate that using suspensions of viable cells in aqueous suspension reduces measurement artefacts and facilitates determining the concentration of the major biochemical components via a linear least-squares fit of the component spectra to the spectrum of the cells.

Rapid extravasation and establishment of breast cancer micrometastases in the liver microenvironment.

To examine the interplay between tumor cells and the microenvironment during early breast cancer metastasis, we developed a technique for ex vivo imaging of murine tissue explants using two-photon microscopy. Cancer cells in the liver and the lung were compared by imaging both organs at specific time points after the injection of the same polyomavirus middle T-initiated murine mammary tumor cell line. Extravasation was greatly reduced in the lung compared with the liver, with 56% of tumor cells in the liver having extravasated by 24 hours, compared with only 22% of tumor cells in the lung that have extravasated. In the liver, imaged cells continually transitioned from an intravascular location to an extravascular site, whereas in the lung, extravasation rates slowed after 6 hours. Within the liver microenvironment, the average size of the imaged micrometastatic lesions increased 4-fold between days 5 and 12. Histologic analysis of these lesions determined that by day 12, the micrometastases were heterogeneous, consisting of both tumor cells and von Willebrand factor-positive endothelial cells. Further analysis with intravenously administered lectin indicated that vessels within the micrometastatic tumor foci were patent by day 12. These data present the use of two-photon microscopy to directly compare extravasation times in metastatic sites using the same tumor cell line and highlight the differences in early events and metastatic patterns between two important secondary sites of breast cancer progression with implications for future therapy.

Design, cytotoxic and fluorescent properties of novel N-phosphorylalkyl substituted E,E-3,5-bis(arylidene)piperid-4-ones.

A series of E,E-N-phosphorylalkylene-3,5-bis(arylidene)piperid-4-ones 7a-k was prepared via the condensation of aromatic aldehydes with omega-aminophosphonates 5a-c and 6a,b bearing piperidone or a protected piperidone moiety, respectively. The synthetic routes to the starting aminophosphonates 5a-c and 6a,b varied depending on the number of methylene groups in the alkylene chain and comprised the Kabachnik-Fields reaction (n=1), the aza-Michael reaction (n=2) or alkylation of 4-piperidone hydrochloride with diethyl omega-bromoalkylphosphonates under phase transfer catalysis conditions (n=3,4). Phosphoryl substituted 3,5-bis(arylidene)piperid-4-ones 7b,c,e,f,h,i,k bearing both nitro groups and fluorine atoms in the para-position of the arene rings possess cytotoxicity toward human carcinoma cell lines CaOv3, Scov3, PC3 and A549 in the low micromolar range while their analogues having para-dimethylamino groups had IC(50) values greater than 50 microM. In contrast, only Me(2)N-substituted phosphonates 7g,j (n=3 and 4) and the salts of Me(2)N-substituted phosphonic acids 10c,f (n=2 and 3) display fluorescence.

Raman spectroscopy detects biochemical changes due to proliferation in mammalian cell cultures.

Raman spectra of cells and nuclei from cultures in the plateau (nonproliferating) and exponential (proliferating) phases of growth were measured and show that Raman spectroscopy can monitor changes due to cell proliferation. A simple fitting routine was developed using a basis set (lipid, protein, DNA, RNA) to estimate the relative amounts of biochemical components in cells and nuclei. Using relative amounts and ratios of biochemical components, reproducible differences can be detected and quantified that are not readily apparent by visual analysis of vibrational bands in the spectra. These differences, due to cell proliferation, can be assigned to specific biochemical changes. They include a decrease in the relative lipid and increases in the relative protein and RNA for both nontumorigenic exponential cells and nuclei, and an increase in the relative RNA for tumorigenic exponential cells. The lipid/RNA ratio decreases for nontumorigenic exponential cells and nuclei and tumorigenic exponential cells. The protein/lipid ratio increases for both tumorigenic and nontumorigenic exponential cells and nuclei. Finally, the lipid/DNA ratio decreases for tumorigenic exponential nuclei. This knowledge will be important for Raman detection of rapidly dividing populations of cancer cells in vivo.