cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5772681
title: Biomechanic and histologic analysis of fibroblastic effects of tendon-to-bone healing by transforming growth factor β1 (TGF-β1) in rotator cuff tears

description: Abstract Purpose: To evaluate the effect of transforming growth factor β1 (TGF-β1) on tendon-to-bone reconstruction of rotator cuff tears. Methods: Seventy-two rat supraspinatus tendons were transected and reconstructed in situ. At 8 and 16 weeks, specimens of three groups; that is control, L-dose (low dose), and H-dose (high dose) were harvested and underwent a biomechanical test to evaluate the maximum load and stiffness values. Histology sections of the tendon-to-bone interface were identified by hematoxylin-eosin or Masson trichrome stain. Collagen type III was observed by picric acid sirius red staining under polarized light. The level of insulin-like growth factor 1 (IGF-1) and vascular endothelial growth factor (VEGF) was measured by the enzyme-linked immunosorbent assay (ELISA) method. Results: Collagen type III of the H-dose group had a significant difference in histology structure compared with the L-dose group (P&lt;0.05). The maximum load and stiffness decreased significantly in the control group compared with the values of the L-dose and H-dose groups. The stiffness among the three groups differed significantly at the same postoperative time (P&lt;0.05). Interestingly, progressive reestablishment of collagen type III affected tendon-to-bone healing significantly in the later stages. Conclusion: The H-dose was associated with an increased collagen type III morphology stimulated by TGF-β1.
DOI: 10.6084/m9.figshare.5772681.v1
title: Biomechanic and histologic analysis of fibroblastic effects of tendon-to-bone healing by transforming growth factor β1 (TGF-β1) in rotator cuff tears

description: Abstract Purpose: To evaluate the effect of transforming growth factor β1 (TGF-β1) on tendon-to-bone reconstruction of rotator cuff tears. Methods: Seventy-two rat supraspinatus tendons were transected and reconstructed in situ. At 8 and 16 weeks, specimens of three groups; that is control, L-dose (low dose), and H-dose (high dose) were harvested and underwent a biomechanical test to evaluate the maximum load and stiffness values. Histology sections of the tendon-to-bone interface were identified by hematoxylin-eosin or Masson trichrome stain. Collagen type III was observed by picric acid sirius red staining under polarized light. The level of insulin-like growth factor 1 (IGF-1) and vascular endothelial growth factor (VEGF) was measured by the enzyme-linked immunosorbent assay (ELISA) method. Results: Collagen type III of the H-dose group had a significant difference in histology structure compared with the L-dose group (P&lt;0.05). The maximum load and stiffness decreased significantly in the control group compared with the values of the L-dose and H-dose groups. The stiffness among the three groups differed significantly at the same postoperative time (P&lt;0.05). Interestingly, progressive reestablishment of collagen type III affected tendon-to-bone healing significantly in the later stages. Conclusion: The H-dose was associated with an increased collagen type III morphology stimulated by TGF-β1.
DOI: 10.6084/m9.figshare.5773437
title: Additional file 2: Table S1. of DHEA-induced ovarian hyperfibrosis is mediated by TGF-β signaling pathway

description: The serum hormonal levels in Vehicle and SB431542 treated rats. ∆p ≤ 0.05, ∆∆p ≤ 0.01, significantly different from Oil + DHEA; #p ≤ 0.05, significantly different from Vehicle. Dates are mean ± SEM. (XLSX 11 kb)
DOI: 10.6084/m9.figshare.5773437.v1
title: Additional file 2: Table S1. of DHEA-induced ovarian hyperfibrosis is mediated by TGF-β signaling pathway

description: The serum hormonal levels in Vehicle and SB431542 treated rats. ∆p ≤ 0.05, ∆∆p ≤ 0.01, significantly different from Oil + DHEA; #p ≤ 0.05, significantly different from Vehicle. Dates are mean ± SEM. (XLSX 11 kb)
DOI: 10.6084/m9.figshare.5773506
title: Additional file 2: of Revealing Alzheimer’s disease genes spectrum in the whole-genome by machine learning

