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Cell biologists strive to characterize molecular interactions directly in the intracellular environment. The intrinsic resolution of optical microscopy, however, allows visualization of only coarse subcellular localization. By extracting information from molecular dynamics, fluorescence cross-correlation spectroscopy (FCCS) grants access to processes on a molecular scale, such as diffusion, binding, enzymatic reactions and codiffusion, and has become a valuable tool for studies in living cells. Here we review basic principles of FCCS and focus on seminal applications, including examples of intracellular signaling and trafficking. We consider FCCS in the context of fluorescence resonance energy transfer and multicolor imaging techniques and discuss application strategies and recent technical advances.

Patients with locally advanced/inflammatory breast cancer (LABC/IBC) face a high likelyhood of recurrence and prognosis for relapsed, or de novo stage IV metastatic breast cancer (MBC) remains poor. Estrogen (ER) and HER2 receptor expression on primary or MBC allow targeted therapies, but an estimated 10–18% of tumors do not exhibit these biomarkers and survival in these cases is even poorer. Variations in discordance rates for the expression of ER and HER2 receptors have been observed between primary and metastatic tumors and such discordances may lead to suboptimal treatment. Circulating tumor cells (CTCs) are considered the seeds of residual disease and distant metastases and their characterization could help guide treatment selection. To explore this possibility, we used multiple biomarker assessment of CTCs in comparison to primary and metastatic tumor sites. Thirty-six patients with LABC/IBC, or stage IV MBC were evaluated. Blood samples were procured prior to initiating or changing therapy. CTCs were identified based on presence of cytokeratin and nucleus staining, and the absence of CD45. A multimarker assay was developed to simultaneously quantify expression of HER2, ER, and ERCC1, a DNA excision repair protein. Novel fiber-optic array scanning technology (FAST) was used for sensitive location of CTCs. CTCs were detected in 82% of MBC and 62% LABC/IBC cases. Multiplex marker expression was successfully carried out in samples from18 patients with MBC and in 8 patients with LABC/IBC that contained CTCs. In MBC, we detected actionable discordance rates of 40 and 23%, respectively for ER and HER2 where a biomarker was negative in the primary or metastatic tumor and positive in the CTCs. In LABC/IBC, actionable discordances were 60 and 20% for ER and HER2, respectively. Pilot trials evaluating the effectiveness of treatment selections based on actionable discordances between biomarker expression patterns on CTCs and primary or metastatic tumor sites may allow for a prospective assessment of CTC-based individualized targeted therapies.

Objective Flow and laser scanning cytometry are used extensively in research and clinical settings. These techniques provide clinicians and scientists information about cell functioning in a variety of health and disease states. An in-depth knowledge and understanding of cytometry techniques can enhance interpretation of current research findings. Our goal with this review is to reacquaint clinicians and scientists with information concerning differences between flow and laser scanning cytometry by comparing their capabilities and applications. Methods A Pubmed abstract search was conducted for articles on research, reviews and current texts relating to origins and use of flow and laser scanning cytometry. Attention was given to studies describing application of these techniques in the clinical setting. Results Both techniques exploit interactions between the physical properties of light. Data are immediately and automatically acquired; they are distinctly different. Flow cytometry provides valuable rapid information about a wide variety of cellular or particle characteristics. This technique does not provide the scanned high resolution image analysis needed for investigators to localize areas of interest within the cell for quantification. Flow cytometry requires that the sample contain a large amount disaggregated, single, suspended cells. Laser scanning cytometry is slide-based and does not require as large of a sample. The tissue sample is affixed to a slide allowing repeated sample analyses. These cytometry techniques are used in the clinical setting to understand pathophysiological derangements associated with many diseases; cardiovascular disease, diabetes, acute lung injury, hemorrhagic shock, surgery, cancer and Alzheimer’s disease. Conclusions Understanding the dif- ferences between FCM and LSCM can assist investigators in planning and design of their research or clinical testing. Researchers and clinicians optimize these technique capa- bilities with the cellular characteristics they wish to measure delineating molecular and cellular events occurring in health and disease. Discovery of mechanisms in cells using FCM and LSCM provide evidence needed to guide future treatment and interventions.

Cell type–specific green fluorescent protein (GFP) expression in the retina has been achieved in an expanding repertoire of transgenic mouse lines, which are valuable tools for dissecting the retinal circuitry. However, measuring light responses from GFP-labeled cells is challenging because single-photon excitation of GFP easily bleaches photoreceptors. To circumvent this problem, we use two-photon excitation at 920 nm to target GFP-expressing cells, followed by electrophysiological recording of light responses using conventional infrared optics. This protocol offers fast and sensitive detection of GFP while preserving the light sensitivity of the retina, and can be used to obtain light responses and the detailed morphology of a GFP-expressing cell. Targeting of a GFP-expressing neuron takes less than 3 min, and the retina preparation remains light sensitive and suitable for recording for at least 8 h. This protocol can also be applied to study retinal neurons labeled with other two photon–excitable fluorophores. It is assumed that potential users of this protocol will have a basic understanding of retinal physiology and patch-clamp recording, which are not described in detail here.

In this article, Margaret Harnett describes the technology of laser scanning cytometry and outlines the benefits of this technique in allowing the detection of signalling and functional events that occur during cell–cell interactions in situ . Flow cytometry allows quantitative analysis of the identity and effector function of individual cells. However, it cannot provide information on cellular responses that occur within physiological tissue microenvironments. Laser scanning cytometry is an emerging technology that allows imaging and quantitative analysis of individual cells in tissues in situ . This article describes the technology and its potential for delineating the molecular and cellular events underpinning the immune response in health and disease.

