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63 results for “cytoskeleton”
Fig. 5 in Cortical Localization of α- and γ-Tubulin and the Assembly of Cortical Microtubule Cytoskeleton in Hypotrichous Ciliate Euplotes eurystomus
Fig. 5. (A–D) Projections of the optical sections passing through the ventral surface of E. eurystomus cells in mitotic phase decorated with FLUTAX. Scale: 20 μm. (A) The AZM primordium appeared at the bottom-left of old AZM in the early stage of morphogenesis. (AZMP: adoral zone of membranelles primordium; UMP: undulating membrane primordium; arrow shows the UMP originated from the right side of AZMP). (B) The pattern of FVTC primordia was 3-3-3-2-2 from left to right, shown in a box (FVTCP: frontal–ventral–transverse cirri primordium; arrows show the blastema of ALM and PLM originating from the base of FVTCPs). (C) The AZM and UM of proter inherited the olds (white arrow), and those of opisthe were generated from the AZMP (black arrows show the primordium of the left marginal cirri). (D) Some old ciliary organelles still existed until the separation of the proter and opisthe (white arrows show the neonatal ALM and PLM; black arrows show the residual ALM; some old cirri are shown in the circle).
Fig. 3 in Cortical Localization of α- and γ-Tubulin and the Assembly of Cortical Microtubule Cytoskeleton in Hypotrichous Ciliate Euplotes eurystomus
Fig. 3. (A–C) Projection of optical section passing through the ventral surface of E. eurystomus cells decorated with the FLUTAX. Scale: 20 μm. (A) All the ventral ciliary organelles, and especially their base-associated microtubules, were strongly and clearly stained by FLUTAX (ALM: anterior longitudinal microtubules; PLM: posterior longitudinal microtubules; TM: transverse microtubules; PM: peripheral microtubules). (B) The microtubules associated with the adoral ciliary organelles were also marked by FLUTAX (SMB: small membranelle bracket; hollow arrow shows the microtubule fasolculus extending from the base of SMB; white arrow shows the microtubules in the adoral rib; black arrow shows the UM ciliary base–associated microtubules). (C) The FLUTAX decorated the short microtubular bundles between the bases of TCs (arrow).
Fig. 4 in Cortical Localization of α- and γ-Tubulin and the Assembly of Cortical Microtubule Cytoskeleton in Hypotrichous Ciliate Euplotes eurystomus
Fig. 4. (A–D) Projections of the optical sections passing through the dorsal cortex of E. eurystomus cells decorated with FLUTAX. Scale: 20 μm. (A) The leptos microtubular nets covered the dorsal cortex (arrow). (B) The longitudinal microtubules in the dorsal cortex (arrow). (C) The oblique microtubules in the dorsal cortex (arrow). (D) The dargyrome was faintly stained by the FLUTAX.
Fig. 1 in Cortical Localization of α- and γ-Tubulin and the Assembly of Cortical Microtubule Cytoskeleton in Hypotrichous Ciliate Euplotes eurystomus
Fig. 1. The permutation pattern of ciliary organelles in the ventral and dorsal of E. eurystomus cells (A, B). (A) The ventral ciliary pattern of E.eurystomus, (B) the dorsal ciliary pattern of E.eurystomus. (AZM: adoral zone of membranelles, OC: oral cirri; UM: undulating membranes, FVC: frontal–ventral cirri, TC: transverse cirri, CC: caudal cirri, LMC: left marginal cirri DK: dorsal kineties).
Figure 3 in The function of ciliopathy protein FOP on cilia and cortical microtubule cytoskeleton in Euplotes amieti
Figure 3. Protein loss and motility changes after RNAi. (A) Relative expression of basal body-associated protein BBS8. **P <0.01 vs the blank group, n = 3. (B) Relative expression of cilia assembly-related protein IFT88. **P <0.01 vs the blank group, n = 3. (C) Relative expression of basal body protein γ-tubulin. (D) The swimming tracks of Euplotes amieti during RNAi. The swimming speeds (n = 20). The FOPRNAi is the interference group, The Blank is the blank group (E) The swimming speeds of Euplotes amieti during RNAi (n = 20).