description: 335 AD-associated genes. The datasets collected from public Alzheimer’s disease databases (AlzGene) and the publications treating upon AD. (XLSX 14 kb)
DOI: 10.6084/m9.figshare.5773506.v1
title: Additional file 2: of Revealing Alzheimer’s disease genes spectrum in the whole-genome by machine learning

description: 335 AD-associated genes. The datasets collected from public Alzheimer’s disease databases (AlzGene) and the publications treating upon AD. (XLSX 14 kb)
DOI: 10.6084/m9.figshare.5773524
title: Additional file 3: of Revealing Alzheimerâ s disease genes spectrum in the whole-genome by machine learning

description: The classification of AD-associated genes and AD-non associated genes. C1-AD: probable pathogenic genes; C2-AD: high confidence genes; C3-AD: related genes; C4-AD: possibly associated genes; C5-AD: AD-non associated genes. (XLSX 19Â kb)
DOI: 10.6084/m9.figshare.5773524.v1
title: Additional file 3: of Revealing Alzheimerâ s disease genes spectrum in the whole-genome by machine learning

description: The classification of AD-associated genes and AD-non associated genes. C1-AD: probable pathogenic genes; C2-AD: high confidence genes; C3-AD: related genes; C4-AD: possibly associated genes; C5-AD: AD-non associated genes. (XLSX 19Â kb)
DOI: 10.6084/m9.figshare.5773539
title: Additional file 4: of Revealing Alzheimer’s disease genes spectrum in the whole-genome by machine learning

description: 832 AD predicted genes. A total number of AD predicted genes across the whole genome in our study. (XLSX 68 kb)
DOI: 10.6084/m9.figshare.5773539.v1
title: Additional file 4: of Revealing Alzheimer’s disease genes spectrum in the whole-genome by machine learning

description: 832 AD predicted genes. A total number of AD predicted genes across the whole genome in our study. (XLSX 68 kb)
DOI: 10.6084/m9.figshare.5773911.v1
title: Inhibition of the RhoA/Rho-associated, coiled-coil-containing protein kinase-1 pathway is involved in the therapeutic effects of simvastatin on pulmonary arterial hypertension

description: <i>Background</i>: Recent research has shown that statins improve pulmonary arterial hypertension (PAH), but their mechanisms of action are not fully understood. This study aimed to investigate the role of RhoA/ROCK1 regulation in the therapeutic effects of simvastatin on PAH. <i>Methods</i>: For <i>in vivo</i> experiments, rats (<i>N</i> = 40) were randomly assigned to four groups: control, simvastatin, monocrotaline (MCT), and MCT + simvastatin. The MCT group and MCT + simvastatin groups received proline dithiocarbamate (50 mg/kg, i.p.) on the first day of the study. The MCT + simvastatin group received simvastatin (2 mg/kg) daily for 4 weeks, after which pulmonary arterial pressure was measured by right heart catheterization. The protein and mRNA levels of Rho and ROCK1 were measured by immunohistochemistry, Western blot, and PCR. For <i>in vitro</i> experiments, human pulmonary endothelial cells were divided into seven groups: control, simvastatin, monocrotaline pyrrole (MCTP), MCTP + simvastatin, MCTP + simvastatin + mevalonate, MCTP + simvastatin + farnesyl pyrophosphate (FPP), and MCTP + simvastatin + FPP + geranylgeranyl pyrophosphate (GGPP). After 72 h exposed to the drugs, the protein and mRNA levels of RhoA and ROCK1 were measured by Western blot and PCR. <i>Results</i>: The MCT group showed increased mean pulmonary arterial pressure, marked vascular remodeling, and increased protein and mRNA levels of RhoA and ROCK1 compared to the other groups (<i>P</i> &lt; 0.05). <i>In vitro</i>, the MCTP group showed a marked proliferation of vascular endothelial cells, as well as increased protein and mRNA levels of RhoA and ROCK1 compared to the MCTP + simvastatin group. The MCTP + simvastatin + mevalonate group, MCTP + simvastatin+ FPP group, and MCTP + simvastatin + FPP + GGPP group showed increased mRNA levels of RhoA and ROCK1, as well as increased protein levels of RhoA, compared to the MCTP + simvastatin group. <i>Conclusions</i>: Simvastatin improved vascular remodeling and inhibited the development of PAH. The effects of simvastatin were mediated by inhibition of RhoA/ROCK1. Simvastatin decreased RhoA/ROCK1 overexpression by inhibition of mevalonate, FPP, and GGPP synthesis.
DOI: 10.6084/m9.figshare.5773911
title: Inhibition of the RhoA/Rho-associated, coiled-coil-containing protein kinase-1 pathway is involved in the therapeutic effects of simvastatin on pulmonary arterial hypertension

