@article {69755, title = {Quantitative profiling pH heterogeneity of acidic endolysosomal compartments using fluorescence lifetime imaging microscopy.}, journal = {Mol Biol Cell}, year = {2025}, month = {2025 Jan 29}, pages = {mbcE23060220}, abstract = {

The endo-lysosomal system plays a crucial role in maintaining cellular homeostasis and promoting organism fitness. The pH of its acidic compartments is a crucial parameter for proper function, and it is dynamically influenced by both intracellular and environmental factors. Here, we present a method based on fluorescence lifetime imaging microscopy (FLIM) for quantitatively analyzing the pH profiles of acidic endolysosomal compartments in diverse types of primary mammalian cells and in live organism . This FLIM-based method exhibits high sensitivity in resolving subtle pH differences, thereby revealing heterogeneity within a cell and across cell types. This method enables rapid measurement of pH changes in the acidic endolysosomal system in response to various environmental stimuli. Furthermore, the fast FLIM measurement of pH-sensitive dyes circumvents the need for transgenic reporters and mitigates potential confounding factors associated with varying dye concentrations or excitation light intensity. This FLIM approach offers absolute pH quantification and highlights the significance of pH heterogeneity and dynamics, offering a valuable tool for investigating lysosomal functions and their regulation in various physiological and pathological contexts.

}, issn = {1939-4586}, doi = {10.1091/mbc.E23-06-0220}, author = {Deng, Dinghuan and Guan, Youchen and Mutlu, Ayse Sena and Wang, Baiping and Gao, Shihong Max and Zheng, Hui and Wang, Meng C} } @article {69904, title = {Quantitative spatial analysis of chromatin biomolecular condensates using cryoelectron tomography.}, journal = {Proc Natl Acad Sci U S A}, volume = {122}, year = {2025}, month = {2025 May 13}, pages = {e2426449122}, abstract = {

Phase separation is an important mechanism to generate certain biomolecular condensates and organize the cell interior. Condensate formation and function remain incompletely understood due to difficulties in visualizing the condensate interior at high resolution. Here, we analyzed the structure of biochemically reconstituted chromatin condensates through cryoelectron tomography. We found that traditional blotting methods of sample preparation were inadequate, and high-pressure freezing plus focused ion beam milling was essential to maintain condensate integrity. To identify densely packed molecules within the condensate, we integrated deep learning-based segmentation with context-aware template matching. Our approaches were developed on chromatin condensates and were also effective on condensed regions of in situ native chromatin. Using these methods, we determined the average structure of nucleosomes to 6.1 and 12 {\r A} resolution in reconstituted and native systems, respectively, found that nucleosomes form heterogeneous interaction networks in both cases, and gained insight into the molecular origins of surface tension in chromatin condensates. Our methods should be applicable to biomolecular condensates containing large and distinctive components in both biochemical reconstitutions and certain cellular systems.

Preprint:\ https://www.biorxiv.org/content/10.1101/2024.12.01.626131v2

}, keywords = {Animals, Biomolecular Condensates, Chromatin, Cryoelectron Microscopy, Electron Microscope Tomography, Nucleosomes}, issn = {1091-6490}, doi = {10.1073/pnas.2426449122}, url = {https://doi.org/10.1073/pnas.2426449122}, author = {Zhou, Huabin and Hutchings, Joshua and Shiozaki, Momoko and Zhao, Xiaowei and Doolittle, Lynda K and Yang, Shixin and Yan, Rui and Jean, Nikki and Riggi, Margot and Yu, Zhiheng and Villa, Elizabeth and Rosen, Michael K} } @article {69689, title = {Quantitative Attributions with Counterfactuals}, journal = {bioRxiv}, year = {2024}, month = {2024 Dec 02}, abstract = {

We address the problem of explaining the decision process of deep neural network classifiers on images, which is of particular importance in biomedical datasets where class-relevant differences are not always obvious to a human observer. Our proposed solution, termed quantitative attribution with counterfactuals (QuAC), generates visual explanations that highlight class-relevant differences by attributing the classifier decision to changes of visual features in small parts of an image. To that end, we train a separate network to generate counterfactual images (i.e., to translate images between different classes). We then find the most important differences using novel discriminative attribution methods. Crucially, QuAC allows scoring of the attribution and thus provides a measure to quantify and compare the fidelity of a visual explanation. We demonstrate the suitability and limitations of QuAC on two datasets: (1) a synthetic dataset with known class differences, representing different levels of protein aggregation in cells and (2) an electron microscopy dataset of D. melanogaster synapses with different neurotransmitters, where QuAC reveals so far unknown visual differences. We further discuss how QuAC can be used to interrogate mispredictions to shed light on unexpected inter-class similarities and intra-class differences.

}, doi = {10.1101/2024.11.26.625505}, url = {https://doi.org/10.1101/2024.11.26.625505}, author = {Adjavon, Diane-Yayra and Eckstein, Nils and Bates, Alexander S. and Jefferis, Gregory S.X.E. and Funke, Jan} } @article {69688, title = {Quantitative Spatial Analysis of Chromatin Biomolecular Condensates using Cryo-Electron Tomography}, journal = {bioRxiv}, year = {2024}, month = {2024 Dec 02}, abstract = {

Phase separation is an important mechanism to generate certain biomolecular condensates and organize the cell interior. Condensate formation and function remain incompletely understood due to difficulties in visualizing the condensate interior at high resolution. Here we analyzed the structure of biochemically reconstituted chromatin condensates through cryo-electron tomography. We found that traditional blotting methods of sample preparation were inadequate, and high-pressure freezing plus focused ion beam milling was essential to maintain condensate integrity. To identify densely packed molecules within the condensate, we integrated deep learning-based segmentation with novel context-aware template matching. Our approaches were developed on chromatin condensates, and were also effective on condensed regions of in situ native chromatin. Using these methods, we determined the average structure of nucleosomes to 6.1 and 12 {\r A} resolution in reconstituted and native systems, respectively, and found that nucleosomes have a nearly random orientation distribution in both cases. Our methods should be applicable to diverse biochemically reconstituted biomolecular condensates and to some condensates in cells.