The vast majority of microscopic data in biology of the cell nucleus is currently collected using fluorescence microscopy, and most of these data are subsequently subjected to quantitative analysis. The analysis process unites a number of steps, from image acquisition to statistics, and at each of these steps decisions must be made that may crucially affect the conclusions of the whole study. This often presents a really serious problem because the researcher is typically a biologist, while the decisions to be taken require expertise in the fields of physics, computer image analysis, and statistics. The researcher has to choose between multiple options for data collection, numerous programs for preprocessing and processing of images, and a number of statistical approaches. Written for biologists, this article discusses some of the typical problems and errors that should be avoided. The article was prepared by a team uniting expertise in biology, microscopy, image analysis, and statistics. It considers the options a researcher has at the stages of data acquisition (choice of the microscope and acquisition settings), preprocessing (filtering, intensity normalization, deconvolution), image processing (radial distribution, clustering, co-localization, shape and orientation of objects), and statistical analysis.

Mitochondrial DNA (mtDNA) mutations have been associated with disease and aging. Since each cell has thousands of mtDNA copies, clustered into nucleoids of five to ten mtDNA molecules each, determining the effects of a given mtDNA mutation and their connection with disease phenotype is not straightforward. It has been postulated that heteroplasmy (coexistence of mutated and wild-type DNA) follows simple probability rules dictated by the random distribution of mtDNA molecules at the nucleoid level. This model has been used to explain how mutation levels correlate with the onset of disease phenotype and loss of cellular function. Nonetheless, experimental evidence of heteroplasmy at the nucleoid level is scarce. Here, we report a new method to determine heteroplasmy of individual mitochondrial particles containing one or more nucleoids. The method uses capillary cytometry with laser-induced fluorescence detection to detect individual mitochondrial particles stained with PicoGreen, which makes it possible to quantify the mtDNA copy number of each particle. After detection, one or more particles are collected into polymerase chain reaction (PCR) wells and then subjected to real-time multiplexed PCR amplification. This PCR strategy is suitable to obtain the relative abundance of mutated and wild-type mtDNA. The results obtained here indicate that individual mitochondrial particles and nucleoids contained within these particles are not heteroplasmic. The results presented here suggest that current models of mtDNA segregation and distribution (i.e., heteroplasmic nucleoids) need further consideration. [graphic removed]

Differentiated cells from human embryonic stem cells (hESCs) provide an unlimited source of cells for use in regenerative medicine. The recent derivation of human induced pluripotent cells (hiPSCs) provides a potential supply of pluripotent cells that avoid immune rejection and could provide patient-tailored therapy. In addition, the use of pluripotent cells for drug screening could enable routine toxicity testing and evaluation of underlying disease mechanisms. However, prior to establishment of patient specific cells for cell therapy it is important to understand the basic regulation of cell fate decisions in hESCs. One critical issue that hinders the use of these cells is the fact that hESCs survive poorly upon dissociation, which limits genetic manipulation because of poor cloning efficiency of individual hESCs, and hampers production of large-scale culture of hESCs. To address the problems associated with poor growth in culture and our lack of understanding of what regulates hESC signaling, we successfully developed a screening platform that allows for large scale screening for small molecules that regulate survival. In this work we developed the first large scale platform for hESC screening using laser scanning cytometry and were able to validate this platform by identifying the pro-survival molecule HA-1077. These small molecules provide targets for both improving our basic understanding of hESC survival as well as a tool to improve our ability to expand and genetically manipulate hESCs for use in regenerative applications.

By examining the activity of layer 2/3 excitatory neurons in the mouse primary visual cortex, the authors demonstrate that learning enhances the relative impact of top-down processing by the retrosplenial cortex while reducing the influence of the bottom-up stream from layer 4 excitatory neurons. This effect is partially mediated by somatostatin-expressing inhibitory neurons. Theories have proposed that, in sensory cortices, learning can enhance top-down modulation by higher brain areas while reducing bottom-up sensory drives. To address circuit mechanisms underlying this process, we examined the activity of layer 2/3 (L2/3) excitatory neurons in the mouse primary visual cortex (V1) as well as L4 excitatory neurons, the main bottom-up source, and long-range top-down projections from the retrosplenial cortex (RSC) during associative learning over days using chronic two-photon calcium imaging. During learning, L4 responses gradually weakened, whereas RSC inputs became stronger. Furthermore, L2/3 acquired a ramp-up response temporal profile, potentially encoding the timing of the associated event, which coincided with a similar change in RSC inputs. Learning also reduced the activity of somatostatin-expressing inhibitory neurons (SOM-INs) in V1 that could potentially gate top-down inputs. Finally, RSC inactivation or SOM-IN activation was sufficient to partially reverse the learning-induced changes in L2/3. Together, these results reveal a learning-dependent dynamic shift in the balance between bottom-up and top-down information streams and uncover a role of SOM-INs in controlling this process.

Understanding the nature of interactions between engineered nanomaterials and plants is crucial in comprehending the impact of nanotechnology on the environment and agriculture with a focus on toxicity concerns, plant disease treatment, and genetic engineering. To date, little progress has been made in studying nanoparticle-plant interactions at single nanoparticle and genetic levels. Here, we introduce an advanced platform integrating genetic, Raman, photothermal, and photoacoustic methods. Using this approach, we discovered that multiwall carbon nanotubes induce previously unknown changes in gene expression in tomato leaves and roots, particularly, up-regulation of the stress-related genes, including those induced by pathogens and the water-channel LeAqp2 gene. A nano-bubble amplified photothermal/photoacoustic imaging, spectroscopy, and burning technique demonstrated the detection of multiwall carbon nanotubes in roots, leaves, and fruits down to the single nanoparticle and cell level. Thus, our integrated platform allows the study of nanoparticles' impact on plants with higher sensitivity and specificity, compared to existing assays.