description: <i>Background</i>: Recent research has shown that statins improve pulmonary arterial hypertension (PAH), but their mechanisms of action are not fully understood. This study aimed to investigate the role of RhoA/ROCK1 regulation in the therapeutic effects of simvastatin on PAH. <i>Methods</i>: For <i>in vivo</i> experiments, rats (<i>N</i> = 40) were randomly assigned to four groups: control, simvastatin, monocrotaline (MCT), and MCT + simvastatin. The MCT group and MCT + simvastatin groups received proline dithiocarbamate (50 mg/kg, i.p.) on the first day of the study. The MCT + simvastatin group received simvastatin (2 mg/kg) daily for 4 weeks, after which pulmonary arterial pressure was measured by right heart catheterization. The protein and mRNA levels of Rho and ROCK1 were measured by immunohistochemistry, Western blot, and PCR. For <i>in vitro</i> experiments, human pulmonary endothelial cells were divided into seven groups: control, simvastatin, monocrotaline pyrrole (MCTP), MCTP + simvastatin, MCTP + simvastatin + mevalonate, MCTP + simvastatin + farnesyl pyrophosphate (FPP), and MCTP + simvastatin + FPP + geranylgeranyl pyrophosphate (GGPP). After 72 h exposed to the drugs, the protein and mRNA levels of RhoA and ROCK1 were measured by Western blot and PCR. <i>Results</i>: The MCT group showed increased mean pulmonary arterial pressure, marked vascular remodeling, and increased protein and mRNA levels of RhoA and ROCK1 compared to the other groups (<i>P</i> &lt; 0.05). <i>In vitro</i>, the MCTP group showed a marked proliferation of vascular endothelial cells, as well as increased protein and mRNA levels of RhoA and ROCK1 compared to the MCTP + simvastatin group. The MCTP + simvastatin + mevalonate group, MCTP + simvastatin+ FPP group, and MCTP + simvastatin + FPP + GGPP group showed increased mRNA levels of RhoA and ROCK1, as well as increased protein levels of RhoA, compared to the MCTP + simvastatin group. <i>Conclusions</i>: Simvastatin improved vascular remodeling and inhibited the development of PAH. The effects of simvastatin were mediated by inhibition of RhoA/ROCK1. Simvastatin decreased RhoA/ROCK1 overexpression by inhibition of mevalonate, FPP, and GGPP synthesis.
DOI: 10.6084/m9.figshare.5777100
title: MOESM1 of Characterization and selective incorporation of small non-coding RNAs in non-small cell lung cancer extracellular vesicles

description: Additional file 1. Additional Figures S1â S7 and Tables S1â S5.
DOI: 10.6084/m9.figshare.5777100.v1
title: MOESM1 of Characterization and selective incorporation of small non-coding RNAs in non-small cell lung cancer extracellular vesicles

description: Additional file 1. Additional Figures S1â S7 and Tables S1â S5.
DOI: 10.6084/m9.figshare.5777343
title: Additional file 1: of A study on the implementation fidelity of the performance-based financing policy in Burkina Faso after 12 months

description: Dataset. (XLSX 19 kb)
DOI: 10.6084/m9.figshare.5777343.v1
title: Additional file 1: of A study on the implementation fidelity of the performance-based financing policy in Burkina Faso after 12 months

description: Dataset. (XLSX 19 kb)
DOI: 10.6084/m9.figshare.5782734
title: Additional file 2: Table S6. of Systematic target function annotation of human transcription factors

description: A list of negatively associated functional concepts regulated by shared transcription factors. Negative association of two concepts is defined as a negative Phi coefficient defined based on the member genes of two functional concepts A and B. (XLSX 413Â kb)
DOI: 10.6084/m9.figshare.5782734.v1
title: Additional file 2: Table S6. of Systematic target function annotation of human transcription factors