}, doi = {10.1101/2024.12.01.626131}, url = {https://doi.org/10.1101/2024.12.01.626131}, author = {Zhou, Huabin and Hutchings, Joshua and Shiozaki, Momoko and Zhao, Xiaowei and Doolittle, Lynda K. and Yang, Shixin and Yan, Rui and Jean, Nikki and Riggi, Margot and Yu, Zhiheng and Villa, Elizabeth and Rosen, Michael K.} } @article {69011, title = {Quantitative Profiling of Lysosomal pH Heterogeneity using Fluorescence Lifetime Imaging Microscopy}, journal = {bioRxiv}, year = {2023}, month = {2023 Sep 26}, abstract = {

Lysosomes play crucial roles in maintaining cellular homeostasis and promoting organism fitness. The pH of lysosomes is a crucial parameter for their proper function, and it is dynamically influenced by both intracellular and environmental factors. Here, we present a method based on fluorescence lifetime imaging microscopy (FLIM) for quantitatively analyzing lysosomal pH profiles in diverse types of primary mammalian cells and in different tissues of the live organism Caenorhabditis elegans. This FLIM-based method exhibits high sensitivity in resolving subtle pH differences, thereby revealing the heterogeneity of the lysosomal population within a cell and between cell types. The method enables rapid measurement of lysosomal pH changes in response to various environmental stimuli. Furthermore, the FLIM measurement of pH-sensitive dyes circumvents the need for transgenic reporters and mitigates potential confounding factors associated with varying dye concentrations or excitation light intensity. This FLIM approach offers absolute quantification of lysosomal pH and highlights the significance of lysosomal pH heterogeneity and dynamics, providing a valuable tool for studying lysosomal functions and their regulation in various physiological and pathological contexts.

}, doi = {10.1101/2023.09.25.559395}, url = {https://doi.org/10.1101/2023.09.25.559395}, author = {Dinghuan Deng and Youchen Guan and Baiping Wang and Hui Zheng and Ayse Sena Mutlu and Meng Carla Wang} } @article {67989, title = {Quantifying Molecular Dynamics within Complex Cellular Morphologies using LLSM-FRAP.}, journal = {Small Methods}, year = {2022}, month = {2022 Jun 01}, pages = {e2200149}, abstract = {

Quantifying molecular dynamics within the context of complex cellular morphologies is essential toward understanding the inner workings and function of cells. Fluorescence recovery after photobleaching (FRAP) is one of the most broadly applied techniques to measure the reaction diffusion dynamics of molecules in living cells. FRAP measurements typically restrict themselves to single-plane image acquisition within a subcellular-sized region of interest due to the limited temporal resolution and undesirable photobleaching induced by 3D fluorescence confocal or widefield microscopy. Here, an experimental and computational pipeline combining lattice light sheet microscopy, FRAP, and numerical simulations, offering rapid and minimally invasive quantification of molecular dynamics with respect to 3D cell morphology is presented. Having the opportunity to accurately measure and interpret the dynamics of molecules in 3D with respect to cell morphology has the potential to reveal unprecedented insights into the function of living cells.

}, issn = {2366-9608}, doi = {10.1002/smtd.202200149}, author = {Colin-York, Huw and Heddleston, John and Wait, Eric and Karedla, Narain and DeSantis, Michael and Khuon, Satya and Chew, Teng-Leong and Sbalzarini, Ivo F and Fritzsche, Marco} } @article {67295, title = {QUAREP-LiMi: a community endeavor to advance quality assessment and reproducibility in light microscopy.}, journal = {Nature Methods}, year = {2021}, month = {2021 May 21}, issn = {1548-7105}, doi = {10.1038/s41592-021-01162-y}, author = {Ulrike Boehm and Nelson, Glyn and Brown, Claire M and Bagley, Steve and Bajcsy, Peter and Bischof, Johanna and Dauphin, Aurelien and Dobbie, Ian M and Eriksson, John E and Faklaris, Orestis and Fernandez-Rodriguez, Julia and Ferrand, Alexia and Gelman, Laurent and Gheisari, Ali and Hartmann, Hella and Kukat, Christian and Laude, Alex and Mitkovski, Miso and Munck, Sebastian and North, Alison J and Rasse, Tobias M and Resch-Genger, Ute and Schuetz, Lucas C and Seitz, Arne and Strambio-De-Castillia, Caterina and Swedlow, Jason R and Nitschke, Roland} } @article {66009, title = {QUAREP-LiMi: A community-driven initiative to establish guidelines for quality assessment and reproducibility for instruments and images in light microscopy}, journal = {Journal of Microscopy}, volume = {284}, year = {2021}, month = {2021 Oct 01}, pages = {56-73}, abstract = {

In April 2020, the QUality Assessment and REProducibility for Instruments and Images in Light Microscopy (QUAREP-LiMi) initiative was formed. This initiative comprises imaging scientists from academia and industry who share a common interest in achieving a better understanding of the performance and limitations of microscopes and improved quality control (QC) in light microscopy. The ultimate goal of the QUAREP-LiMi initiative is to establish a set of common QC standards, guidelines, metadata models, and tools, including detailed protocols, with the ultimate aim of improving reproducible advances in scientific research. This White Paper 1) summarizes the major obstacles identified in the field that motivated the launch of the QUAREP-LiMi initiative; 2) identifies the urgent need to address these obstacles in a grassroots manner, through a community of stakeholders including, researchers, imaging scientists, bioimage analysts, bioimage informatics developers, corporate partners, funding agencies, standards organizations, scientific publishers, and observers of such; 3) outlines the current actions of the QUAREP-LiMi initiative, and 4) proposes future steps that can be taken to improve the dissemination and acceptance of the proposed guidelines to manage QC. To summarize, the principal goal of the QUAREP-LiMi initiative is to improve the overall quality and reproducibility of light microscope image data by introducing broadly accepted standard practices and accurately captured image data metrics.

