In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.
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Question: Most protein complexes are inaccessible to high resolution structural analysis. We report the results of a combined approach of cross-linking, mass spectrometry, and bioinformatics to two human complexes containing large coiled-coil segments, the NDEL1 homodimer and the NDC80 heterotetramer. An important limitation of the cross-linking approach, so far, was the identification of cross-linked peptides from fragmentation spectra. Our novel approach overcomes the data analysis bottleneck of cross-linking and mass spectrometry. We constructed a purpose-built database to match spectra with cross-linked peptides, define a score that expresses the quality of our identification, and estimate false positive rates. We show that our analysis sheds light on critical structural parameters such as the directionality of the homodimeric coiled coil of NDEL1, the register of the heterodimeric coiled coils of the NDC80 complex, and the organization of a tetramerization region in the NDC80 complex. Our approach is especially useful to address complexes that are difficult in addressing by standard structural methods.

Answer: Structural analysis of multiprotein complexes by cross-linking, mass spectrometry, and database searching.

Question: In systematic reviews and meta-analysis, researchers often pool the results of the sample mean and standard deviation from a set of similar clinical trials. A number of the trials, however, reported the study using the median, the minimum and maximum values, and/or the first and third quartiles. Hence, in order to combine results, one may have to estimate the sample mean and standard deviation for such trials. In this paper, we propose to improve the existing literature in several directions. First, we show that the sample standard deviation estimation in Hozo et al. (2005) has some serious limitations and is always less satisfactory in practice. Inspired by this, we propose a new estimation method by incorporating the sample size. Second, we systematically study the sample mean and standard deviation estimation problem under more general settings where the first and third quartiles are also available for the trials. Through simulation studies, we demonstrate that the proposed methods greatly improve the existing methods and enrich the literature. We conclude our work with a summary table that serves as a comprehensive guidance for performing meta-analysis in different situations.

Answer: Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range

Question: Neural activity induces the remodeling of pre- and postsynaptic membranes, which maintain their apposition through cell adhesion molecules. Among them, N-cadherin is redistributed, undergoes activity-dependent conformational changes, and is required for synaptic plasticity. Here, we show that depolarization induces the enlargement of the width of spine head, and that cadherin activity is essential for this synaptic rearrangement. Dendritic spines visualized with green fluorescent protein in hippocampal neurons showed an expansion by the activation of AMPA receptor, so that the synaptic apposition zone may be expanded. N-cadherin-venus fusion protein laterally dispersed along the expanding spine head. Overexpression of dominant-negative forms of N-cadherin resulted in the abrogation of the spine expansion. Inhibition of actin polymerization with cytochalasin D abolished the spine expansion. Together, our data suggest that cadherin-based adhesion machinery coupled with the actin-cytoskeleton is critical for the remodeling of synaptic apposition zone.

Answer:
Cadherin activity is required for activity-induced spine remodeling