Relevant bibliographies by topics / CLC-MS

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Academic literature on the topic 'CLC-MS'

Author: Grafiati
Published: 4 June 2021
Last updated: 3 February 2022

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Journal articles on the topic "CLC-MS"

1

Bechtold, Jill, H. K. C. Yee, Richard Elston, and E. Ellingson. "Hα Imaging of the Candidate Protogalaxy MS 1512−[CLC]cB58[/CLC]." Astrophysical Journal 477, no. 1 (March 1, 1997): L29—L32. http://dx.doi.org/10.1086/310520.

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2

Teplitz, Harry I., Ian S. McLean, E. E. Becklin, Donald F. Figer, Andrea M. Gilbert, James R. Graham, James E. Larkin, N. A. Levenson, and Mavourneen K. Wilcox. "The Rest-Frame Optical Spectrum of MS 1512−[CLC]c[/CLC]B58." Astrophysical Journal 533, no. 1 (April 10, 2000): L65—L68. http://dx.doi.org/10.1086/312595.

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Ramjeesingh, Mohabir, Canhui Li, Yi-Min She, and Christine E. Bear. "Evaluation of the membrane-spanning domain of ClC-2." Biochemical Journal 396, no. 3 (May 29, 2006): 449–60. http://dx.doi.org/10.1042/bj20060043.

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The ClC family of chloride channels and transporters includes several members in which mutations have been associated with human disease. An understanding of the structure–function relationships of these proteins is essential for defining the molecular mechanisms underlying pathogenesis. To date, the X-ray crystal structures of prokaryotic ClC transporter proteins have been used to model the membrane domains of eukaryotic ClC channel-forming proteins. Clearly, the fidelity of these models must be evaluated empirically. In the present study, biochemical tools were used to define the membrane domain boundaries of the eukaryotic protein, ClC-2, a chloride channel mutated in cases of idiopathic epilepsy. The membrane domain boundaries of purified ClC-2 and accessible cysteine residues were determined after its functional reconstitution into proteoliposomes, labelling using a thiol reagent and proteolytic digestion. Subsequently, the lipid-embedded and soluble fragments generated by trypsin-mediated proteolysis were studied by MS and coverage of approx. 71% of the full-length protein was determined. Analysis of these results revealed that the membrane-delimited boundaries of the N- and C-termini of ClC-2 and the position of several extramembrane loops determined by these methods are largely similar to those predicted on the basis of the prokaryotic protein [ecClC (Escherichia coli ClC)] structures. These studies provide direct biochemical evidence supporting the relevance of the prokaryotic ClC protein structures towards understanding the structure of mammalian ClC channel-forming proteins.
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Wang, Q. Daniel, and E. V. Gotthelf. "[ITAL]ROSAT[/ITAL] HRI Detection of the 16 [CLC]ms[/CLC] Pulsar PSR J0537−6910 Inside Supernova Remnant N157B." Astrophysical Journal 509, no. 2 (December 20, 1998): L109—L112. http://dx.doi.org/10.1086/311781.

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Lima, Adriel M., Fernando M. Lanças, and Álvaro J. Santos-Neto. "Análise de albendazol e metabólitos por RAM-cLC-MS/MS usando pré-concentração online direta de fluidos biológicos." Scientia Chromatographica 8, no. 1 (2016): 49–61. http://dx.doi.org/10.4322/sc.2016.016.

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6

Accardi, Alessio, and Michael Pusch. "Fast and Slow Gating Relaxations in the Muscle Chloride Channel Clc-1." Journal of General Physiology 116, no. 3 (August 28, 2000): 433–44. http://dx.doi.org/10.1085/jgp.116.3.433.