}, url = {https://arxiv.org/abs/2101.09153}, author = {Glyn Nelson and Ulrike Boehm and Steve Bagley and Peter Bajcsy and Johanna Bischof and Claire M Brown and Aurelien Dauphin and Ian M Dobbie and John E Eriksson and Orestis Faklaris and Julia Fernandez-Rodriguez and Alexia Ferrand and Ali Gheisari and Hella Hartmann and Christian Kukat and Alex Laude and Miso Mitkovski and Sebastian Munck and Alison J North and Tobias M Rasse and Ute Resch-Genger and Lucas C Schuetz and Arne Seitz and Caterina Strambio-De-Castillia and Jason R Swedlow and Ioannis Alexopoulos and Karin Aumayr and Sergiy Avilov and Gert-Jan Bakker and Rodrigo R Bammann and Andrea Bassi and Hannes Beckert and Sebastian Beer and Yury Belyaev and Jakob Bierwagen and Konstantin A Birngruber and Manel Bosch and Juergen Breitlow and Lisa A Cameron and Joe Chalfoun and James J Chambers and Chieh-Li Chen and Eduardo Conde-Sousa and Alexander D Corbett and Fabrice P Cordelieres and Elaine Del Nery and Ralf Dietzel and Frank Eismann and Elnaz Fazeli and Andreas Felscher and Hans Fried and Nathalie Gaudreault and Wah Ing Goh and Thomas Guilbert and Roland Hadleigh and Peter Hemmerich and Gerhard A Holst and Michelle S Itano and Claudia B Jaffe and Helena K Jambor and Stuart C Jarvis and Antje Keppler and David Kirchenbuechler and Marcel Kirchner and Norio Kobayashi and Gabriel Krens and Susanne Kunis and Judith Lacoste and Marco Marcell and Gabriel G Martins and Daniel J Metcalf and Claire A Mitchell and Joshua Moore and Tobias Mueller and Michael S Nelson and Stephen Ogg and Shuichi Onami and Alexandra L Palmer and Perrine Paul-Gilloteaux and Jaime A Pimentel and Laure Plantard and Santosh Podder and Elton Rexhepaj and Arnaud Royon and Markku A Saari and Damien Schapman and Vincent Schoonderwoert and Britta Schroth-Diez and Stanley Schwartz and Michael Shaw and Martin Spitaler and Martin T Stoeckl and Damir Sudar and Jeremie Teillon and Stefan Terjung and Roland Thuenauer and Christian D Wilms and Graham D Wright and Roland Nitschke and Laurent Gelman} } @article {64935, title = {Quantitative in vivo imaging of neuronal glucose concentrations with a genetically encoded fluorescence lifetime sensor.}, journal = {Journal of Neuroscience Research}, volume = {97}, year = {2019}, month = {2019 Aug 01}, pages = {946-60}, abstract = {

Glucose is an essential source of energy for the brain. Recently, the development of genetically encoded fluorescent biosensors has allowed real time visualization of glucose dynamics from individual neurons and astrocytes. A major difficulty for this approach, even for ratiometric sensors, is the lack of a practical method to convert such measurements into actual concentrations in ex vivo brain tissue or in vivo. Fluorescence lifetime imaging provides a strategy to overcome this. In a previous study, we reported the lifetime glucose sensor iGlucoSnFR-TS (then called SweetieTS) for monitoring changes in neuronal glucose levels in response to stimulation. This genetically encoded sensor was generated by combining the Thermus thermophilus glucose-binding protein with a circularly permuted variant of the monomeric fluorescent protein T-Sapphire. Here, we provide more details on iGlucoSnFR-TS design and characterization, as well as pH and temperature sensitivities. For accurate estimation of glucose concentrations, the sensor must be calibrated at the same temperature as the experiments. We find that when the extracellular glucose concentration is in the range 2-10\ mM, the intracellular glucose concentration in hippocampal neurons from acute brain slices is ~20\% of the nominal external glucose concentration (~0.4-2\ mM). We also measured the cytosolic neuronal glucose concentration in vivo, finding a range of ~0.7-2.5\ mM in cortical neurons from awake mice.

}, issn = {1097-4547}, doi = {10.1002/jnr.24433}, author = {D{\'\i}az-Garc{\'\i}a, Carlos Manlio and Lahmann, Carolina and Mart{\'\i}nez-Fran{\c c}ois, Juan Ram{\'o}n and Li, Binsen and Koveal, Dorothy and Nathwani, Nidhi and Rahman, Mahia and Keller, Jacob P and Marvin, Jonathan S and Looger, Loren L and Yellen, Gary} } @article {66013, title = {Quantitative Super-Resolution Microscopy of the Mammalian Glycocalyx}, journal = {Developmental Cell}, volume = {50}, year = {2019}, month = {Jan-07-2019}, pages = {57 - 72.e6}, abstract = {

The mammalian glycocalyx is a heavily glycosylated extramembrane compartment found on nearly every cell. Despite its relevance in both health and disease, studies of the glycocalyx remain hampered by a paucity of methods to spatially classify its components. We combine metabolic labeling, bioorthogonal chemistry, and super-resolution localization microscopy to image two constituents of cell-surface glycans,\ N-acetylgalactosamine (GalNAc) and sialic acid, with 10{\textendash}20\ nm precision in 2D and 3D. This approach enables two measurements: glycocalyx height and the distribution of individual sugars distal from the membrane. These measurements show that the glycocalyx exhibits nanoscale organization on both cell lines and primary human tumor cells. Additionally, we observe enhanced glycocalyx height in response to epithelial-to-mesenchymal transition and to oncogenic\ KRAS\ activation. In the latter case, we trace increased height to an effector gene,\ GALNT7. These data highlight the power of advanced imaging methods to provide molecular and functional insights into glycocalyx biology.