description: A list of negatively associated functional concepts regulated by shared transcription factors. Negative association of two concepts is defined as a negative Phi coefficient defined based on the member genes of two functional concepts A and B. (XLSX 413Â kb)
DOI: 10.6084/m9.figshare.5782743
title: Additional file 3: Table S7. of Systematic target function annotation of human transcription factors

description: The complete transcription factor annotation results. â Log10 (P value) are provided in parentheses following the target functions. (XLSX 153Â kb)
DOI: 10.6084/m9.figshare.5782743.v1
title: Additional file 3: Table S7. of Systematic target function annotation of human transcription factors

description: The complete transcription factor annotation results. â Log10 (P value) are provided in parentheses following the target functions. (XLSX 153Â kb)
DOI: 10.6084/m9.figshare.5782758
title: Additional file 4: Table S8. of Systematic target function annotation of human transcription factors

description: The complete list of TF pairs with significant target function overlaps but lower than expected target gene overlaps. Negative association (i.e., lower than expected target gene overlaps) of two TFs is defined as a negative Phi coefficient of the target gene overlaps of two TFs â TF1 and TF2. (XLSX 46Â kb)
DOI: 10.6084/m9.figshare.5782758.v1
title: Additional file 4: Table S8. of Systematic target function annotation of human transcription factors

description: The complete list of TF pairs with significant target function overlaps but lower than expected target gene overlaps. Negative association (i.e., lower than expected target gene overlaps) of two TFs is defined as a negative Phi coefficient of the target gene overlaps of two TFs â TF1 and TF2. (XLSX 46Â kb)
DOI: 10.6084/m9.figshare.5782767
title: Additional file 5: Table S10. of Systematic target function annotation of human transcription factors

description: The raw transcription factor–target gene (TFTG) relationships in GMT file format for 6000bp window size. (GMT 987 kb)
DOI: 10.6084/m9.figshare.5782767.v1
title: Additional file 5: Table S10. of Systematic target function annotation of human transcription factors

description: The raw transcription factor–target gene (TFTG) relationships in GMT file format for 6000bp window size. (GMT 987 kb)
DOI: 10.6084/m9.figshare.5782776
title: Additional file 6: Table S11. of Systematic target function annotation of human transcription factors

description: The raw transcription factorâ target gene (TFTG) relationships in GMT file format for 20,000bp window size. (GMT 1413 kb)
DOI: 10.6084/m9.figshare.5782776.v1
title: Additional file 6: Table S11. of Systematic target function annotation of human transcription factors

description: The raw transcription factorâ target gene (TFTG) relationships in GMT file format for 20,000bp window size. (GMT 1413 kb)
DOI: 10.6084/m9.figshare.5783151
title: Table 3. Zircon LA–ICP–MS U–Pb isotopic data. Petrogenesis of Early Paleozoic diorites and mafic–intermediate dykes from the eastern Qilian orogen, NE Tibetan Plateau: implication for lithospheric processes

description: Table 3. Zircon LA–ICP–MS U–Pb isotopic data.
DOI: 10.6084/m9.figshare.5783151.v1
title: Table 3. Zircon LA–ICP–MS U–Pb isotopic data. Petrogenesis of Early Paleozoic diorites and mafic–intermediate dykes from the eastern Qilian orogen, NE Tibetan Plateau: implication for lithospheric processes

description: Table 3. Zircon LA–ICP–MS U–Pb isotopic data.
DOI: 10.6084/m9.figshare.5783157
title: Table 4. Zircon Lu–Hf isotopic data. Petrogenesis of Early Paleozoic diorites and mafic–intermediate dykes from the eastern Qilian orogen, NE Tibetan Plateau: implication for lithospheric processes

description: Table 4. Zircon Lu–Hf isotopic data.
DOI: 10.6084/m9.figshare.5783157.v1
title: Table 4. Zircon Lu–Hf isotopic data. Petrogenesis of Early Paleozoic diorites and mafic–intermediate dykes from the eastern Qilian orogen, NE Tibetan Plateau: implication for lithospheric processes