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Gating of the muscle chloride channel CLC-1 involves at least two processes evidenced by double-exponential current relaxations when stepping the voltage to negative values. However, there is little information about the gating of CLC-1 at positive voltages. Here, we analyzed macroscopic gating of CLC-1 over a large voltage range (from −160 to +200 mV). Activation was fast at positive voltages but could be easily followed using envelope protocols that employed a tail pulse to −140 mV after stepping the voltage to a certain test potential for increasing durations. Activation was biexponential, demonstrating the presence of two gating processes. Both time constants became exponentially faster at positive voltages. A similar voltage dependence was also seen for the fast gate time constant of CLC-0. The voltage dependence of the time constant of the fast process of CLC-1, τf, was steeper than that of the slow one, τs (apparent activation valences were zf ∼ −0.79 and zs ∼ −0.42) such that at +200 mV the two processes became kinetically distinct by almost two orders of magnitude (τf ∼ 16 μs, τs ∼ 1 ms). This voltage dependence is inconsistent with a previously published gating model for CLC-1 (Fahlke, C., A. Rosenbohm, N. Mitrovic, A.L. George, and R. Rüdel. 1996. Biophys. J. 71:695–706). The kinetic difference at 200 mV allowed us to separate the steady state open probabilities of the two processes assuming that they reflect two parallel (not necessarily independent) gates that have to be open simultaneously to allow ion conduction. Both open probabilities could be described by Boltzmann functions with gating valences around one and with nonzero “offsets” at negative voltages, indicating that the two “gates” never close completely. For comparison with single channel data and to correlate the two gating processes with the two gates of CLC-0, we characterized their voltage, pHint, and [Cl]ext dependence, and the dominant myotonia inducing mutation, I290M. Assuming a double-barreled structure of CLC-1, our results are consistent with the identification of the fast and slow gating processes with the single-pore and the common-pore gate, respectively.
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7

Belsky, Joseph, David J. Biddinger, and Neelendra K. Joshi. "Whole-Body Acute Contact Toxicity of Formulated Insecticide Mixtures to Blue Orchard Bees (Osmia lignaria)." Toxics 9, no. 3 (March 17, 2021): 61. http://dx.doi.org/10.3390/toxics9030061.

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Blue orchard bees, [Osmia lignaria (Say) (Hymenoptera: Megachilidae)], have been developed as an important pollinator for orchard crops in North America over the last 40 years. The toxicity of several pesticides to O. lignaria and other Osmia species has been previously reported. However, the field-realistic toxicity of formulated premix insecticides comprised of multiple active ingredients (each with a different mode of action) to O. lignaria has not been assessed. Here, we use a customized spray tower in a laboratory setting to assess adult male and female whole-body direct contact exposure to four formulated pesticide mixtures: thiamethoxam + lambda-cyhalothrin (TLC), imidacloprid + beta-cyfluthrin (IBC), chlorantraniliprole + lambda-cyhalothrin (CLC) and methoxyfenozide + spinetoram (MS) by directly spraying anesthetized bees in Petri dishes. Separately, adult male and female whole-body direct contact exposure to formulated imidacloprid (I), beta-cyfluthrin (BC) and their 1:1 binary combination (IBC) was assessed using the same experimental method. Resulting mortality in each study was screened up to 96 h post-treatment to determine acute whole-body contact toxicity. In the first study, TLC and IBC resulted in statistically higher mortality at 24 and 48 h than the two other insecticide combinations tested. The CLC and MS combinations were slower acting and the highest mortality for O. lignaria exposed to these mixtures was recorded at 96 h. We did observe significant differences in toxicity between CLC and MS. In the second study, exposure to the 1:1 binary combination of IBC caused overall significantly higher mortality than exposure to I or BC alone. Both active ingredients alone, however, demonstrated equivalent levels of mortality to the 1:1 binary combination treatment at the 96 h observation reading, indicating increased speed of kill, but not necessarily increased toxicity. Significant differences in the onset of mortality following acute contact whole-body exposure to the formulated insecticide mixtures and individual active ingredients tested were consistently observed across all experiments in both studies.
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Parys, Wioletta, Małgorzata Dołowy, and Alina Pyka-Pająk. "Current Strategies for Studying the Natural and Synthetic Bioactive Compounds in Food by Chromatographic Separation Techniques." Processes 9, no. 7 (June 24, 2021): 1100. http://dx.doi.org/10.3390/pr9071100.