}, issn = {15345807}, doi = {10.1016/j.devcel.2019.04.035}, url = {https://www.sciencedirect.com/science/article/pii/S1534580719303326?via\%3Dihub}, author = {M{\"o}ckl, Leonhard and Pedram, Kayvon and Roy, Anish R. and Krishnan, Venkatesh and Gustavsson, Anna-Karin and Dorigo, Oliver and Bertozzi, Carolyn R. and Moerner, W.E.} } @article {48803, title = {Q\&A: The brain under a mesoscope: the forest and the trees.}, journal = {BMC Biology}, volume = {15}, year = {2017}, month = {2017 Sep 14}, pages = {82}, abstract = {

Neurons relevant to a particular behavior are often widely dispersed across the brain. To record activity in groups of individual neurons that might be distributed across large distances, neuroscientists and optical engineers have been developing a new type of microscope called a mesoscope. Mesoscopes have high spatial resolution and a large field of view. This Q\&A will discuss this exciting new technology, highlighting a particular instrument, the two-photon random access mesoscope (2pRAM).

}, issn = {1741-7007}, doi = {10.1186/s12915-017-0426-y}, author = {Sofroniew, Nicholas James} } @article {48343, title = {Quantifying transcription factor binding dynamics at the single-molecule level in live cells.}, journal = {Methods (San Diego, Calif.)}, year = {2017}, month = {2017 Mar 15}, abstract = {

Progressive, technological achievements in the quantitative fluorescence microscopy field are allowing researches from many different areas to start unraveling the dynamic intricacies of biological processes inside living cells. From super-resolution microscopy techniques to tracking of individual proteins, fluorescence microscopy is changing our perspective on how the cell works. Fortunately, a growing number of research groups are exploring single-molecule studies in living cells. However, no clear consensus exists on several key aspects of the technique such as image acquisition conditions, or analysis of the obtained data. Here, we describe a detailed approach to perform single-molecule tracking (SMT) of transcription factors in living cells to obtain key binding characteristics, namely their residence time and bound fractions. We discuss different types of fluorophores, labeling density, microscope, cameras, data acquisition, and data analysis. Using the glucocorticoid receptor as a model transcription factor, we compared alternate tags (GFP, mEOS, HaloTag, SNAP-tag, CLIP-tag) for potential multicolor applications. We also examine different methods to extract the dissociation rates and compare them with simulated data. Finally, we discuss several challenges that this exciting technique still faces.

}, issn = {1095-9130}, doi = {10.1016/j.ymeth.2017.03.014}, author = {Presman, Diego M and Ball, David A and Paakinaho, Ville and Grimm, Jonathan B and Lavis, Luke D and Karpova, Tatiana S and Hager, Gordon L} } @article {48559, title = {Quantitative mRNA imaging throughout the entire Drosophila brain.}, journal = {Nature Methods}, volume = {14}, year = {2017}, month = {2017 Jun 05}, pages = {703-6}, abstract = {

We describe a fluorescence in situ hybridization method that permits detection of the localization and abundance of single mRNAs (smFISH) in cleared whole-mount adult Drosophila brains. The approach is rapid and multiplexable and does not require molecular amplification; it allows facile quantification of mRNA expression with subcellular resolution on a standard confocal microscope. We further demonstrate single-mRNA detection across the entire brain using a custom Bessel beam structured illumination microscope (BB-SIM).

}, issn = {1548-7105}, doi = {10.1038/nmeth.4309}, author = {Long, Xi and Colonell, Jennifer and Wong, Allan M and Singer, Robert H and Lionnet, Timoth{\'e}e} } @article {47062, title = {Quantitative neuroanatomy for connectomics in Drosophila.}, journal = {eLife}, year = {2016}, month = {2016 Mar 18}, pages = {e12059}, abstract = {

Neuronal circuit mapping using electron microscopy demands laborious proofreading or reconciliation of multiple independent reconstructions. Here, we describe new methods to apply quantitative arbor and network context to iteratively proofread and reconstruct circuits and create anatomically enriched wiring diagrams. We measured the morphological underpinnings of connectivity in new and existing reconstructions of\ Drosophila\ sensorimotor (larva) and visual (adult) systems. Synaptic inputs were preferentially located on numerous small, microtubule-free {\textquoteright}twigs{\textquoteright} which branch off a single microtubule-containing {\textquoteright}backbone{\textquoteright}. Omission of individual twigs accounted for 96\% of errors. However, the synapses of highly connected neurons were distributed across multiple twigs. Thus, the robustness of a strong connection to detailed twig anatomy was associated with robustness to reconstruction error. By comparing iterative reconstruction to the consensus of multiple reconstructions, we show that our method overcomes the need for redundant effort through the discovery and application of relationships between cellular neuroanatomy and synaptic connectivity.

}, doi = {10.7554/eLife.12059}, author = {Schneider-Mizell, Casey M. and Gerhard, Stephan and Longair, Mark and Kazimiers, Tom and Li, Feng and Zwart, Maarten and Champion, Andrew and Midgley, Frank and Fetter, Richard D and Saalfeld, Stephan and Cardona, Albert} } @article {47287, title = {Quantitatively predictable control of Drosophila transcriptional enhancers in vivo with engineered transcription factors.}, journal = {Nature Genetics}, year = {2016}, month = {2016 Feb 8}, abstract = {

Genes are regulated by transcription factors that bind to regions of genomic DNA called enhancers. Considerable effort is focused on identifying transcription factor binding sites, with the goal of predicting gene expression from DNA sequence. Despite this effort, general, predictive models of enhancer function are currently lacking. Here we combine quantitative models of enhancer function with manipulations using engineered transcription factors to examine the extent to which enhancer function can be controlled in a quantitatively predictable manner. Our models, which incorporate few free parameters, can accurately predict the contributions of ectopic transcription factor inputs. These models allow the predictable {\textquoteright}tuning{\textquoteright} of enhancers, providing a framework for the quantitative control of enhancers with engineered transcription factors.

