cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34808/tkbt-6568
title: The time-dependent cellular uptake of C−2028, CD−C−2028, QDgreen−C−2028, and QDgreen−CD−FA−C−2028 conjugates at IC80 value to normal MRC-5 cells

description: The time-dependent (1, 24, 48, and 72 h) cellular uptake of C−2028, CD−C−2028, QDgreen−C−2028, and QDgreen−CD−FA−C−2028 conjugates at IC80 value to normal MRC-5 cells performed by Confocal Laser Scanning Microscopy (63× magnification; ZEISS LSM T-PMT, Magdeburg, Germany). Based on the fluorescence properties of these compounds, green and orange fluorescence are representative for QDgreen and C−2028, respectively. The imaging conditions were: QDgreen (excitation 300 nm, emission 543 nm), C−2028 (excitation 528 nm, emission 553 nm). The scale bar is 20 µM.
DOI: 10.34808/zsy0-az13
title: The mechanism of internalization study of QDgreen−CD−FA−C−2028 conjugate at IC80 value to cancer (H460, Du-145, and LNCaP) and normal (MRC-5 and PNT1A) cells

description: The influence of different endocytosis inhibitors on the internalization of QDgreen−CD−FA−C−2028 conjugate at IC80 value in cancer (H460, Du-145, and LNCaP) and normal (MRC-5 and PNT1A) cells. First, the cells were preincubated with: drug-free medium (no inhibitor), at 4 °C, 5 µM Cytochalasin D, 30 µM Amiloride, 80 µM Dynasore, 25 µM Pitstop 2 and 1.5 µM Filipin III for 30 min, followed by further incubation with QDgreen−CD−FA−C−2028 for 4 h. The internalization of QDgreen−CD−FA−C−2028 in cells was explored by Confocal Laser Scanning Microscopy (63× magnification; ZEISS LSM T-PMT). Based on the fluorescence properties of these compounds, green and orange fluorescence are representative for QDgreen and C−2028, respectively. The imaging conditions were: QDgreen (excitation 300 nm, emission 543 nm), C−2028 (excitation 528 nm, emission 553 nm). The scale bar is 20 μm.
DOI: 10.34808/y5yb-qx59
title: Gdańsk 2019 Jana z Kolna street - video data

description: Gdańsk 2019 Jana z Kolna street - video data
The data contain video traffic data (pedestrian) registered at two measurement points at Jana z Kolna street.
The aim of this study was to analyze the pedestrian traffic on the footbridge over Jana z Kolna Street at the level of the SKM Gdańsk Stocznia stop. Recording date: 5-7.02.2019 from 4:30 to 19:00.  

Location of measurement points:

  Summary of traffic at measurement point number 1:  Summary of traffic at measurement point number 2:  

Sample view of the video material:
DOI: 10.34808/3xfj-8j61
title: The time-dependent cellular uptake of C−2028, CD−C−2028, QDgreen−C−2028, and QDgreen−CD−FA−C−2028 conjugates at IC80 value to normal PNT1A cells

description: The time-dependent (1, 24, 48, and 72 h) cellular uptake of C−2028, CD−C−2028, QDgreen−C−2028, and QDgreen−CD−FA−C−2028 conjugates at IC80 value to normal PNT1A cells performed by Confocal Laser Scanning Microscopy (63× magnification; ZEISS LSM T-PMT, Magdeburg, Germany). Based on the fluorescence properties of these compounds, green and orange fluorescence are representative for QDgreen and C−2028, respectively. The imaging conditions were: QDgreen (excitation 300 nm, emission 543 nm), C−2028 (excitation 528 nm, emission 553 nm). The scale bar is 20 µM.
DOI: 10.34808/j4zk-4h41
title: The time-dependent cellular uptake of C−2028, CD−C−2028, QDgreen−C−2028, and QDgreen−CD−FA−C−2028 conjugates at IC80 value to cancer Du-145 cells

