cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10652899
title: Dataset related to article "Derived myeloid lineage induced pluripotent stem as a platform to study human C-C chemokine receptor type 5Δ32 homozygotes"

description: This record contains raw data related to article “Derived myeloid lineage induced pluripotent stem as a platform to study human C-C chemokine receptor type 5Δ32 homozygotes"

The C-C chemokine receptor type 5 (CCR5) expressed on immune cells supports inflammatory responses by directing cells to the inflammation site. CCR5 is also a major coreceptor for macrophage tropic human immunodeficiency viruses (R5-HIV-1) and its variants can confer protection from HIV infection, making it an ideal candidate to target for therapy. We developed a stepwise protocol that differentiates induced pluripotent stem cells (iPSCs) from individuals homozygous for the CCR5Δ32 variant and healthy volunteers into myeloid lineage induced monocytes (iMono) and macrophages (iMac). By characterizing iMono and iMac against their primary counterparts, we demonstrated that CCR5Δ32 homozygous cells are endowed with similar pluripotent potential for self-renewal and differentiation as iPSC lines generated from non-variant individuals while also showing resistance to HIV infection. In conclusion, these cells are a platform to investigate CCR5 pathophysiology in HIV-positive and negative individuals and to help develop novel therapies.
DOI: 10.25582/data.2023-02.2732532/2298043
title: Data for EMSL Project 51287 from February 2023
DOI: 10.6084/m9.figshare.12756692.v1
title: Additional file 3 of Transgelin interacts with PARP1 in human colon cancer cells

description: Additional file 3. The metadata of peptide identified with high-performance liquid chromatography/tandem mass spectrometry. The dataset included two sheets; the NC sheet contained peptides identified in the RKO-CTRL-FLAG group, while the TAGLN sheet contained peptides identified in the RKO-TAGLN-FLAG group.
DOI: 10.25582/data.2023-02.2732663/2298044
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-01.2709984/2298045
title: Data for EMSL Project 51287 from January 2023
DOI: 10.6084/m9.figshare.12756689.v1
title: Additional file 2 of Transgelin interacts with PARP1 in human colon cancer cells

description: Additional file 2. The metadata of protein identification with high-performance liquid chromatography/tandem mass spectrometry. The dataset included two sheets; the NC sheet contained proteins identified in the RKO-CTRL-FLAG group, while the TAGLN sheet contained proteins identified in the RKO-TAGLN-FLAG group.
DOI: 10.25582/data.2023-01.2708674/2298046
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2708900/2298047
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-02.2732800/2298048
title: Data for EMSL Project 51287 from February 2023
DOI: 10.6084/m9.figshare.14329457
title: Additional file 1 of Identification of virulence associated milRNAs and their bidirectional targets in Rhizoctonia solani and maize during infection

description: Additional file 1 Table S1. List of conserved and novel milRNAs identified in R. solani AG1-IA.Table S2. Targets of milRNAs in R. solani AG1-IA.Table S3. Function annotation of target genes in R. solani AG1-IA.Table S4. List of target genes associated with pathogenesis. Table S5. GO analysis of target genes in R. solani AG1-IA.Table S6. milRNAs differentailly expressed between IA and IA-3d.Table S7. Target genes in R. solani AG1-IA of VA milRNAs. Table S8. Function annotation of target genes in R. solani AG1-IA of VA milRNAs. Table S9. GO annotation of target genes in R. solani AG1-IA of differentially expressed milRNAs. Table S10. Target genes in maize of VA milRNAs. Table S11. Function annotation and GO analysis of target genes in maize. Table S12. Number of cis-elements in the promoter of maize genes targeted by VA milRNAs. Table S13. Primers of milRNAs used for real-time PCR. Table S14. Primers of target genes in AG1-IA used for real-time RT-PCR.Table S15. Primers of target genes in maize used for real-time RT-PCR and 3′ UTR amplification.
DOI: 10.25582/data.2023-01.2711103/2298049
title: Data for EMSL Project 51287 from January 2023
DOI: 10.6084/m9.figshare.14329460
title: Additional file 2 of Identification of virulence associated milRNAs and their bidirectional targets in Rhizoctonia solani and maize during infection

description: Additional file 2 Fig. S1. Secondary structures of 10 milRNA precursors. Fig. S2. Symptoms of maize sheath inoculated by AG1-IA after (a) 0 h (b)12 h (c) 24 h (d) 3 days and (e) 5 days. Fig. S3. Features of plasmids used in the Luciferase assay. (a) Vector construction of mature Rhi-milR9829-5p using pCAMBIA1300–35-X. (b) Vector map of pCAMBIA1300-LUC used for the construction of GRMZM2G412674. (c) Vector map of the double reporter (firefly luciferase and Renilla luciferase genes) pGreenII0800-LUC vector which was used as an internal control.
DOI: 10.6084/m9.figshare.12234437
title: A new environment-aware scheduling method for remanufacturing system with non-dedicated reprocessing lines using improved flower pollination algorithm

