17,691 research outputs found

    Analyzing possible pitfalls of cross-frequency analysis : poster presentation from Twentieth Annual Computational Neuroscience Meeting CNS*2011 Stockholm, Sweden, 23 - 28 July 2011

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    Poster presentation from Twentieth Annual Computational Neuroscience Meeting: CNS*2011 Stockholm, Sweden. 23-28 July 2011. One of the central questions in neuroscience is how neural activity is organized across different spatial and temporal scales. As larger populations oscillate and synchronize at lower frequencies and smaller ensembles are active at higher frequencies, a cross-frequency coupling would facilitate flexible coordination of neural activity simultaneously in time and space. Although various experiments have revealed amplitude-to-amplitude and phase-to-phase coupling, the most common and most celebrated result is that the phase of the lower frequency component modulates the amplitude of the higher frequency component. Over the recent 5 years the amount of experimental works finding such phase-amplitude coupling in LFP, ECoG, EEG and MEG has been tremendous (summarized in [1]). We suggest that although the mechanism of cross-frequency-coupling (CFC) is theoretically very tempting, the current analysis methods might overestimate any physiological CFC actually evident in the signals of LFP, ECoG, EEG and MEG. In particular, we point out three conceptual problems in assessing the components and their correlations of a time series. Although we focus on phase-amplitude coupling, most of our argument is relevant for any type of coupling. 1) The first conceptual problem is related to isolating physiological frequency components of the recorded signal. The key point is to notice that there are many different mathematical representations for a time series but the physical interpretation we make out of them is dependent on the choice of the components to be analyzed. In particular, when one isolates the components by Fourier-representation based filtering, it is the width of the filtering bands what defines what we consider as our components and how their power or group phase change in time. We will discuss clear cut examples where the interpretation of the existence of CFC depends on the width of the filtering process. 2) A second problem deals with the origin of spectral correlations as detected by current cross-frequency analysis. It is known that non-stationarities are associated with spectral correlations in the Fourier space. Therefore, there are two possibilities regarding the interpretation of any observed CFC. One scenario is that basic neuronal mechanisms indeed generate an interaction across different time scales (or frequencies) resulting in processes with non-stationary features. The other and problematic possibility is that unspecific non-stationarities can also be associated with spectral correlations which in turn will be detected by cross frequency measures even if physiologically there is no causal interaction between the frequencies. 3) We discuss on the role of non-linearities as generators of cross frequency interactions. As an example we performed a phase-amplitude coupling analysis of two nonlinearly related signals: atmospheric noise and the square of it (Figure 1) observing an enhancement of phase-amplitude coupling in the second signal while no pattern is observed in the first. Finally, we discuss some minimal conditions need to be tested to solve some of the ambiguities here noted. In summary, we simply want to point out that finding a significant cross frequency pattern does not always have to imply that there indeed is physiological cross frequency interaction in the brain

    RT-qPCR analysis and immunolabeling of stimulated spheroids.

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    hiPSC-cardiomyocyte spheroids were collected after 7 days of electrical stimulation. Transcript expression was analyzed using RT-qPCR. Control vs Electrical Stimulation: (A) cTnI, cTnT, MLC2v, and MLC2a; (B) CX43, N-Cad, SERCA2a, and RYR2. n = 6 for both groups, * p<0.05. In addition, spheroid cross sections from both control and electrical stimulation groups were immunolabeled for cardiomyocyte maturation markers as follows: (C) (i-x) phalloidin, cTnT, and MLC2v; (D) (i-viii) hcTnT and MLC2a; (E) (i-viii) hcTnT and CX43; (F) hcTnT and N-Cad. Scale bar: (C(i-iv, vi-ix), D(i-iii, v-vii), E(i-iii, v-vii), F(i-iii, v-vii)) 10 μm and (C(v, x), D(iv, viii), E(iv, viii), F(iv, viii)) 2.5 μm.These results indicate spheroids exposed to electrical stimulation developed improved transcript expression of gap-junctional and ventricular cardiomyocyte proteins. In addition, immunolabeling revealed an improved striated muscle formation, induced MLC2v expression, and increased cell-cell communication potential with the improvement of expression of CX43 and N-Cad.</p

    Radioactive reverse transcription PCR (RT-PCR) analysis of strain SSB318 complemented with wt or C238/C239

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    <p><b>Copyright information:</b></p><p>Taken from " and investigation of bacterial type B RNase P interaction with tRNA 3′-CCA"</p><p></p><p>Nucleic Acids Research 2007;35(6):2060-2073.</p><p>Published online 13 Mar 2007</p><p>PMCID:PMC1874595.</p><p>© 2007 The Author(s)</p> PCR products were analyzed on a 10% polyacrylamide/8 M urea gel. Lanes 1–30: total RNA from SSB318 complemented with wt (lanes 1–4 and 13-16), C238 (lanes 5–8, 17–20 and 25–30) or C239 (lanes 9–12 and 21–24) grown at 37°C in the absence of IPTG and in the presence of 2% xylose (w/v); amounts of total RNA were 200 ng in lanes 1–24, 26 and 29, 100 ng in lanes 25 and 28, and 400 ng in lanes 27 and 30. P : presence (+) or absence (−) of a xylose-inducible plasmid-encoded gene. Lanes 1–12 and 25–27: primers specific for ; lanes 13–24 and 28–30: primers specific for the mRNA encoding ribosomal protein S18 (S18). AMV: presence (+) or absence (−) of reverse transcriptase. For details on RT-PCR, see the Material and Methods section. Lanes 25–30 document that the amount of RT-PCR product was sensitive to RNA template concentration. The figure illustrates a representative experiment, but the results shown here were reproduced in five individual experiments using three independent total RNA preparations

    ナイジェリア南東部および中南部におけるラッサウイルス検出のためのRT-LAMPアッセイの開発

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    Lassa virus (LASV) causes Lassa fever (LF), a viral hemorrhagic fever endemic in West Africa. LASV strains are clustered into six lineages according to their geographic location. To confirm a diagnosis of LF, a laboratory test is required. Here, a reverse transcription loop-mediated isothermal amplification (RT-LAMP) assay using a portable device for the detection of LASV in southeast and south-central Nigeria using three primer sets specific for strains clustered in lineage II was developed. The assay detected in vitro transcribed LASV RNAs within 23 min and was further evaluated for detection in 73 plasma collected from suspected LF patients admitted into two health settings in southern Nigeria. The clinical evaluation using the conventional RT-PCR as the reference test revealed a sensitivity of 50% in general with 100% for samples with a viral titer of 9500 genome equivalent copies (geq)/mL and higher. The detection limit was estimated to be 4214 geq/mL. The assay showed 98% specificity with no cross-reactivity to other viruses which cause similar symptoms. These results suggest that this RT-LAMP assay is a useful molecular diagnostic test for LF during the acute phase, contributing to early patient management, while using a convenient device for field deployment and in resource-poor settings.長崎大学学位論文 学位記番号:博(医歯薬)甲第1265号 学位授与年月日:令和2年9月18日Author: Christelle M. Pemba, Yohei Kurosaki, Rokusuke Yoshikawa, Olamide K. Oloniniyi, Shuzo Urata, Maki Sueyoshi, Vahid R. Zadeh, Ifeanyi Nwafor, Michael O. Iroezindu, Nnenna A. Ajayi, Chinedu M. Chukwubike, Nneka M. Chika-Igwenyi, Anne C. Ndu, Damian U. Nwidi, Yuki Maehira, Uche S. Unigwe, Chiedozie K. Ojide, Emeka O. Onwe, Jiro YasudaCitation: Journal of Virological Methods, 269, pp.30-37; 201
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