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The Crystalline Silicon Solar Cell (C Si) report provides a detailed analysis of emerging investment pockets, highlighting current and future market trends. It offers strategic insights into capital flows and market shifts, guiding investors toward growth opportunities in key industry segments and regions.
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The introduction of chemical inhibitors into living cells at specific times in development is a useful method for investigating the roles of specific proteins or cytoskeletal components in developmental processes. Some embryos, such as those of Caenorhabditis elegans, however, possess a tough eggshell that makes introducing drugs and other molecules into embryonic cells challenging. We have developed a procedure using carbon-reinforced nanopipettes (CRNPs) to deliver molecules into C. elegans embryos with high temporal control. The use of CRNPs allows for cellular manipulation to occur just subsequent to meiosis II with minimal damage to the embryo. We have used our technique to replicate classical experiments using latrunculin A to inhibit microfilaments and assess its effects on early polarity establishment. Our injections of latrunculin A confirm the necessity of microfilaments in establishing anterior-posterior polarity at this early stage, even when microtubules remain intact. Further, we find that latrunculin A treatment does not prevent association of PAR-2 or PAR-6 with the cell cortex. Our experiments demonstrate the application of carbon-reinforced nanopipettes to the study of one temporally-confined developmental event. The use of CRNPs to introduce molecules into the embryo should be applicable to investigations at later developmental stages as well as other cells with tough outer coverings.
Stem and progenitor cell mitosis is essential for tissue development and homeostasis. How these cells ensure proper chromosome segregation, and thereby maintain mitotic fidelity, in the complex physiological environment of a living animal is poorly understood. Here we use in situ live-cell imaging of C. elegans germline stem and progenitor cells (GSPCs) to ask how the signaling environment influences stem and progenitor cell mitosis in vivo. Through a candidate screen we identify a new role for the insulin/IGF receptor (IGFR), daf-2, during GSPC mitosis. Mitosis is delayed in daf-2/IGFR mutants, and these delays require canonical, DAF-2/IGFR to DAF-16/FoxO insulin signaling, here acting cell non-autonomously from the soma. Interestingly, mitotic delays in daf-2/IGFR mutants depend on the spindle assembly checkpoint but are not accompanied by a loss of mitotic fidelity. Correspondingly, we show that caloric restriction, which delays GSPC mitosis and compromises mitotic fidelity, does not..., This dataset contains all numeric data reported in the paper "Non-autonomous insulin signaling delays mitotic progression in C. elegans germline stem and progenitor cells". Details on data collection and processing can be found in the methods section of our paper. Measurement data include the duration of mitosis in germline stem cells in a range of genetic backgrounds and/or experimental conditions, the number of nuclei and mitotic cells per germline proliferative zone and germ line and germline stem cell fluorescent intensity measurements., , # Numeric data for manuscript: Non-autonomous insulin signaling delays mitotic progression in C. elegans germline stem and progenitor cells
https://doi.org/10.5061/dryad.sn02v6xfp
These data were collected in support of the paper  "Non-autonomous insulin signaling delays mitotic progression in *C. elegans *germline stem and progenitor cells which is available on bioRxiv (https://doi.org/10.1101/2024.06.28.601188) and in press at PLoS Genetics.
Description:Â
Data are organized by figure, with one folder per figure (e.g. Figure_1_RawData). Each folder contains one or more CSV files, with the file name indicating to which figure panel the numeric data belong.
CSV files were generated by exporting data tables from Matlab. The first row gives the column name. Missing val...
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[Keywords] Market include MTN South Africa, Cell C, Telkom South Africa, Vodacom South Africa
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The South African telecommunications market, valued at approximately ZAR 100 billion (USD 5.5 billion) in 2025, is experiencing robust growth, driven by increasing smartphone penetration, rising data consumption fueled by OTT services and streaming, and the expanding adoption of mobile money solutions. This growth, projected at a 5.32% CAGR from 2025 to 2033, positions South Africa as a key player in the African telecommunications landscape. Competition is fierce amongst major players like Vodacom, MTN, Telkom, and Cell C, leading to continuous innovation in pricing strategies, network infrastructure development (particularly 5G rollout), and value-added services. The market is segmented into voice services (wired and wireless), data services, and OTT/Pay TV services, with data services showing the most significant growth potential due to the increasing demand for high-speed internet and mobile broadband. Regulatory changes and investments in infrastructure are crucial factors shaping the market's trajectory. Challenges remain, including the digital divide affecting rural areas, infrastructure limitations in certain regions, and the need for ongoing investment in network capacity to support growing data demands. Despite these challenges, the market demonstrates substantial resilience and future potential. The expansion of 4G and 5G networks, alongside the rise of fintech and mobile banking, are key drivers for ongoing growth. The increasing adoption of cloud-based services and the growing demand for IoT applications will further stimulate market expansion. Strategic partnerships and mergers and acquisitions are anticipated within the sector to enhance market share and expand service offerings. Furthermore, the focus on affordable data plans and innovative service packages designed for the diverse South African market will be critical for sustaining long-term growth and addressing the needs of both urban and rural consumers. Recent developments include: In October 2022, Vodacom South Africa unveiled the extension of the SD-WAN solution in the country. After successfully deploying its SD-WAN solution to several companies in South Africa, Vodacom Business Africa is now making the service available to customers in all 47 operational nations across its African territory., In October 2022, Telkom SA initiated its 5G high-speed Internet network using technologies from Huawei Technologies, a Chinese company. The operator declared that rather than concentrating on mobile 5G, it would first deploy the network to deliver fixed wireless Internet through 5G.. Key drivers for this market are: Demand of Mobile Phones, Active 5G Roll Out. Potential restraints include: Demand of Mobile Phones, Active 5G Roll Out. Notable trends are: Roll Out of 5G.