}, issn = {1546-1718}, doi = {10.1038/ng.3509}, author = {Crocker, Justin and Ilsley, Garth R and Stern, David L} } @article {69344, title = {Quantitative Reevaluation of the Effects of Short- and Long-Term Removal of Descending Modulatory Inputs on the Pyloric Rhythm of the Crab, Cancer borealis }, journal = {eneuro}, volume = {2}, year = {2015}, month = {2015 Jan 14}, pages = {ENEURO.0058-14.2015}, abstract = {

The crustacean stomatogastric ganglion (STG) receives descending neuromodulatory inputs from three anterior ganglia: the paired commissural ganglia (CoGs), and the single esophageal ganglion (OG). In this paper, we provide the first detailed and quantitative analyses of the short- and long-term effects of removal of these descending inputs (decentralization) on the pyloric rhythm of the STG. Thirty minutes after decentralization, the mean frequency of the pyloric rhythm dropped from 1.20 Hz in control to 0.52 Hz. Whereas the relative phase of pyloric neuron activity was approximately constant across frequency in the controls, after decentralization this changed markedly. Nine control preparations kept for 5{\textendash}6 d\ in vitro\ maintained pyloric rhythm frequencies close to their initial values. Nineteen decentralized preparations kept for 5{\textendash}6 d dropped slightly in frequency from those seen at 30 min following decentralization, but then displayed stable activity over 6 d. Bouts of higher frequency activity were intermittently seen in both control and decentralized preparations, but the bouts began earlier and were more frequent in the decentralized preparations. Although the bouts may indicate that the removal of the modulatory inputs triggered changes in neuronal excitability, these changes did not produce obvious long-lasting changes in the frequency of the decentralized preparations.

}, doi = {10.1523/ENEURO.0058-14.2015}, url = {https://www.eneuro.org/lookup/doi/10.1523/ENEURO.0058-14.2015https://syndication.highwire.org/content/doi/10.1523/ENEURO.0058-14.2015}, author = {Hamood, Albert W. and Haddad, Sara A. and Otopalik, Adriane G. and Rosenbaum, Philipp and Marder, Eve} } @article {46062, title = {Quantifying histone and RNA polymerase II post-translational modification dynamics in mother and daughter cells.}, journal = {Methods}, volume = {70}, year = {2014}, month = {2014 Dec}, pages = {77-88}, abstract = {

Post-translational histone modifications are highly correlated with transcriptional activity, but the relative timing of these marks and their dynamic interplay during gene regulation remains controversial. To shed light on this problem and clarify the connections between histone modifications and transcription, we demonstrate how FabLEM (Fab-based Live Endogenous Modification labeling) can be used to simultaneously track histone H3 Lysine 9 acetylation (H3K9ac) together with RNA polymerase II Serine 2 and Serine 5 phosphorylation (RNAP2 Ser2ph/Ser5ph) in single living cells and their progeny. We provide a detailed description of the FabLEM methodology, including helpful tips for preparing and loading fluorescently conjugated antigen binding fragments (Fab) into cells for optimal results. We also introduce simple procedures for analyzing and visualizing FabLEM data, including color-coded scatterplots to track correlations between modifications through the cell cycle and temporal cross-correlation analysis to dissect modification dynamics. Using these methods, we find significant correlations that span cell generations, with a relatively strong correlation between H3K9ac and Ser5ph that appears to peak a few hours before mitosis and may reflect the bookmarking of genes for efficient re-initiation following mitosis. The techniques we have developed are broadly applicable and should help clarify how histone modifications dynamically contribute to gene regulation.

}, issn = {1095-9130}, doi = {10.1016/j.ymeth.2014.08.002}, author = {Stasevich, Timothy J and Sato, Yuko and Nozaki, Naohito and Kimura, Hiroshi} } @article {68483, title = {Quantitative biology: where modern biology meets physical sciences.}, journal = {Mol Biol Cell}, volume = {25}, year = {2014}, month = {11/2014}, pages = {3482-5}, abstract = {

Quantitative methods and approaches have been playing an increasingly important role in cell biology in recent years. They involve making accurate measurements to test a predefined hypothesis in order to compare experimental data with predictions generated by theoretical models, an approach that has benefited physicists for decades. Building quantitative models in experimental biology not only has led to discoveries of counterintuitive phenomena but has also opened up novel research directions. To make the biological sciences more quantitative, we believe a two-pronged approach needs to be taken. First, graduate training needs to be revamped to ensure biology students are adequately trained in physical and mathematical sciences and vice versa. Second, students of both the biological and the physical sciences need to be provided adequate opportunities for hands-on engagement with the methods and approaches necessary to be able to work at the intersection of the biological and physical sciences. We present the annual Physiology Course organized at the Marine Biological Laboratory (Woods Hole, MA) as a case study for a hands-on training program that gives young scientists the opportunity not only to acquire the tools of quantitative biology but also to develop the necessary thought processes that will enable them to bridge the gap between these disciplines.