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The present study summarizes the new strategies including advanced equipment and validation parameters of liquid and gas chromatography methods i.e., thin-layer chromatography (TLC), column liquid chromatography (CLC), and gas chromatography (GC) suitable for the identification and quantitative determination of different natural and synthetic bioactive compounds present in food and food products, which play an important role in human health, within the period of 2019–2021 (January). Full characteristic of some of these procedures with their validation parameters is discussed in this work. The present review confirms the vital role of HPLC methodology in combination with different detection modes i.e., HPLC-UV, HPLC-DAD, HPLC-MS, and HPLC-MS/MS for the determination of natural and synthetic bioactive molecules for different purposes i.e., to characterize the chemical composition of food as well as in the multi-residue analysis of pesticides, NSAIDs, antibiotics, steroids, and others in food and food products.
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9

van Dokkum, Pieter G., Marijn Franx, Daniel Fabricant, Daniel D. Kelson, and Garth D. Illingworth. "A High Merger Fraction in the Rich Cluster MS 1054−03 at [CLC][ITAL]z[/ITAL][/CLC] = 0.83: Direct Evidence for Hierarchical Formation of Massive Galaxies." Astrophysical Journal 520, no. 2 (August 1, 1999): L95—L98. http://dx.doi.org/10.1086/312154.

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10

Wang, Hongwei, Yating Yao, Ya Li, Shujuan Ma, Xiaojun Peng, Junjie Ou, and Mingliang Ye. "Preparation of open tubular capillary columns by in situ ring-opening polymerization and their applications in cLC-MS/MS analysis of tryptic digest." Analytica Chimica Acta 979 (August 2017): 58–65. http://dx.doi.org/10.1016/j.aca.2017.05.004.

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Dissertations / Theses on the topic "CLC-MS"

1

Alzaabi, Adhari Abdullah. "Identification and Characterization of Serum Biomarkers Associated with Breast Cancer Progression." BYU ScholarsArchive, 2016. https://scholarsarchive.byu.edu/etd/6452.

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Despite the recognized advances in the treatment of breast cancer, it still accounts for 15% of all cancer-related deaths. 90% of breast cancer deaths are due to unpredicted metastasis. There is neither successful treatment for metastatic patients nor a specific test to predict or detect secondary lesions. Patients with primary tumor will be either over-treated with cytotoxic side effects or under-treated and risk recurrence. This necessitates the need for personalized treatment, which is hard to offer for such heterogeneous disease. Obstacles in treating breast cancer metastasis are mainly due to the gaps exist in the understanding of the molecular mechanism of metastasis. The linear model of metastasis is supported by several observations that reflect an early crosstalk between the primary and secondary tumor, which in turn makes the secondary microenvironment fertile for the growth of disseminated cells. This communication occurs through circulation and utilizes molecules which have not been identified to date. Identifying such molecules may help in detecting initial stages of tumor colonization and predict the target organ of metastasis. Furthermore, these molecules may help to provide a personalized therapy that aims to tailor treatment according to the biology of the individual tumor. Advances in proteomics allows for more reproducible and sensitive biomarker discovery. Proteomic biomarkers are often more translatable to the clinic compared to biomarkers identified using other omics approaches. Further, protein biomarkers can be found in biological fluids making them a non-invasive way to treat or investigate cancer patients. We present in this manuscript our study of the use of a proteomic approach on blood serum samples of metastatic and non-metastatic patients using LC-MS/MS quantitative analysis machine to identify molecules that could be associated with different stages of breast cancer metastasis. We focused on the deferential expression of low molecular weight biomolecules known to reflect disease-specific signatures. We manually analyzed 2500 individual small biomolecules in each serum sample of total of 51 samples. Comparisons between different sample types (from stage I and III Breast Cancer patients in this case) allows for the detection of unique short peptide biomarkers present in one sample type. We built a multi-biomarker model with more sensitivity and specificity to identify the stage of the tumor and applied them on blinded set of samples to validate prediction power. We hope that our study will provide insights for future work on the collection, analysis, and understanding of role of molecules in metastatic breast cancer.
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