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  • 1
    Online Resource
    Online Resource
    San Diego :Elsevier Science & Technology,
    Keywords: Proteins-Spectra. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (609 pages)
    Edition: 1st ed.
    ISBN: 9780128186114
    DDC: 572/.636
    Language: English
    Note: Front Cover -- Vibrational Spectroscopy in Protein Research -- Copyright Page -- Contents -- List of contributors -- Preface -- 1 ATR-FTIR spectroscopy and spectroscopic imaging of proteins -- 1.1 Introduction -- 1.1.1 Study of protein behavior-protein in solution, film, and tissue -- 1.1.2 Interaction of proteins with infrared-understanding amide bands -- 1.1.2.1 Interpreting secondary structures from amide bands -- 1.1.2.2 Qualitative and quantitative analysis -- 1.1.2.3 Challenges-interference of water spectral bands -- 1.1.2.4 Comparison between transmission and ATR spectroscopic analysis of proteins -- 1.1.3 The significance of study of protein crystallization and aggregation with new vibrational spectroscopic methods -- 1.2 ATR-FTIR spectroscopic imaging of proteins -- 1.2.1 Macro-ATR spectroscopic imaging -- 1.2.1.1 High-throughput measurements: protein crystallization growth, aggregation, study of protein adsorption by functiona... -- 1.2.1.2 Eliminating anomalous dispersion with varying angle-macro-ATR -- 1.2.1.3 High-throughput analysis of aggregation of a monoclonal antibody by macro-ATR-FTIR spectroscopic imaging -- 1.2.1.4 Protein purification: cleaning-in-place for immunoaffinity resin and in-column ATR-FTIR spectroscopy -- 1.2.2 Micro-FTIR spectroscopic imaging -- 1.2.2.1 Association with disease: time-resolved imaging of protein aggregation in living cells -- 1.3 Further applications -- 1.3.1 Monitoring low-concentration protein conformational change with QCL spectroscopy -- potential of micro-ATR-FTIR imaging... -- 1.4 Conclusions -- Acknowledgments -- References -- 2 Light-induced difference Fourier-transform infrared spectroscopy of photoreceptive proteins -- 2.1 Introduction -- 2.2 Methods: light-induced difference Fourier-transform infrared spectroscopy -- 2.2.1 Sample preparation -- 2.2.2 Experimental measurements. , 2.3 Microbial rhodopsins -- 2.3.1 Bacteriorhodopsin -- 2.3.2 Other microbial rhodopsins -- 2.4 Animal rhodopsins -- 2.4.1 Bovine rhodopsin -- 2.4.2 Primate color visual pigments -- 2.5 Flavoproteins -- 2.5.1 LOV domain -- 2.5.2 BLUF domain -- 2.5.3 Photolyase/cryptochrome -- 2.6 Concluding remarks -- Acknowledgment -- References -- 3 Quantum cascade laser-based infrared transmission spectroscopy of proteins in solution -- 3.1 Quantum cascade lasers and their advantages for mid-infrared transmission measurements -- 3.2 Steady-state broadband infrared transmission spectroscopy of the protein amide bands -- 3.2.1 External cavity-quantum cascade laser-based infrared transmission spectroscopy of proteins recorded in sweep mode -- 3.2.2 QCL-based infrared transmission spectroscopy of proteins recorded in step-and-measure mode with microfluidic modulation -- 3.3 Time-resolved laser-based infrared spectroscopy to monitor protein dynamics -- 3.4 Time-resolved infrared spectroscopy of protein dynamics by dual-comb spectroscopy -- 3.5 Conclusions and future developments -- References -- 4 Theoretical simulation of protein two-dimensional infrared spectroscopy -- 4.1 Introduction -- 4.2 Theoretical simulation -- 4.2.1 Hamiltonian construction -- 4.2.1.1 Vibrational frequency εm -- 4.2.1.2 Couplings between the local vibrational transitions Jmn -- 4.2.2 Calculation of third-order optical response functions -- 4.2.3 Cumulant expansion of Gaussian fluctuation of third-order response functions -- 4.2.4 The numerical integration of the Schrödinger equation -- 4.2.5 The stochastic Liouville