}, keywords = {Cell Biology, Computer Simulation, Education, Graduate, Humans, Models, Biological, Natural Science Disciplines, Students}, issn = {1939-4586}, doi = {10.1091/mbc.E14-08-1286}, author = {Shekhar, Shashank and Zhu, Lian and Mazutis, Linas and Sgro, Allyson E and Fai, Thomas G and Podolski, Marija} } @article {47622, title = {Quantitative cell biology: transforming the conceptual, theoretical, instrumental, and methodological approaches to cell biology.}, journal = {Molecular biology of the cell}, volume = {25}, year = {2014}, month = {2014 Nov 5}, pages = {3437}, keywords = {Animals, Cell Biology, Computer Simulation, Humans, Models, Biological, Molecular Imaging}, issn = {1939-4586}, doi = {10.1091/mbc.E14-08-1297}, author = {Lippincott-Schwartz, Jennifer} } @article {45812, title = {Quantum dot-based multiphoton fluorescent pipettes for targeted neuronal electrophysiology.}, journal = {Nature Methods}, volume = {11}, year = {2014}, month = {2014 Dec}, pages = {1237-41}, abstract = {

Targeting visually identified neurons for electrophysiological recording is a fundamental neuroscience technique; however, its potential is hampered by poor visualization of pipette tips in deep brain tissue. We describe quantum dot-coated glass pipettes that provide strong two-photon contrast at deeper penetration depths than those achievable with current methods. We demonstrated the pipettes{\textquoteright} utility in targeted patch-clamp recording experiments and single-cell electroporation of identified rat and mouse neurons in vitro and in vivo.

}, issn = {1548-7105}, doi = {10.1038/nmeth.3146}, author = {Andrasfalvy, Bertalan K and Gali{\~n}anes, Gregorio L and Huber, Daniel and Barbic, Mladen and Macklin, John J and Susumu, Kimihiro and Delehanty, James B and Huston, Alan L and Makara, Judit K and Medintz, Igor L} } @article {47643, title = {Quantifying spatial organization in point-localization superresolution images using pair correlation analysis.}, journal = {Nature protocols}, volume = {8}, year = {2013}, month = {2013 Feb}, pages = {345-54}, abstract = {

The distinctive distributions of proteins within subcellular compartments both at steady state and during signaling events have essential roles in cell function. Here we describe a method for delineating the complex arrangement of proteins within subcellular structures visualized using point-localization superresolution (PL-SR) imaging. The approach, called pair correlation photoactivated localization microscopy (PC-PALM), uses a pair-correlation algorithm to precisely identify single molecules in PL-SR imaging data sets, and it is used to decipher quantitative features of protein organization within subcellular compartments, including the existence of protein clusters and the size, density and number of proteins in these clusters. We provide a step-by-step protocol for PC-PALM, illustrating its analysis capability for four plasma membrane proteins tagged with photoactivatable GFP (PAGFP). The experimental steps for PC-PALM can be carried out in 3 d and the analysis can be done in \~{}6-8 h. Researchers need to have substantial experience in single-molecule imaging and statistical analysis to conduct the experiments and carry out this analysis.

}, keywords = {Algorithms, Green Fluorescent Proteins, Image Processing, Computer-Assisted, Intracellular Space, Membrane Proteins, Microscopy}, issn = {1750-2799}, doi = {10.1038/nprot.2013.005}, author = {Sengupta, Prabuddha and Jovanovic-Talisman, Tijana and Lippincott-Schwartz, Jennifer} } @article {6875, title = {Quantitative characterization of electron detectors for transmission electron microscopy.}, journal = {Journal of Structural Biology}, volume = {184}, year = {2013}, month = {2013 Dec}, pages = {385-93}, abstract = {

A new generation of direct electron detectors for transmission electron microscopy (TEM) promises significant improvement over previous detectors in terms of their modulation transfer function (MTF) and detective quantum efficiency (DQE). However, the performance of these new detectors needs to be carefully monitored in order to optimize imaging conditions and check for degradation over time. We have developed an easy-to-use software tool, FindDQE, to measure MTF and DQE of electron detectors using images of a microscope{\textquoteright}s built-in beam stop. Using this software, we have determined the DQE curves of four direct electron detectors currently available: the Gatan K2 Summit, the FEI Falcon I and II, and the Direct Electron DE-12, under a variety of total dose and dose rate conditions. We have additionally measured the curves for the Gatan US4000 and TVIPS TemCam-F416 scintillator-based cameras. We compare the results from our new method with published curves.

}, issn = {1095-8657}, doi = {10.1016/j.jsb.2013.10.016}, author = {Ruskin, Rachel S and Yu, Zhiheng and Grigorieff, Nikolaus} } @article {47651, title = {Quantitative analysis of photoactivated localization microscopy (PALM) datasets using pair-correlation analysis.}, journal = {BioEssays : news and reviews in molecular, cellular and developmental biology}, volume = {34}, year = {2012}, month = {2012 May}, pages = {396-405}, abstract = {

Pointillistic based super-resolution techniques, such as photoactivated localization microscopy (PALM), involve multiple cycles of sequential activation, imaging, and precise localization of single fluorescent molecules. A super-resolution image, having nanoscopic structural information, is then constructed by compiling all the image sequences. Because the final image resolution is determined by the localization precision of detected single molecules and their density, accurate image reconstruction requires imaging of biological structures labeled with fluorescent molecules at high density. In such image datasets, stochastic variations in photon emission and intervening dark states lead to uncertainties in identification of single molecules. This, in turn, prevents the proper utilization of the wealth of information on molecular distribution and quantity. A recent strategy for overcoming this problem is pair-correlation analysis applied to PALM. Using rigorous statistical algorithms to estimate the number of detected proteins, this approach allows the spatial organization of molecules to be quantitatively described.