description: The time-dependent (1, 24, 48, and 72 h) cellular uptake of C−2028, CD−C−2028, QDgreen−C−2028, and QDgreen−CD−FA−C−2028 conjugates at IC80 value to cancer Du-145 cells performed by Confocal Laser Scanning Microscopy (63× magnification; ZEISS LSM T-PMT, Magdeburg, Germany). Based on the fluorescence properties of these compounds, green and orange fluorescence are representative for QDgreen and C−2028, respectively. The imaging conditions were: QDgreen (excitation 300 nm, emission 543 nm), C−2028 (excitation 528 nm, emission 553 nm). The scale bar is 20 µM.
DOI: 10.34808/s722-j991
title: The time-dependent cellular uptake of C−2028, CD−C−2028, QDgreen−C−2028, and QDgreen−CD−FA−C−2028 conjugates at IC80 value to cancer H460 cells

description: The time-dependent (1, 24, 48, and 72 h) cellular uptake of C−2028, CD−C−2028, QDgreen−C−2028, and QDgreen−CD−FA−C−2028 conjugates at IC80 value to cancer H460 cells performed by Confocal Laser Scanning Microscopy (63× magnification; ZEISS LSM T-PMT, Magdeburg, Germany). Based on the fluorescence properties of these compounds, green and orange fluorescence are representative for QDgreen and C−2028, respectively. The imaging conditions were: QDgreen (excitation 300 nm, emission 543 nm), C−2028 (excitation 528 nm, emission 553 nm). The scale bar is 20 µM.
DOI: 10.25810/5593-7918
title: FIRED DEMOCRATIC REPUBLIC OF THE CONGO
DOI: 10.6084/m9.figshare.17155862
title: Associated data sets for "Depression screening using a non-verbal self-association task: A machine-learning based pilot study"

description: This data set contains the session 1, session 2 and the combined data sets used in the paper "Depression screening using a non-verbal self-association task: A machine-learning based pilot study". Details about the experiment design and the variables can found in the associated paper.<br><br>The raw data is collected by Jie Sui. The data is processed and analysed by Yipeng Song.<br>
DOI: 10.6084/m9.figshare.17155862.v2
title: Associated data sets for "Depression screening using a non-verbal self-association task: A machine-learning based pilot study"

description: This data set contains the session 1, session 2 and the combined data sets used in the paper "Depression screening using a non-verbal self-association task: A machine-learning based pilot study". Details about the experiment design and the variables can found in the associated paper.<br><br>The raw data is collected by Jie Sui. The data is processed and analysed by Yipeng Song.<br>
DOI: 10.6084/m9.figshare.17155862.v1
title: Associated data sets for "Depression screening using a non-verbal self-association task: A machine-learning based pilot study"

description: This data set contains the session 1, session 2 and the combined data sets used in the paper "Depression screening using a non-verbal self-association task: A machine-learning based pilot study". Details about the experiment design and the variables can found in the associated paper.<br><br>The raw data is collected by Jie Sui. The data is processed and analysed by Yipeng Song.<br>
DOI: 10.6084/m9.figshare.3761562.v2068
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.14680839.v1
title: Auditory Neuropathy Supplementary Data

description: This file contains all dataset for patients with auditory neuropathy spectrum disorder.
DOI: 10.34808/5xj3-cz11
title: Bibliographic data on datasets affiliated to University of Technology and Humanities in Radom and indexed in Data Citation Inex (retrievd by Web of Science service in December 2021)

description: The file contains the number of datasets published by the researchers affiliated to University of Technology and Humanities in Radom and indexed in Data Citation Index provided by Web of Science. The Search was performed using the name of institution in the address field or group author field. Data retrieved and published during the 5th Open Science Conference (1-3.12.2021)
DOI: 10.6084/m9.figshare.14680839
title: Auditory Neuropathy Supplementary Data Raw data

description: This file contains all dataset for patients with auditory neuropathy spectrum disorder.
DOI: 10.6084/m9.figshare.14680839.v3
title: Auditory Neuropathy Supplementary Data Raw data

description: This file contains all dataset for patients with auditory neuropathy spectrum disorder.
DOI: 10.6084/m9.figshare.14680839.v2
title: Auditory Neuropathy Supplementary Data Raw data