equations -- 4.2.6 Applications of the statistical mechanic methods for longer dynamics or more comprehensive configuration ensembles -- 4.2.6.1 Simulating the peptide thermal unfolding 2DIR spectra using the integrated tempering sampling technique. , 4.2.6.2 Simulating the temperature jump peptide two-dimensional infrared using the Markov state models -- 4.3 Future perspective -- Acknowledgments -- References -- 5 Infrared spectroscopy and imaging for understanding neurodegenerative protein-misfolding diseases -- 5.1 Introduction to Fourier transform infrared spectroscopy and protein misfolding -- 5.1.1 In vitro studies -- 5.1.2 Isotopic labeling -- 5.1.3 Infrared microspectroscopy -- 5.1.4 Infrared nanospectroscopy -- 5.2 Applications of Fourier transform infrared spectroscopy to neurodegenerative diseases -- 5.2.1 Alzheimer's disease -- 5.2.1.1 Amyloid precursor protein -- 5.2.1.2 Tau and neurofibrillary tangles -- 5.2.2 Cerebral amyloid angiopathy -- 5.2.3 Parkinson's disease -- 5.2.4 Amyotrophic lateral sclerosis -- 5.2.5 Prion diseases -- 5.3 Clinical imaging and diagnosis -- References -- 6 Near-infrared spectroscopy and imaging in protein research -- 6.1 Introduction -- 6.2 Applications of near-infrared spectroscopy to protein science -- 6.2.1 How to apply near-infrared spectroscopy to protein science -- 6.2.2 Near-infrared spectral analysis -- 6.2.3 Near-infrared bands due to amide groups -- 6.2.4 Thermal denaturation -- 6.2.5 Protein hydration study of human serum albumin by near-infrared spectroscopy -- 6.2.6 Near-infrared studies of protein secondary structure -- 6.3 Near-infrared imaging -- 6.3.1 Advantages of near-infrared imaging -- 6.3.2 Instruments for near-infrared imaging -- 6.4 Application of near-infrared imaging to embryogenesis of fish eggs -- 6.4.1 Nonstaining visualization of embryogenesis in Japanese medaka (Oryzias latipes) fish egg by near-infrared imaging -- 6.4.2 Near-infrared images of the influence of bioactivity on water molecular structure -- 6.4.3 High-speed near-infrared imaging of the embryonic development in fertilized fish eggs. , 6.4.4 Near-infrared in vivo imaging of blood flow and molecular distribution in a developing fish egg using an imaging-type... -- 6.5 Future prospects -- References -- 7 Vibrational imaging of proteins: changes in the tissues and cells in the lifestyle disease studies -- 7.1 Introduction -- 7.2 Raman in vitro studies of the cell apoptosis -- 7.3 An effect of fixation on endothelial cells -- 7.4 Blood plasma proteins and their diagnostic perspectives -- 7.5 Protoporphyrin proteins in leukocytes -- 7.6 Resonance Raman spectroscopy in iron-containing proteins in tissues and cells -- 7.7 Characterization of lung proteins altered by cancer cell infiltration -- 7.8 Proteins of endothelium studied ex vivo -- 7.9 Fourier-transform infrared microscopy of proteins -- 7.10 Conclusions and perspectives -- Acknowledgments -- References -- 8 Interpretation of vibrational optical activity spectra of proteins -- 8.1 Introduction -- 8.2 Theory and calculations -- 8.3 Small molecules -- 8.3.1 Flexible molecules, Boltzmann averaging -- 8.3.2 Solvent models, clusters -- 8.4 Large molecules -- 8.5 Semiempirical approaches -- 8.5.1 Transition dipole coupling -- 8.5.2 Cartesian coordinate tensor transfer -- 8.5.3 Molecules in molecules -- 8.6 Conclusions -- Acknowledgment -- References -- 9 Nanoscale analysis of protein self-assemblies -- 9.1 Introduction -- 9.2 Analysis of microscopic steps of abnormal protein aggregation at the nanoscale-a comparison of various experimental app... -- 9.2.1 Thioflavin-T-based kinetic measurements -- 9.2.2 Scanning probe microscopy -- 9.2.3 Superresolving fluorescence microscopy -- 9.2.4 Cryoelectron microscopy -- 9.2.5 Nanoscale nuclear magnetic resonance -- 9.2.6 