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Excel work book containing 11 spread sheets labeled figure 1, figure 2, figure 3, figure 4, figure 5, figure 6, figure 7, figure 8, figure 9, figure 10 and figure 11. Spread sheet 'figure 1' contains the absorbance values obtained on a plate reader from a platelet adhesion assay to collagen films crosslinked with increasing % of NHS/EDC. Spread sheet 'figure 2' contains 3 data sets. A) absorbance values obtained on a plate reader from a HT1080 cell adhesion assay to collagen films crosslinked with increasing % of NHS/EDC. B) cell counts for a HT1080 cell spreading assay to collagen films crosslinked with increasing % of NHS/EDC. C) representative phase contrast micrographs of HT1080 cells spreading onto collagen films crosslinked with increasing % of NHS/EDC. Spread sheet 'figure 3' contains 2 data sets. A) absorbance values obtained on a plate reader from a HT1080 cell adhesion assay conducted in PBS in the absence of cations or with added 2mM MgCl2 or CaCl2 B) absorbance values obtained on a plate reader from a HT1080 cell adhesion assay conducted in PBS with added MgCl2 or CaCl2 Spread sheet 'figure 4' contains 3 data sets. A) absorbance values obtained on a plate reader from a Rugli cell adhesion assay to collagen films crosslinked with increasing % of NHS/EDC. B) cell counts for a Rugli cell spreading assay to collagen films crosslinked with increasing % of NHS/EDC. C) representative phase contrast micrographs of Rugli cells spreading onto collagen films crosslinked with increasing % of NHS/EDC Spread sheet 'figure 5' contains 4 data sets. A) absorbance values obtained on a plate reader from a purified alpha 1 I domain adhesion assay to collagen films crosslinked with increasing % of NHS/EDC. B) calculations of the Mg dependent adhesion of purified alpha 1 I domain binding to collagen films crosslinked with increasing % of NHS/EDC. C) absorbance values obtained on a plate reader from a purified alpha 2 I domain adhesion assay to collagen films crosslinked with increasing % of NHS/EDC. D) calculations of the Mg dependent adhesion of purified alpha 2 I domain binding to collagen films crosslinked with increasing % of NHS/EDC. Spread sheet 'figure 6' contains 4 data sets of the absorbance values obtained on a plate reader from A) non-transfected C2C12 cell, B) alpha 2 transfected C2C12 cell, C) alpha 10 transfected C2C12 cell and D) alpha 11 transfected C2C12 cell adhesion assays to collagen films crosslinked with increasing % of NHS/EDC. Spread sheet 'figure 7' contains 3 data sets of the cell counts obtained by manually scoring phase contrast micrographs of A) non-transfected C2C12 cell, B) alpha 2 transfected C2C12 cell and C) alpha 10 transfected C2C12 cell spreading on to collagen films crosslinked with increasing % of NHS/EDC. Spread sheet 'figure 8' contains 4 data sets of the correlations between the number of free amine groups and the Mg dependent A) HT1080 cell, B) alpha 2 transfected C2C12 cell, C) alpha 10 transfected C2C12 cell and D) alpha 11 transfected C2C12 cell adhesion to collagen films. Spread sheet 'figure 9' contains 2 data sets. A) representative fluorescent and bright field images of AnnexinV-FITC stained HT1080 cells on collagen films crosslinked with increasing % of NHS/EDC. B) counts of AnnexinV-FITC positive and total cell numbers of HT1080 cells on collagen films crosslinked with increasing % of NHS/EDC. Spread sheet 'figure 10' contains 2 data sets. A) Cell number manually counted from phase contrast images of HT1080 cells cultured on collagen films crosslinked with increasing % of NHS/EDC for 1,2,3 or 5 days. Representative micrographs are shown. B) measurement of the surface area coved by cells using Image J. The measurement is converted into microns square. The HT1080 cells were cultured on collagen films crosslinked with increasing % of NHS/EDC for 5 days prior to measurement. Spread sheet 'figure 11' contains a confocal micrograph of rhodmaine-phalloidin stained HT1080 cells on a collagen film with restricted 200% NHS/EDC crosslinking. The image was generated by compressing a Z stack into a single image.