description: This file contains all dataset for patients with auditory neuropathy spectrum disorder.
DOI: 10.6084/m9.figshare.17156009
title: model data

description: model of trophic interactions for coastal ecosystems
DOI: 10.6084/m9.figshare.17155997
title: HiSeq_LDLR_ICGi037-A

description: HiSeq_LDLR_ICGi037-A ipsc 3.2.8T and MNC3.2.8T
DOI: 10.6084/m9.figshare.17155997.v1
title: HiSeq_LDLR_ICGi037-A

description: HiSeq_LDLR_ICGi037-A ipsc 3.2.8T and MNC3.2.8T
DOI: 10.5063/f11n7zjq
title: Global Ocean Health Index 2021 assessment

description: Scores from the 2021 global Ocean Health Index (OHI) assessment and accompanying data and models. The global Ocean Health Index assesses ocean health for 220 coastal countries and territories and has been conducted yearly since 2012. The Index describes how well we are sustainably managing 10 goals which represent the full suite of benefits that people want and need from the ocean. These goals include: artisanal fishing opportunity, biodiversity, carbon storage, clean waters, coastal livelihoods and economies, coastal protection, food provision, natural products, sense of place, and tourism and recreation. Each goal is given a score ranging from 0 to 100, and the full suite of goal scores are then averaged to obtain an overall index score for each region. Please see https://oceanhealthindex.org/ for additional resources and information.
DOI: 10.5063/f1ww7g2t
title: Global Ocean Health Index 2021 assessment

description: Scores from the 2021 global Ocean Health Index (OHI) assessment and accompanying data and models. The global Ocean Health Index assesses ocean health for 220 coastal countries and territories and has been conducted yearly since 2012. The Index describes how well we are sustainably managing 10 goals which represent the full suite of benefits that people want and need from the ocean. These goals include: artisanal fishing opportunity, biodiversity, carbon storage, clean waters, coastal livelihoods and economies, coastal protection, food provision, natural products, sense of place, and tourism and recreation. Each goal is given a score ranging from 0 to 100, and the full suite of goal scores are then averaged to obtain an overall index score for each region. Please see https://oceanhealthindex.org/ for additional resources and information.
DOI: 10.6084/m9.figshare.17156030
title: Supplementary_Tables_1&2.pdf

description: Supplementary Tables 1 and 2
DOI: 10.6084/m9.figshare.17156030.v1
title: Supplementary_Tables_1&2.pdf

description: Supplementary Tables 1 and 2
DOI: 10.5517/ccdc.csd.cc23rwkb
title: CCDC 1959372: Experimental Crystal Structure Determination

description: Related Article: Anastasia V. Chupina, Vladimir Shayapov, Alexander S. Novikov, Victoria V. Volchek, Enrico Benassi, Pavel A. Abramov, Maxim N. Sokolov|2020|Dalton Trans.|49|1522|doi:10.1039/C9DT04043A
DOI: 10.5517/ccdc.csd.cc28z9sc
title: CCDC 2114503: Experimental Crystal Structure Determination

description: Related Article: Baiyang Jiang, Mingji Dai|2021|J.Am.Chem.Soc.|143|20084|doi:10.1021/jacs.1c11060
DOI: 10.5517/ccdc.csd.cc2919f3
title: CCDC 2116414: Experimental Crystal Structure Determination

description: Related Article: Wei-Hong Wu, Hui-Min Zeng, Ze-Nan Yu, Chao Wang, Zhan-Guo Jiang, Cai-Hong Zhan|2021|Chem.Commun.|57|13337|doi:10.1039/D1CC06007D
DOI: 10.5517/ccdc.csd.cc2919g4
title: CCDC 2116415: Experimental Crystal Structure Determination

description: Related Article: Wei-Hong Wu, Hui-Min Zeng, Ze-Nan Yu, Chao Wang, Zhan-Guo Jiang, Cai-Hong Zhan|2021|Chem.Commun.|57|13337|doi:10.1039/D1CC06007D
DOI: 10.5517/ccdc.csd.cc28v66k
title: CCDC 2110548: Experimental Crystal Structure Determination