}, keywords = {Algorithms, Animals, Cell Membrane, Cercopithecus aethiops, COS Cells, Green Fluorescent Proteins, Humans, Image Processing, Computer-Assisted, Microscopy, Fluorescence, Photons, Proteins}, issn = {1521-1878}, doi = {10.1002/bies.201200022}, author = {Sengupta, Prabuddha and Lippincott-Schwartz, Jennifer} } @article {4898, title = {Quantitative high-speed imaging of entire developing embryos with simultaneous multiview light-sheet microscopy.}, journal = {Nature Methods}, volume = {9}, year = {2012}, month = {2012 Jun 3}, pages = {755-63}, abstract = {

Live imaging of large biological specimens is fundamentally limited by the short optical penetration depth of light microscopes. To maximize physical coverage, we developed the SiMView technology framework for high-speed in vivo imaging, which records multiple views of the specimen simultaneously. SiMView consists of a light-sheet microscope with four synchronized optical arms, real-time electronics for long-term sCMOS-based image acquisition at 175 million voxels per second, and computational modules for high-throughput image registration, segmentation, tracking and real-time management of the terabytes of multiview data recorded per specimen. We developed one-photon and multiphoton SiMView implementations and recorded cellular dynamics in entire Drosophila melanogaster embryos with 30-s temporal resolution throughout development. We furthermore performed high-resolution long-term imaging of the developing nervous system and followed neuroblast cell lineages in vivo. SiMView data sets provide quantitative morphological information even for fast global processes and enable accurate automated cell tracking in the entire early embryo.

High-resolution movies in the Digital Embryo repository
Nature News: "Fruitfly development, cell by cell" by Lauren Gravitz
Nature Methods Technology Feature: "Faster frames, clearer pictures" by Monya Baker
Andor Insight Awards: Life Sciences Winner

}, issn = {1548-7105}, doi = {10.1038/nmeth.2062}, author = {Tomer, Raju and Khairy, Khaled and Amat, Fernando and Keller, Philipp J} } @article {6297, title = {Quantitative semi-automated analysis of morphogenesis with single-cell resolution in complex embryos.}, journal = {Development}, volume = {139}, year = {2012}, month = {2012 Nov}, pages = {4271-9}, abstract = {

A quantitative understanding of tissue morphogenesis requires description of the movements of individual cells in space and over time. In transparent embryos, such as C. elegans, fluorescently labeled nuclei can be imaged in three-dimensional time-lapse (4D) movies and automatically tracked through early cleavage divisions up to \ 350 nuclei. A similar analysis of later stages of C. elegans development has been challenging owing to the increased error rates of automated tracking of large numbers of densely packed nuclei. We present Nucleitracker4D, a freely available software solution for tracking nuclei in complex embryos that integrates automated tracking of nuclei in local searches with manual curation. Using these methods, we have been able to track \>99\% of all nuclei generated in the C. elegans embryo. Our analysis reveals that ventral enclosure of the epidermis is accompanied by complex coordinated migration of the neuronal substrate. We can efficiently track large numbers of migrating nuclei in 4D movies of zebrafish cardiac morphogenesis, suggesting that this approach is generally useful in situations in which the number, packing or dynamics of nuclei present challenges for automated tracking.

}, keywords = {Animals, Caenorhabditis elegans, Cell Differentiation, Cell Division, Cell Movement, Cell Nucleus, Computer-Assisted, Computers, Embryo, Epidermis, Image Processing, Morphogenesis, Nonmammalian, Single-Cell Analysis, Software, Statistics as Topic, Zebrafish}, issn = {1477-9129}, doi = {10.1242/dev.086256}, author = {Giurumescu, Claudiu A and Kang, Sukryool and Planchon, Thomas A and Betzig, Eric and Bloomekatz, Joshua and Yelon, Deborah and Cosman, Pamela and Chisholm, Andrew D} } @article {46739, title = {Qualification of a new and precise automatic tool for the assessment of hair diameters in phototrichograms.}, journal = {Skin Research \& Technology}, volume = {17}, year = {2011}, month = {2011 May}, pages = {186-95}, abstract = {

BACKGROUND/PURPOSE: To automatically assess hair growth during cosmetic trials, incorporating parameters such as anagen-to-telogen rate, growth rate, and especially hair diameter.

METHODS: We designed and qualified a new and automatic phototrichogram system based on a high-resolution DSLR camera system (theoretical resolution of 2.557 μm/pixel) and modular macrolens system with fixed focus, combined with a trainable pattern recognition software for automated analysis.

RESULTS: We improved the standard routine for dermatological phototrichogram technique to overcome inaccuracy in thickness measurements due to hair swelling by using an alternative immersion fluid, and increased the effective resolution for hair size and thickness measurement to \<4 μm. After having qualified manual measurements as gold standard for the determination of hair diameters, we established a new trainable automatic picture analysis software able to locate and measure individual hairs in length and thickness even in picture series taken from the same skin area at different time points. Comparisons between manual and automatic measurements of the same hairs showed a \>90\% correlation, and by comparing the automatic results with manual measurements of the same images without individual hair annotation, we could find a correlation of at least 80\%.

CONCLUSION: According to the results and findings generated in this qualification study, we have a reliable tool now that enables us to test cosmetic products for hair treatment in a highly automated way with a sufficient degree of precision and accuracy to detect even small changes in hair diameter during cosmetic trials.

}, keywords = {Alopecia, Dermatology, Equipment Design, Female, Hair, Hair Preparations, Humans, Image Processing, Computer-Assisted, Male, Photography, Software}, issn = {1600-0846}, doi = {10.1111/j.1600-0846.2010.00482.x}, author = {Scheede, Stefan and Herpens, Andreas and Burmeister, Frank and Oltrogge, Bernhard and Saenger, K and Schmidt-Rose, Thomas and Schreiner, Volker and Wenck, Horst and Knieps, Torsten and Berlage, Thomas} } @article {5373, title = {Quantum coherence in ion channels: resonances, transport and verification.}, journal = {New Journal of Physics}, volume = {12}, year = {2010}, month = {2010}, abstract = {

Recently it was demonstrated that long-lived quantum coherence exists during excitation energy transport in photosynthesis. It is a valid question up to which length, time and mass scales quantum coherence may extend, how one may detect this coherence and what, if any, role it plays in the dynamics of the system. Here we suggest that the selectivity filter of ion channels may exhibit quantum coherence, which might be relevant for the process of ion selectivity and conduction. We show that quantum resonances could provide an alternative approach to ultrafast two-dimensional (2D) spectroscopy to probe these quantum coherences. We demonstrate that the emergence of resonances in the conduction of ion channels that are modulated periodically by time-dependent external electric fields can serve as signatures of quantum coherence in such a system. Assessments of experimental feasibility and specific paths towards the experimental realization of such experiments are presented.