Epithelial cell chirality emerges through the dynamic concentric pattern of actomyosin cytoskeleton
<p>Supporting Information for</p> <p>Epithelial cell chirality emerges through the dynamic concentric pattern of actomyosin cytoskeleton</p> <p>Takaki Yamamoto, Tomoki Ishibashi, Yuko Mimori-Kiyosue, Sylvain Hiver, Naoko Tokushige, Mitsusuke Tarama, Masatoshi Takeichi, Tatsuo Shibata</p> <p>Tatsuo Shibata<br>Email: tatsuo.shibata@riken.jp</p> <p>Numerical data used for Figs. 1B, and C: </p> <p>Fig1B.csv,<br>Fig1C.csv</p> <p>Numerical data used for Fig. 1 figure supplement 1:</p> <p>Fig1S1_Collagen.csv,<br>Fig1S1_Fibronectin.csv,<br>Fig1S1_Non-coated.csv,<br>Fig1S1_PLL.csv</p> <p>Numerical data used for Figs. 2B, C and D: </p> <p>Fig2B.csv,<br>Fig2C_Blebbistatin.csv,<br>Fig2C_CK666.csv,<br>Fig2C_DMSO.csv,<br>Fig2C_Nocodazole.csv,<br>Fig2C_SMIFH2.csv,<br>Fig2D_DMSO.csv,<br>Fig2D_SMIFH2.csv</p> <p>Numerical data used for Fig. 2 figure supplement 2 A, D:</p> <p>Fig2S2A.csv,<br>Fig2S2D_NC.csv,<br>Fig2S2D_DAAM1_siRNA.csv,<br>Fig2S2D_DIAPH2_siRNA.csv</p> <p>Numerical data used for Fig. 2 figure supplement 3:</p> <p>Fig2S3A_NC.csv,<br>Fig2S3A_Myo2A_siRNA.csv,<br>Fig2S3A_Myo2B_siRNA.csv,<br>Fig2S3A_Myo2A_B_siRNA.csv,<br>Fig2S3B.csv</p> <p>Numerical data used for Fig. 2 figure supplement 4:</p> <p>Fig2S4A_NC.csv,<br>Fig2S4A_VCL_siRNA.csv,<br>Fig2S4B.csv</p> <p>Note: Fig2S2D_NC.csv, Fig2S3A_NC.csv and Fig2S4A_NC.csv represent data from the same control experiment.</p> <p>Numerical data used for Figs. 6C and D:<br>Fig6C.xls,<br>Fig6D_1.xls,<br>Fig6D_2.xls</p> <p>Numerical data used for Figs. 6 figure supplement 1:<br>Fig6S1I.xls,<br>Fig6S1J.xls</p> <p>Note: these data were also used in Figure 7 figure supplement 2A-H.</p> <p>Numerical data used for Figs. 8D and E:<br>Fig8DE.csv: </p> <p>FreeFEM++ script to perform the numerical computation used in Fig. 7 and matlab script for Fig 7 BCDFGH, and Fig. 7 figure supplement 2I: </p> <p>caco2ActiveChiralModel.edp,<br>PlotSimulationResults.m</p>
Data for "Freeze-tolerant crickets fortify their actin cytoskeleton in fat body tissue"
<p>These data files and code are associated with the scientific article <br>"Freeze-tolerant crickets fortify their actin cytoskeleton in fat body tissue."<br>This material is under the same copyright protections as the article itself.</p> <p>Please see the README.txt file for more information.</p>
Red blood cell cytoskeleton tomography data
<p>1) WT-14_MinorClean.mat - Three-dimensional image of a red cell cytoskeleton obtained by cryoelectron tomography. Edges were removed by running the following commands in Matlab:</p> <p>load WT-7_MinorClean.mat;<br> [M, N, P] = size(v);<br> [NN, MM, PP] = meshgrid(1:N,1:M,1:P);<br> v( MM > 790) = 0;<br> v( PP < 12) = 0;<br> v( PP > 70) = 0;</p> <p>To binarize the image, we used a threshold of -40, i.e. each voxel containing an intensity value less than -40 was considered to be a part of the cytoskeleton.</p> <p>2) ActinFilamentMASKED_BIN.mat - Structure of actin protofilament from Protein Data Bank after masking and binning.</p> <p>3) coordsWT-14sk.mat - Positions of actin protofilaments identified inside the tomogram after template matching.</p>
Data for: Nanotopography modulates intracellular excitable systems through cytoskeleton actuation
<p>Cellular sensing of most environmental cues involves receptors that affect a signal-transduction excitable network (STEN), which is coupled to a cytoskeletal excitable network (CEN). In this work, we monitored the dynamics of intracellular cytoskeleton and signaling transduction molecules in Dictyostelium discoideum plated on various nano-topographies. We show that the mechanism of sensing of nanoridges is fundamentally different. CEN activity occurs preferentially on nanoridges, whereas STEN activity is constrained between nanoridges. In the absence of STEN, waves disappear, but long-lasting F-actin puncta persist along the ridges. When CEN is suppressed, wave propagation is no longer constrained by nanoridges. A computational model reproduces these experimental observations. Our findings indicate that nanotopography is sensed directly by CEN, whereas STEN is only indirectly affected due to a CEN-STEN feedback loop. These results explain why texture sensing is robust, and acts cooperatively with multiple other guidance cues in complex microenvironments.</p>