description: Related Article: Guo-Xia Jin, Teng Wang, Tai-Xing Yue, Xiao-Kang Wang, Fangna Dai, Xiang-Wen Wu, Qi-Kui Liu, Jian-Ping Ma|2021|Chem.Commun.|57|13325|doi:10.1039/D1CC05316G
DOI: 10.5517/ccdc.csd.cc28v67l
title: CCDC 2110549: Experimental Crystal Structure Determination

description: Related Article: Guo-Xia Jin, Teng Wang, Tai-Xing Yue, Xiao-Kang Wang, Fangna Dai, Xiang-Wen Wu, Qi-Kui Liu, Jian-Ping Ma|2021|Chem.Commun.|57|13325|doi:10.1039/D1CC05316G
DOI: 10.5517/ccdc.csd.cc20qt1m
title: CCDC 1868960: Experimental Crystal Structure Determination

description: Related Article: Bin Zhang|2018|CSD Communication|||
DOI: 10.6084/m9.figshare.14222462.v1
title: The Netrin-1-Neogenin-1 signaling axis controls neuroblastoma cell migration via integrin-β1 and focal adhesion kinase activation

description: Neuroblastoma is a highly metastatic tumor that emerges from neural crest cell progenitors. Focal Adhesion Kinase (FAK) is a regulator of cell migration that binds to the receptor Neogenin-1 and is upregulated in neuroblastoma. Here, we show that Netrin-1 ligand binding to Neogenin-1 leads to FAK autophosphorylation and integrin β1 activation in a FAK dependent manner, thus promoting neuroblastoma cell migration. Moreover, Neogenin-1, which was detected in all tumor stages and was required for neuroblastoma cell migration, was found in a complex with integrin β1, FAK, and Netrin-1. Importantly, Neogenin-1 promoted neuroblastoma metastases in an immunodeficient mouse model. Taken together, these data show that Neogenin-1 is a metastasis-promoting protein that associates with FAK, activates integrin β1 and promotes neuroblastoma cell migration.
DOI: 10.6084/m9.figshare.14222462
title: The Netrin-1-Neogenin-1 signaling axis controls neuroblastoma cell migration via integrin-β1 and focal adhesion kinase activation

description: Neuroblastoma is a highly metastatic tumor that emerges from neural crest cell progenitors. Focal Adhesion Kinase (FAK) is a regulator of cell migration that binds to the receptor Neogenin-1 and is upregulated in neuroblastoma. Here, we show that Netrin-1 ligand binding to Neogenin-1 leads to FAK autophosphorylation and integrin β1 activation in a FAK dependent manner, thus promoting neuroblastoma cell migration. Moreover, Neogenin-1, which was detected in all tumor stages and was required for neuroblastoma cell migration, was found in a complex with integrin β1, FAK, and Netrin-1. Importantly, Neogenin-1 promoted neuroblastoma metastases in an immunodeficient mouse model. Taken together, these data show that Neogenin-1 is a metastasis-promoting protein that associates with FAK, activates integrin β1 and promotes neuroblastoma cell migration.
DOI: 10.6084/m9.figshare.14816256
title: Microtubule destabilization is a critical checkpoint of chemotaxis and transendothelial migration in melanoma cells but not in T cells

description: Microtubules (MTs) control cell shape and intracellular cargo transport. The role of MT turnover in the migration of slow-moving cells through endothelial barriers remains unclear. To irreversibly interfere with MT disassembly, we have used the MT-stabilizing agent zampanolide (ZMP) in Β16F10 melanoma as amodel of slow-moving cells. ZMP-treated B16 cells failed to follow chemotactic gradients across rigid confinements and could not generate stable sub-endothelial pseudopodia under endothelial monolayers. In vivo, ZMP-treated Β16 cells failed to extravasate though lung capillaries. In contrast to melanoma cells, the chemotaxis and transendothelial migration of ZMP-treated Tcells were largely conserved. This is afirst demonstration that MT disassembly is akey checkpoint in the directional migration of cancer cells but not of lymphocytes.
DOI: 10.6084/m9.figshare.14816256.v3
title: Microtubule destabilization is a critical checkpoint of chemotaxis and transendothelial migration in melanoma cells but not in T cells