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Subscribers: Cellular: C Circle: Assam: Rjio data was reported at 5,436,194.000 Unit in Dec 2018. This stayed constant from the previous number of 5,436,194.000 Unit for Nov 2018. Subscribers: Cellular: C Circle: Assam: Rjio data is updated monthly, averaging 2,804,544.000 Unit from Jan 2017 (Median) to Dec 2018, with 24 observations. The data reached an all-time high of 5,436,194.000 Unit in Dec 2018 and a record low of 1,199,602.000 Unit in Mar 2017. Subscribers: Cellular: C Circle: Assam: Rjio data remains active status in CEIC and is reported by Cellular Operators Association of India. The data is categorized under Global Database’s India – Table IN.TE005: Telecommunication Service: Number of Subscribers: Cellular Operations Association of India.
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C-type lectin domain family 4 member G Enables carbohydrate derivative binding activity; exogenous protein binding activity; and monosaccharide binding activity. Involved in positive regulation of viral life cycle and symbiont entry into host cell. Located in plasma membrane. This gene encodes a glycan-binding receptor and member of the C-type lectin family which plays a role in the immune response. C-type lectin receptors are pattern recognition receptors located on immune cells that play a role in the recognition and uptake of both self and non-self glycoproteins as well as mediating cell adhesion, glycoprotein clearance, and cell signaling functions. This gene's protein binds complex-type N-glycans of the viral envelope proteins of Ebola virus, West Nile filovirus, and SARS coronavirus, but not HIV or hepatitis C virus. In mouse, this protein has been shown to recognize activated T-cells and to negatively regulate T-cell receptor-mediated signalling. It also acts as a novel, liver-specific regulator of NK cell-mediated immunity in mouse. Multiple transcript variants encoding different isoforms have been found for this gene. [provided by RefSeq, Apr 2020]
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Background: The cardiac interstitial cellular fraction is composed of multiple cell types. Some of these cells are known to express some well-known stem cell markers such as c-Kit and Sca1, but they are no longer accepted to be true cardiac stem cells. Although their existence in the cardiac interstitium has not been disputed, their dynamic throughout development, specific embryonic origin, and potential heterogeneity remain unknown. In this study, we hypothesized that both c-KitPOS and Sca1POS cardiac interstitial cell (CIC) subpopulations are related to the Wilms’ tumor 1 (Wt1) epicardial lineage.Methods: In this study, we have used genetic cell lineage tracing methods, immunohistochemistry, and FACS techniques to characterize cardiac c-KitPOS and Sca1POS cells.Results: Our data show that approximately 50% of cardiac c-KitPOS cells are derived from the Wt1-lineage at E15.5. This subpopulation decreased along with embryonic development, disappearing from P7 onwards. We found that a large proportion of cardiac c-KitPOS cells express specific markers strongly suggesting they are blood-borne cells. On the contrary, the percentage of Sca1POS cells within the Wt1-lineage increases postnatally. In accordance with these findings, 90% of adult epicardial-derived endothelial cells and 60% of mEFSK4POS cardiac fibroblasts expressed Sca1.Conclusion: Our study revealed a minor contribution of the Wt1-epicardial lineage to c-KitPOS CIC from embryonic stages to adulthood. Remarkably, a major part of the adult epicardial-derived cell fraction is enriched in Sca1, suggesting that this subpopulation of CICs is heterogeneous from their embryonic origin. The study of this heterogeneity can be instrumental to the development of diagnostic and prognostic tests for the evaluation of cardiac homeostasis and cardiac interstitium response to pathologic stimuli.
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Subscribers: Cellular: C Circle: Bihar data was reported at 82,046,778.000 Unit in Dec 2018. This records a decrease from the previous number of 82,419,635.000 Unit for Nov 2018. Subscribers: Cellular: C Circle: Bihar data is updated monthly, averaging 37,353,701.500 Unit from Jan 2005 (Median) to Dec 2018, with 168 observations. The data reached an all-time high of 84,289,408.000 Unit in Apr 2018 and a record low of 65,365.000 Unit in Jan 2005. Subscribers: Cellular: C Circle: Bihar data remains active status in CEIC and is reported by Cellular Operators Association of India. The data is categorized under Global Database’s India – Table IN.TE005: Telecommunication Service: Number of Subscribers: Cellular Operations Association of India. Total figure may not tally with the total breakdown as the source has excluded Reliance Telecom since January 2011.