X-ray spectroscopy -- 9.2.6.1 Infrared nanospectroscopy -- 9.2.7 Nano-Fourier-transform infrared spectroscopy -- 9.2.8 Atomic force microscopy-infrared -- 9.2.8.1 TERS. , 9.2.9 Hyperspectral nanospectroscopic mapping -- 9.3 Conclusions -- References -- Further Reading -- 10 Vibrational spectroscopic analysis and quantification of proteins in human blood plasma and serum -- 10.1 Introduction -- 10.1.1 Analysis of biofluids -- 10.1.2 Blood sample: preparation of plasma versus serum -- 10.1.3 Composition of plasma and serum -- 10.1.3.1 Nonprotein constituents -- 10.1.3.2 Proteins -- Fibrinogen -- Albumin -- Globulins -- Immunoglobulins -- 10.1.4 Pathology of plasma proteins -- 10.1.4.1 Abundant proteins -- 10.1.4.2 Low-abundance proteins -- 10.1.4.3 Cytochrome c -- 10.1.5 Vibrational spectroscopic analysis of bodily fluids -- 10.1.6 Vibrational spectroscopy -- 10.1.7 Experimental approaches -- 10.1.7.1 Fourier-transform infrared spectroscopy -- 10.1.7.2 Instrumentation for Raman spectroscopy -- 10.2 Biospectroscopy -- 10.2.1 Vibrational spectroscopy of proteins -- 10.2.2 Spectroscopic signature of serum -- 10.2.3 Quantitative analysis -- 10.3 Clinical translation -- References -- 11 Vibrational spectroscopy in protein research toward virus identification: challenges, new research, and future perspectives -- 11.1 Introduction -- 11.2 General structure of viruses -- 11.3 A brief overview of vibrational biospectroscopy -- 11.3.1 Infrared spectroscopy -- 11.3.1.1 Mid-infrared -- 11.3.1.2 Near-infrared -- 11.3.2 Raman spectroscopy -- 11.4 Computational analysis -- 11.4.1 Preprocessing -- 11.4.2 Multivariate analysis techniques -- 11.4.3 Performance evaluation -- 11.5 Applications -- 11.6 Challenges -- 11.7 Future perspectives -- References -- 12 Two-dimensional correlation spectroscopy of proteins -- 12.1 Introduction -- 12.2 Background -- 12.2.1 Generalized two-dimensional correlation spectroscopy -- 12.2.2 Basic concept of two-dimensional correlation spectroscopy. , 12.2.3 Interpretation of two-dimensional correlation spectra.
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  • 2
    ISSN: 1574-6968
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Biology
    Notes: High quality Fourier transform infrared (FTIR) spectra were acquired from living Micrasterias hardyi cells maintained in an IR transparent flow-through cell using a FTIR microscope coupled to a synchrotron light source. Spectral maps of living, nutrient-replete cells showed band intensities consistent with the known location of the nucleus and the chloroplasts. These were very similar to maps acquired from fixed, air-dried cells. Bands due to lipids were lowest in absorbance in the region of the nucleus and highest in the chloroplast region and this trend was reversed for the absorbance of bands attributed to protein. Spectra acquired in 10 μm steps across living phosphorus-starved (P-starved) cells, repeated approximately every 30 min, were consistent over time, and bands correlated well with the known position of the nucleus and the observed chloroplasts, corroborating the observations with replete cells. Experiments in which missing nutrients were re-supplied to starved cells showed that cells could be maintained in a functional state in the flow-through cell for up to one day. Nitrogen-starved cells re-supplied with N showed an increase in lipid in all positions measured across the cell over a 23 h period of re-supply, with the largest increases occurring in positions where the chloroplasts were observed. Re-supply of phosphorus to P-starved cells produced no changes in bands attributable to lipid or protein. Due to their thin cell body (?12 μm) and large diameter (?300 μm) Micrasterias sp. make an ideal spectroscopic model to study nutrient kinetics in algal cells.