description: Table 4. Zircon Lu–Hf isotopic data.
DOI: 10.6084/m9.figshare.5785902
title: Additional file 2: Dataset S1. of Aberrant expression and DNA methylation of lipid metabolism genes in PCOS: a new insight into its pathogenesis

description: All genes detected by Transcriptome Sequencing. (XLS 4329Â kb)
DOI: 10.6084/m9.figshare.5785902.v1
title: Additional file 2: Dataset S1. of Aberrant expression and DNA methylation of lipid metabolism genes in PCOS: a new insight into its pathogenesis

description: All genes detected by Transcriptome Sequencing. (XLS 4329Â kb)
DOI: 10.6084/m9.figshare.5785923
title: Additional file 3: Dataset S2. of Aberrant expression and DNA methylation of lipid metabolism genes in PCOS: a new insight into its pathogenesis

description: 92 genes significantly differentially expressed in GCs of PCOS compared with controls. (XLS 68Â kb)
DOI: 10.6084/m9.figshare.5785923.v1
title: Additional file 3: Dataset S2. of Aberrant expression and DNA methylation of lipid metabolism genes in PCOS: a new insight into its pathogenesis

description: 92 genes significantly differentially expressed in GCs of PCOS compared with controls. (XLS 68Â kb)
DOI: 10.6084/m9.figshare.5785977
title: MOESM1 of Chemical genomic guided engineering of gamma-valerolactone tolerant yeast

description: Additional file 1. GVL hydrolysate inhibitors.
DOI: 10.6084/m9.figshare.5785977.v1
title: MOESM1 of Chemical genomic guided engineering of gamma-valerolactone tolerant yeast

description: Additional file 1. GVL hydrolysate inhibitors.
DOI: 10.6084/m9.figshare.5785995
title: MOESM2 of Chemical genomic guided engineering of gamma-valerolactone tolerant yeast

description: Additional file 2. Chemical genomic profile of GVL.
DOI: 10.6084/m9.figshare.5785995.v1
title: MOESM2 of Chemical genomic guided engineering of gamma-valerolactone tolerant yeast

description: Additional file 2. Chemical genomic profile of GVL.
DOI: 10.6084/m9.figshare.5785998
title: Additional file 1: of Targeting ectodysplasin promotor by CRISPR/dCas9-effector effectively induces the reprogramming of human bone marrow-derived mesenchymal stem cells into sweat gland-like cells

description: Primer sequence information for RT-qPCR amplification. (XLSX 11 kb)
DOI: 10.6084/m9.figshare.5785998.v1
title: Additional file 1: of Targeting ectodysplasin promotor by CRISPR/dCas9-effector effectively induces the reprogramming of human bone marrow-derived mesenchymal stem cells into sweat gland-like cells

description: Primer sequence information for RT-qPCR amplification. (XLSX 11 kb)
DOI: 10.6084/m9.figshare.5786040
title: MOESM4 of Chemical genomic guided engineering of gamma-valerolactone tolerant yeast

description: Additional file 4. Proteomic profile of Y133 pad1â fdc1â vs Y133 grown in YPD medium plus 1% GVL.
DOI: 10.6084/m9.figshare.5786040.v1
title: MOESM4 of Chemical genomic guided engineering of gamma-valerolactone tolerant yeast

description: Additional file 4. Proteomic profile of Y133 pad1â fdc1â vs Y133 grown in YPD medium plus 1% GVL.
DOI: 10.6084/m9.figshare.5786244
title: Additional file 2: Table S2. of STAT3-induced lncRNA HAGLROS overexpression contributes to the malignant progression of gastric cancer cells via mTOR signal-mediated inhibition of autophagy

description: Primers used for qRT-PCR,RT-PCR, CHIP and siRNAs/shRNA oligonucleotides. (XLSX 12 kb)
DOI: 10.6084/m9.figshare.5786244.v1
title: Additional file 2: Table S2. of STAT3-induced lncRNA HAGLROS overexpression contributes to the malignant progression of gastric cancer cells via mTOR signal-mediated inhibition of autophagy

description: Primers used for qRT-PCR,RT-PCR, CHIP and siRNAs/shRNA oligonucleotides. (XLSX 12 kb)
DOI: 10.6084/m9.figshare.5786322
title: Additional file 1: Table S1. of Platelet protein biomarker panel for ovarian cancer diagnosis