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Subscribers: Cellular: C Circle: Bihar: Vodafone data was reported at 9,528,151.000 Unit in Dec 2018. This records a decrease from the previous number of 9,535,191.000 Unit for Nov 2018. Subscribers: Cellular: C Circle: Bihar: Vodafone data is updated monthly, averaging 6,940,979.000 Unit from Oct 2008 (Median) to Dec 2018, with 123 observations. The data reached an all-time high of 10,655,746.000 Unit in Jul 2018 and a record low of 26,167.000 Unit in Oct 2008. Subscribers: Cellular: C Circle: Bihar: Vodafone data remains active status in CEIC and is reported by Cellular Operators Association of India. The data is categorized under Global Database’s India – Table IN.TE005: Telecommunication Service: Number of Subscribers: Cellular Operations Association of India.
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Annotated datasets (monocle3 objects) of scRNA-seq data for C. elegans, C. briggsae and C. tropicalis L2 nematodes. The datasets are published together with the manuscript "Divergence in neuronal signaling pathways despite conserved neuronal identity among Caenorhabditis species".
https://doi.org/10.1016/j.cub.2025.05.036
Files deposited include cell datasets for all sequenced cells ("all_cds") and datasets for all cells annotated as neurons ("neu_cds").
C. elegans strain - N2.
C. briggsae strain - AF16.
C. tropicalis strain - NIC203.
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Stay updated with Market Research Intellect's C-rate Fast Charge Battery Cells Market Report, valued at USD 8.5 billion in 2024, projected to reach USD 25 billion by 2033 with a CAGR of 13.5% (2026-2033).
Cirri arise from the ventral side and the adoral zone of membranelles circle the anterior end of the cell and curve ventrally along one side of the oral cavity. The AZM is composed of triplet rows of cilia in the anterior end of the cell. C...
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This repository contains the training, validation, and testing data for the DiCARN-DNase project. The GitHub repository is available via https://github.com/OluwadareLab/DiCARN_DNase
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Subscribers: Cellular: C Circle: Assam: Vodafone data was reported at 4,325,511.000 Unit in Dec 2018. This records an increase from the previous number of 4,223,816.000 Unit for Nov 2018. Subscribers: Cellular: C Circle: Assam: Vodafone data is updated monthly, averaging 2,598,156.500 Unit from Sep 2008 (Median) to Dec 2018, with 124 observations. The data reached an all-time high of 4,521,478.000 Unit in Jul 2018 and a record low of 7,140.000 Unit in Sep 2008. Subscribers: Cellular: C Circle: Assam: Vodafone data remains active status in CEIC and is reported by Cellular Operators Association of India. The data is categorized under Global Database’s India – Table IN.TE005: Telecommunication Service: Number of Subscribers: Cellular Operations Association of India.
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Each image stack presented as zip file. Once decompressed, each folder contain '.ano' linker file, straightening C. elegans L1 images file, the segmentation mask image file and the cell annotation file. The image files are stored in Peng Hanchuan RAW/TIFF format, and the cell annotation file is stored in simple comma separated values format. To visualize the image stack data, drag the '.ano' linker file to VANO interface.
vano_win32_1.741.zip contains VANO for worm visualization.
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Subscribers: Cellular: C Circle: Himachal Pradesh: Bharti Airtel data was reported at 3,615,761.000 Unit in Dec 2018. This records a decrease from the previous number of 3,625,481.000 Unit for Nov 2018. Subscribers: Cellular: C Circle: Himachal Pradesh: Bharti Airtel data is updated monthly, averaging 789,812.000 Unit from Mar 1997 (Median) to Dec 2018, with 262 observations. The data reached an all-time high of 3,677,331.000 Unit in Aug 2018 and a record low of 366.000 Unit in Mar 1997. Subscribers: Cellular: C Circle: Himachal Pradesh: Bharti Airtel data remains active status in CEIC and is reported by Cellular Operators Association of India. The data is categorized under Global Database’s India – Table IN.TE005: Telecommunication Service: Number of Subscribers: Cellular Operations Association of India.
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https://ega-archive.org/dacs/EGAC00001002704https://ega-archive.org/dacs/EGAC00001002704
Libraries of liCHi-C for different input cell numbers (50k, 100k, 250k, 500k and 1M cells) with 2 biological replicates each. Fastq file format
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The Crystalline Silicon Solar Cell (C Si) report provides a detailed analysis of emerging investment pockets, highlighting current and future market trends. It offers strategic insights into capital flows and market shifts, guiding investors toward growth opportunities in key industry segments and regions.