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    New York, NY [u.a.] : Wiley-Blackwell
    Biospectroscopy 2 (1996), S. 143-153 
    ISSN: 1075-4261
    Keywords: Chemistry ; Analytical Chemistry and Spectroscopy
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Biology , Physics
    Notes: Fourier-transform infrared (FTIR) microspectroscopy, combined with Principal Component Analysis (PCA), was applied in the study of exfoliated cervical cells from 272 patients. Six spectra were recorded for each patient, and these were visually sorted into two types (type 1 and type 2), based on their profiles. Spectra designated type 1 exhibited a profile characteristic of normal epithelial cells, with intense glycogen bands at 1022 cm-1 and 1150 cm-1, and a pronounced symmetric phosphate stretch at 1078 cm-1. Spectra designated type 2 exhibited features suggestive of dysplastic or malignant transformation, with pronounced symmetric and asymmetric phosphate modes and a reduction in glycogen-band intensity.Of the 272 patients, 68.6% of samples exhibited only type 1 profiles for all six recorded spectra, 29.4% of samples yielded at least one type 2 spectrum in any of the six recorded spectra and 2% of samples were inconclusive. Of the 68.6%, 86% were diagnosed normal by Pap smear with no follow up biopsy ordered, 7% were diagnosed abnormal by biopsy, 5% normal by biopsy and 2% were still inconclusive. For the remaining 29.4% of classified samples, 71% had shown an abnormal Pap result. These 71% were subsequently biopsied, and 87% were confirmed abnormal. The association of type 2 spectra and abnormality was further corroborated by spectra of cultured malignant cells from the HeLa cell line that displayed a profile similar to type 2 spectra in the 1300-950 cm-1 region. PCA decomposition using a reduced data matrix resulted in a score plot that showed general separation of the visually categorised spectra. This study demonstrates the potential of automated FTIR cervical screening technology in the clinical environment. © 1996 John Wiley & Sons, Inc.
    Additional Material: 9 Ill.
    Type of Medium: Electronic Resource
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  • 4
    ISSN: 1075-4261
    Keywords: FTIR microspectroscopy ; cervical cancer ; leukocytes ; lymphocytes ; erythrocytes ; semen ; mucins ; fibroblasts ; thrombocytes ; bacteria ; nylon ; Candida albicans ; Chemistry ; Analytical Chemistry and Spectroscopy
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Biology , Physics
    Notes: FTIR microscopy was applied to the analysis of cell types and other variables present in Pap smears to ascertain the limitations of infrared spectroscopy in the diagnosis of cervical cancer and dysplasia. It was found that leukocytes, and in particular lymphocytes, have spectral features in the phophodiester region (1300-900 cm-1) suggestive of what has previously been described as changes indicative of malignancy. Endocervical cells and fibroblasts have similar spectral features to HeLa cells and consequently could also confound diagnosis. The use of ethanol as a fixative and dehydrating agent results in retention of glycogen in cervical cell types and thus minimizes spectral changes in the glycogen region due to sampling technique. Spectra of seminal fluids exhibit strong bands in the phosphodiester/carbohydrate region; however, sperm contamination should be easily detectable by the presence of a distinctive doublet at 981/968 cm-1. Erythrocyte spectra exhibit a reduction in glycogen band intensity, but can be discerned by a relatively low-intensity νs $PO^{-}_{2}$ band. Endocervical mucin spectra exhibit a reduction in glycogen bands and a very pronounced νs $PO^{-}_{2}$ band, which is similar in intensity to the corresponding band in HeLa cells. Thrombocytes have strong bands in the phosphodiester region, but thrombocytes can be discerned from other cell types by the presence of two small broad bands at 980 and 935 cm-1. Candida albicans is characterized by strong bands in the polysaccharide region which could potentially obscure diagnostic bands if C. albicans is present in large numbers. Spectra of bacteria common to the female genital tract, in general, also have strong absorptions in the polysaccharide region; however, bacterial contamination is usually minimal and would not be expected to obscure cervical cell spectra. Nylon threads and bristles from cervical sampling implements produce characteristic IR profiles which allow for easy identification. Given the number of potential confounding variables associated with cervical cytology, a multivariate statistical or neural network analysis would appear to be necessary before the implementation of FTIR technology in clinical laboratories. © 1998 John Wiley & Sons, Inc. Biospectroscopy 4: 75-91, 1998
    Additional Material: 10 Ill.
    Type of Medium: Electronic Resource
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