description: Microtubules (MTs) control cell shape and intracellular cargo transport. The role of MT turnover in the migration of slow-moving cells through endothelial barriers remains unclear. To irreversibly interfere with MT disassembly, we have used the MT-stabilizing agent zampanolide (ZMP) in Β16F10 melanoma as amodel of slow-moving cells. ZMP-treated B16 cells failed to follow chemotactic gradients across rigid confinements and could not generate stable sub-endothelial pseudopodia under endothelial monolayers. In vivo, ZMP-treated Β16 cells failed to extravasate though lung capillaries. In contrast to melanoma cells, the chemotaxis and transendothelial migration of ZMP-treated Tcells were largely conserved. This is afirst demonstration that MT disassembly is akey checkpoint in the directional migration of cancer cells but not of lymphocytes.
DOI: 10.6084/m9.figshare.14816256.v2
title: Microtubule destabilization is a critical checkpoint of chemotaxis and transendothelial migration in melanoma cells but not in T cells

description: Microtubules (MTs) control cell shape and intracellular cargo transport. The role of MT turnover in the migration of slow-moving cells through endothelial barriers remains unclear. To irreversibly interfere with MT disassembly, we have used the MT-stabilizing agent zampanolide (ZMP) in Β16F10 melanoma as amodel of slow-moving cells. ZMP-treated B16 cells failed to follow chemotactic gradients across rigid confinements and could not generate stable sub-endothelial pseudopodia under endothelial monolayers. In vivo, ZMP-treated Β16 cells failed to extravasate though lung capillaries. In contrast to melanoma cells, the chemotaxis and transendothelial migration of ZMP-treated Tcells were largely conserved. This is afirst demonstration that MT disassembly is akey checkpoint in the directional migration of cancer cells but not of lymphocytes.
DOI: 10.6084/m9.figshare.14379676
title: MAGI1 localizes to mature focal adhesion and modulates endothelial cell adhesion, migration and angiogenesis

description: MAGI1 is an intracellular adaptor protein that stabilizes cell junctions and regulates epithelial and endothelial integrity. Here, we report that that in endothelial cells MAGI1 colocalizes with paxillin, β3-integrin, talin 1, tensin 3 and α-4-actinin at mature focal adhesions and actin stress fibers, and regulates their dynamics. Downregulation of MAGI1 reduces focal adhesion formation and maturation, cell spreading, actin stress fiber formation and RhoA/Rac1 activation. MAGI1 silencing increases phosphorylation of paxillin at Y118, an indicator of focal adhesion turnover. MAGI1 promotes integrin-dependent endothelial cells adhesion to ECM, reduces invasion and tubulogenesis<i>in vitro</i> and suppresses angiogenesis <i>in vivo</i>. Our results identify MAGI1 as anovel component of focal adhesions, and regulator of focal adhesion dynamics, cell adhesion, invasion and angiogenesis.
DOI: 10.6084/m9.figshare.14705045
title: Long noncoding RNA <i>ENST00000508435</i> promotes migration of breast cancer via FXR 1

description: LncRNA plays a critical role in tumor progression. However, the role it executes in breast cancer is still unclear. Here, we report a newly discovered lncRNA, <i>ENST00000508435</i>, which could be remarkably up-regulated in breast cancer cells and tissues. We found that the expression of <i>ENST00000508435</i> was positively correlated with tumor size, lymph node metastasis and HER2. More interesting, overexpression of <i>ENST00000508435</i> significantly increased cell migration, while specific knockdown led to the opposite. RNA pull-down and RNA immunoprecipitation assays demonstrated that <i>ENST00000508435</i> could directly bind to FXR1 to promote tumor metastasis. <i>ENST00000508435</i> and FXR1 were positively correlated. FXR1 was also significantly up-regulated in breast tumors. Taken together, we propose that <i>ENST00000508435</i> regulates FXR1 to promote breast cancer metastasis.
DOI: 10.6084/m9.figshare.14705045.v1
title: Long noncoding RNA <i>ENST00000508435</i> promotes migration of breast cancer via FXR 1