description: Detailed description of the clinical material. Table S2. Description of the primary antibodies. Table S3. Function of proteins biomarkers, relation to ovarian cancer and platelet function. Table S4. Predicted functional partners for identified biomarkers. (XLSX 32 kb)
DOI: 10.6084/m9.figshare.5786322.v1
title: Additional file 1: Table S1. of Platelet protein biomarker panel for ovarian cancer diagnosis

description: Detailed description of the clinical material. Table S2. Description of the primary antibodies. Table S3. Function of proteins biomarkers, relation to ovarian cancer and platelet function. Table S4. Predicted functional partners for identified biomarkers. (XLSX 32 kb)
DOI: 10.6084/m9.figshare.5788125
title: A Twitter Dataset on Tweets about People who Got Lost due to Dementia

description: This is the dataset used and analyzed in the paper "How can we Better Use Twitter to find a Person who Got Lost due to Dementia?".<br>A total of five tables are included. 1. raw_tweets.rds: All tweets that mentioned (i) "Dementia" or "Alzheimer"; and (ii) "Lost" or "Missing", which were crawled from Twitter from April to May 2017. 2. raw_userinfo.rds: The corresponding Twitter user info of Tweets.3. filtered_tweets.csv: Tweets that were included in the study. Details (age, gender, place, etc.) of the corresponding lost person mentioned in each tweet were appended in this table. 4. filtered_userinfo.csv: The corresponding Twitter user info of Tweets that were included in the study. Occupation (police / media / others) of each user were appended in this table. 5. cleansed_lostcases.csv: A cleansed table that shows several features of the lost cases.<br>
DOI: 10.6084/m9.figshare.5788125.v1
title: A Twitter Dataset on Tweets about People who Got Lost due to Dementia

description: This is the dataset used and analyzed in the paper "How can we Better Use Twitter to find a Person who Got Lost due to Dementia?".<br>A total of five tables are included. 1. raw_tweets.rds: All tweets that mentioned (i) "Dementia" or "Alzheimer"; and (ii) "Lost" or "Missing", which were crawled from Twitter from April to May 2017. 2. raw_userinfo.rds: The corresponding Twitter user info of Tweets.3. filtered_tweets.csv: Tweets that were included in the study. Details (age, gender, place, etc.) of the corresponding lost person mentioned in each tweet were appended in this table. 4. filtered_userinfo.csv: The corresponding Twitter user info of Tweets that were included in the study. Occupation (police / media / others) of each user were appended in this table. 5. cleansed_lostcases.csv: A cleansed table that shows several features of the lost cases.<br>
DOI: 10.6084/m9.figshare.5788173
title: Additional file 1: Table S1. of Genome-wide identification, characterization and classification of ionotropic glutamate receptor genes (iGluRs) in the malaria vector Anopheles sinensis (Diptera: Culicidae)

description: Sequences information and basic biochemical characteristics of iGluRs in Anopheles sinensis. (XLS 69Â kb)
DOI: 10.6084/m9.figshare.5788173.v1
title: Additional file 1: Table S1. of Genome-wide identification, characterization and classification of ionotropic glutamate receptor genes (iGluRs) in the malaria vector Anopheles sinensis (Diptera: Culicidae)

description: Sequences information and basic biochemical characteristics of iGluRs in Anopheles sinensis. (XLS 69Â kb)
DOI: 10.6084/m9.figshare.5788209
title: Additional file 3: Table S3. of Genome-wide identification, characterization and classification of ionotropic glutamate receptor genes (iGluRs) in the malaria vector Anopheles sinensis (Diptera: Culicidae)

description: Detailed information of intron-exon organization of iGluR genes in Anopheles sinensis. (XLS 61Â kb)
DOI: 10.6084/m9.figshare.5788209.v1
title: Additional file 3: Table S3. of Genome-wide identification, characterization and classification of ionotropic glutamate receptor genes (iGluRs) in the malaria vector Anopheles sinensis (Diptera: Culicidae)

description: Detailed information of intron-exon organization of iGluR genes in Anopheles sinensis. (XLS 61Â kb)