Data for: Nanotopography modulates intracellular excitable systems through cytoskeleton actuation
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Evolution of ubiquitin, cytoskeleton, and vesicular trafficking machinery in giant viruses
<p>This repository contains genomes, proteins, and alignments used in the study "Evolution of ubiquitin, cytoskeleton, and vesicular trafficking machinery in giant viruses".</p> <p> </p>
Data from: High content imaging of unbiased chemical perturbations reveals that the phenotypic plasticity of the actin cytoskeleton is constrained
Although F-actin has a large number of binding partners and regulators, the number of phenotypic states available to the actin cytoskeleton is unknown. Here, we quantified 74 features defining F-actin and cellular morphology in >25 million cells after treatment with a library of 114,400 structurally diverse compounds. After reducing the dimensionality of these data, we found that only ~25 recurrent F-actin phenotypes emerged, each defined by distinct quantitative features that could be machine learned. We identified 2003 unknown compounds as inducers of actin-related phenotypes, including two that directly bind talin, a core regulator of integrin activity. Moreover, we observed that compounds with distinct molecular mechanisms could induce equivalent phenotypes and that initially divergent cellular responses could converge over time. These findings suggest a conceptual parallel between the actin cytoskeleton and gene regulatory networks; where the theoretical plasticity of interactions is nearly infinite, yet phenotypes observed in vivo are constrained into a limited subset of practicable configurations.
Data from: Cytoskeleton structure and total methylation of mouse cardiac and lung tissue during space flight
The purpose of this work was to evaluate the protein and mRNA expression levels of multiple cytoskeletal proteins in the cardiac and lung tissue of mice that were euthanized onboard the United States Orbital Segment of the International Space Station 37 days after the start of the SpaceX-4 mission (September 2014, USA). The results showed no changes in the cytoskeletal protein content in the cardiac and lung tissue of the mice, but there were significant changes in the mRNA expression levels of the associated genes, which may be due to an increase in total genome methylation. The mRNA expression levels of DNA methylases, the cytosine demethylases Tet1 and Tet3, histone acetylase and histone deacetylase did not change, and the mRNA expression level of cytosine demethylase Tet2 was significantly decreased.
Cytoskeleton stack image
<p>cytoskeletal image</p>
Data from: High-content imaging of unbiased chemical perturbations reveals that the phenotypic plasticity of the actin cytoskeleton is constrained
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Data from: Cytoskeleton structure and total methylation of mouse cardiac and lung tissue during space flight
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Biological Research in Canisters-16 (BRIC-16): Investigations of the plant cytoskeleton in microgravity with gene profiling and cytochemistry
These investigations studied the fundamentals of how plants perceive gravity and develop in microgravity. It informs how gene regulation is altered by spaceflight conditions.
SRF transcriptionally regulates the oligodendrocyte cytoskeleton during CNS myelination (ChIP-Seq)
GEO Series GSE241559. Rattus norvegicus. 16 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
SRF transcriptionally regulates the oligodendrocyte cytoskeleton during CNS myelination
GEO Series GSE241561. Mus musculus; Rattus norvegicus. 33 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
MRTF/SRF link the cytoskeleton and hedgehog pathway in drug-resistant basal cell carcinomas
GEO Series GSE78497. Mus musculus. 25 samples. Type: Expression profiling by high throughput sequencing; Other.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.