description: LncRNA plays a critical role in tumor progression. However, the role it executes in breast cancer is still unclear. Here, we report a newly discovered lncRNA, <i>ENST00000508435</i>, which could be remarkably up-regulated in breast cancer cells and tissues. We found that the expression of <i>ENST00000508435</i> was positively correlated with tumor size, lymph node metastasis and HER2. More interesting, overexpression of <i>ENST00000508435</i> significantly increased cell migration, while specific knockdown led to the opposite. RNA pull-down and RNA immunoprecipitation assays demonstrated that <i>ENST00000508435</i> could directly bind to FXR1 to promote tumor metastasis. <i>ENST00000508435</i> and FXR1 were positively correlated. FXR1 was also significantly up-regulated in breast tumors. Taken together, we propose that <i>ENST00000508435</i> regulates FXR1 to promote breast cancer metastasis.
DOI: 10.6084/m9.figshare.14379676.v1
title: MAGI1 localizes to mature focal adhesion and modulates endothelial cell adhesion, migration and angiogenesis

description: MAGI1 is an intracellular adaptor protein that stabilizes cell junctions and regulates epithelial and endothelial integrity. Here, we report that that in endothelial cells MAGI1 colocalizes with paxillin, β3-integrin, talin 1, tensin 3 and α-4-actinin at mature focal adhesions and actin stress fibers, and regulates their dynamics. Downregulation of MAGI1 reduces focal adhesion formation and maturation, cell spreading, actin stress fiber formation and RhoA/Rac1 activation. MAGI1 silencing increases phosphorylation of paxillin at Y118, an indicator of focal adhesion turnover. MAGI1 promotes integrin-dependent endothelial cells adhesion to ECM, reduces invasion and tubulogenesis<i>in vitro</i> and suppresses angiogenesis <i>in vivo</i>. Our results identify MAGI1 as anovel component of focal adhesions, and regulator of focal adhesion dynamics, cell adhesion, invasion and angiogenesis.
DOI: 10.6084/m9.figshare.14827587
title: Analysis of exosome-derived microRNAs reveals insights of intercellular communication during invasion of breast, prostate and glioblastoma cancer cells

description: MiRNAs represent a mechanism that regulates gene expression in many pathological conditions. Exosomes are known to be secreted from all types of cells, and the exosomes-released molecules are crucial messengers that can regulate cellular processes. We investigated the miRNAs content of exosomes released by cancer cells during the invasion . An invasion stimulus has been generated through scratches created on the confluent cells of cancer cell lines: glioblastoma, breast and prostate cancers. Several miRNAs were found to be significantly differentially abundant during the cell invasion , both in common among different cell lines and exclusive. Understanding the language codes among cells involved in invasion can lead to the development of therapies that can inhibit cellular communication, slowing or eventually stopping their activity.
DOI: 10.6084/m9.figshare.14632569
title: Role of laminin and cognate receptors in cholangiocarcinoma cell migration

description: Extensive desmoplasia in cholangiocarcinoma (CCA) is associated with tumor aggressiveness, indicating a need for further understanding of CCA cell–matrix interaction. This study demonstrated laminin as the most potent attractant for CCA cell migration and the vast elevation of its receptor integrin β4 (ITGB4) in CCA cell lines. Besides, their high expressions in CCA tissues were correlated with lymphatic invasion and the presence of ITGB4 was also associated with short survival time. ITGB4 silencing revealed it as the receptor for laminin-induced HuCCA-1 migration, but KKU-213 utilized 37/67-kDa laminin receptor (LAMR) instead. These findings highlight the role of ITGB4 and LAMR in transducing laminin induction of CCA cell migration and the potential of ITGB4 as diagnostic and prognostic biomarkers for CCA.