}, doi = {10.1088/1367-2630/12/8/085001}, author = {Vaziri, Alipasha and Plenio, Martin B.} } @article {6782, title = {Questions about STDP as a general model of synaptic plasticity.}, journal = {Frontiers in Synaptic Neuroscience}, volume = {2}, year = {2010}, month = {2010}, pages = {140}, abstract = {

According to spike-timing-dependent plasticity (STDP), the timing of the Na(+) spike relative to the EPSP determines whether LTP or LTD will occur. Here, we review our reservations about STDP. Most investigations of this process have been done under conditions in which the spike is evoked by postsynaptic current injection. Under more realistic conditions, in which the spike is evoked by the EPSP, the results do not generally support STDP. For instance, low-frequency stimulation of a group of synapses can cause LTD, not the LTP predicted by the pre-before-post sequence in STDP; this is true regardless of whether or not the EPSP is large enough to produce a Na(+) spike. With stronger or more frequent stimulation, LTP can be induced by the same pre-before-post timing, but in this case block of Na(+) spikes does not necessarily prevent LTP induction. Thus, Na(+) spikes may facilitate LTP and/or LTD under some conditions, but they are not necessary, a finding consistent with their small size relative to the EPSP in many parts of pyramidal cell dendrites. The nature of the dendritic depolarizing events that control bidirectional plasticity is of central importance to understanding neural function. There are several candidates, including backpropagating action potentials, but also dendritic Ca(2+) spikes, the AMPA receptor-mediated EPSP, and NMDA receptor-mediated EPSPs or spikes. These often appear to be more important than the Na(+) spike in providing the depolarization necessary for plasticity. We thus feel that it is premature to accept STDP-like processes as the major determinant of LTP/LTD.

}, issn = {1663-3563}, doi = {10.3389/fnsyn.2010.00140}, author = {Lisman, John and Spruston, Nelson} } @article {1685, title = {Quantitative in vivo imaging of entire embryos with digital scanned laser light sheet fluorescence microscopy.}, journal = {Current Opinion in Neurobiology}, volume = {18}, year = {2008}, month = {2008 Dec}, pages = {624-32}, abstract = {

The observation of biological processes in their natural in vivo context is a key requirement for quantitative experimental studies in the life sciences. In many instances, it will be crucial to achieve high temporal and spatial resolution over long periods of time without compromising the physiological development of the specimen. Here, we discuss the principles underlying light sheet-based fluorescence microscopes. The most recent implementation DSLM is a tool optimized to deliver quantitative data for entire embryos at high spatio-temporal resolution. We compare DSLM to the two established light microscopy techniques: confocal and two-photon fluorescence microscopy. DSLM provides up to 50 times higher imaging speeds and a 10-100 times higher signal-to-noise ratio, while exposing the specimens to at least three orders of magnitude less light energy than confocal and two-photon fluorescence microscopes. We conclude with a perspective for future development.

}, keywords = {Animals, Computer-Assisted, Confocal, Fetus, Fluorescence, Humans, Image Processing, Lasers, Microscopy, Multiphoton, Photobleaching}, issn = {1873-6882}, doi = {10.1016/j.conb.2009.03.008}, author = {Keller, Philipp J and Stelzer, Ernst H K} } @article {2909, title = {Quantum conditions on dynamics and control in open systems.}, journal = {The Journal of Chemical Physics}, volume = {129}, year = {2008}, month = {2008 Jul 28}, pages = {041105}, abstract = {

Quantum conditions on the control of dynamics of a system coupled to an environment are obtained. Specifically, consider a system initially in a system subspace H(0) of dimensionality M(0), which evolves to populate system subspaces H(1), H(2) of dimensionalities M(1), M(2). Then, there always exists an initial state in H(0) that does not evolve into H(2) if M(0)\>dM(2), where 2

}, issn = {1089-7690}, doi = {10.1063/1.2958220}, author = {Wu, Lian-Ao and Bharioke, Arjun and Brumer, Paul} } @article {4224, title = {Query-dependent banding (QDB) for faster RNA similarity searches.}, journal = {PLoS Computational Biology}, volume = {3}, year = {2007}, month = {2007 Mar 30}, pages = {e56}, abstract = {

When searching sequence databases for RNAs, it is desirable to score both primary sequence and RNA secondary structure similarity. Covariance models (CMs) are probabilistic models well-suited for RNA similarity search applications. However, the computational complexity of CM dynamic programming alignment algorithms has limited their practical application. Here we describe an acceleration method called query-dependent banding (QDB), which uses the probabilistic query CM to precalculate regions of the dynamic programming lattice that have negligible probability, independently of the target database. We have implemented QDB in the freely available Infernal software package. QDB reduces the average case time complexity of CM alignment from LN(2.4) to LN(1.3) for a query RNA of N residues and a target database of L residues, resulting in a 4-fold speedup for typical RNA queries. Combined with other improvements to Infernal, including informative mixture Dirichlet priors on model parameters, benchmarks also show increased sensitivity and specificity resulting from improved parameterization.

}, keywords = {Base Sequence, Database Management Systems, Databases, Genetic, Information Storage and Retrieval, Molecular Sequence Data, Nucleic Acid, RNA, Sequence Alignment, Sequence Analysis, Sequence Homology}, issn = {1553-7358}, doi = {10.1371/journal.pcbi.0030056}, author = {Nawrocki, Eric P and Eddy, Sean R.} }