description: This is the experimental data of the manuscript entitled “A new environment-aware scheduling method for remanufacturing system with non-dedicated reprocessing lines using improved flower pollination algorithm”. All data are generated through computer simulation and saved in the file with csv format. There are two datasets for these experiments, which include 17 instances in total. The datasets show the carbon emission signature, the weights for two objectives, the time to complete the corresponding operations in the corresponding workstations or reprocessing cells. The number of disassembly workstations, reassembly workstations, and reprocessing cells in each reprocessing line, the power consumptions of reassembly workstations and reprocessing cells in idle status and start-stop status, and the start-up time of reassembly workstations and reprocessing cells in each reprocessing line also shows in the datasets.
DOI: 10.6084/m9.figshare.14329457.v1
title: Additional file 1 of Identification of virulence associated milRNAs and their bidirectional targets in Rhizoctonia solani and maize during infection

description: Additional file 1 Table S1. List of conserved and novel milRNAs identified in R. solani AG1-IA.Table S2. Targets of milRNAs in R. solani AG1-IA.Table S3. Function annotation of target genes in R. solani AG1-IA.Table S4. List of target genes associated with pathogenesis. Table S5. GO analysis of target genes in R. solani AG1-IA.Table S6. milRNAs differentailly expressed between IA and IA-3d.Table S7. Target genes in R. solani AG1-IA of VA milRNAs. Table S8. Function annotation of target genes in R. solani AG1-IA of VA milRNAs. Table S9. GO annotation of target genes in R. solani AG1-IA of differentially expressed milRNAs. Table S10. Target genes in maize of VA milRNAs. Table S11. Function annotation and GO analysis of target genes in maize. Table S12. Number of cis-elements in the promoter of maize genes targeted by VA milRNAs. Table S13. Primers of milRNAs used for real-time PCR. Table S14. Primers of target genes in AG1-IA used for real-time RT-PCR.Table S15. Primers of target genes in maize used for real-time RT-PCR and 3′ UTR amplification.
DOI: 10.25582/data.2023-01.2706006/2298050
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-02.2732411/2298051
title: Data for EMSL Project 51287 from February 2023
DOI: 10.6084/m9.figshare.14329460.v1
title: Additional file 2 of Identification of virulence associated milRNAs and their bidirectional targets in Rhizoctonia solani and maize during infection

description: Additional file 2 Fig. S1. Secondary structures of 10 milRNA precursors. Fig. S2. Symptoms of maize sheath inoculated by AG1-IA after (a) 0 h (b)12 h (c) 24 h (d) 3 days and (e) 5 days. Fig. S3. Features of plasmids used in the Luciferase assay. (a) Vector construction of mature Rhi-milR9829-5p using pCAMBIA1300–35-X. (b) Vector map of pCAMBIA1300-LUC used for the construction of GRMZM2G412674. (c) Vector map of the double reporter (firefly luciferase and Renilla luciferase genes) pGreenII0800-LUC vector which was used as an internal control.
DOI: 10.25582/data.2023-01.2709008/2298052
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-02.2732657/2298053
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2733187/2298054
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-01.2709931/2298055
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2709765/2298056
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-02.2732654/2298057
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-01.2711174/2298058
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2710274/2298059
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-02.2733117/2298060
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2733137/2298061
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-01.2710685/2298062
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2710962/2298063
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2711335/2298064
title: Data for EMSL Project 51287 from January 2023
DOI: 10.6084/m9.figshare.19571978
title: Additional file 1 of Mapping the distributions of blood-sucking mites and mite-borne agents in China: a modeling study

description: Additional file 1. The dataset for mites.
DOI: 10.25582/data.2023-02.2733152/2298065
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-01.2708693/2298066
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2712139/2298067
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2716648/2298068
title: Data for EMSL Project 51287 from January 2023
DOI: 10.6084/m9.figshare.12756689
title: Additional file 2 of Transgelin interacts with PARP1 in human colon cancer cells

description: Additional file 2. The metadata of protein identification with high-performance liquid chromatography/tandem mass spectrometry. The dataset included two sheets; the NC sheet contained proteins identified in the RKO-CTRL-FLAG group, while the TAGLN sheet contained proteins identified in the RKO-TAGLN-FLAG group.
DOI: 10.25582/data.2023-01.2706919/2298069
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2712156/2298070
title: Data for EMSL Project 51287 from January 2023
DOI: 10.6084/m9.figshare.14329468.v1
title: Additional file 1 of Phenome-wide investigation of the causal associations between childhood BMI and adult trait outcomes: a two-sample Mendelian randomization study

description: Additional file 1. This file provides the details of Supplementary tables S1-S17.
DOI: 10.25582/data.2023-02.2733118/2298071
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-01.2709514/2298072
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-02.2732258/2298073
title: Data for EMSL Project 51287 from February 2023
DOI: 10.6084/m9.figshare.8040434
title: Population pharmacokinetics and dosing regimen optimization of tacrolimus in Chinese pediatric hematopoietic stem cell transplantation patients

description: 1. Several tacrolimus population pharmacokinetic (PPK) models in hematopoietic stem cell transplantation (HSCT) patients have been set up to recommend an optimal dosage schedule. However, the PPK model of Chinese pediatric HSCT patients has not been reported. The study is to investigate whether published PPK models of HSCT patients can be used to simulate Chinese pediatric HSCT patients and establish the tacrolimus PPK model of Chinese pediatric HSCT patients. 2. Published PPK models were collected from the literature and assessed using Chinese pediatric HSCT patients via the individual prediction error method. The establishment of tacrolimus PPK model in Chinese pediatric HSCT patients was characterized with nonlinear mixed-effects modeling (NONMEM). 3. Three published HSCT PPK models were identified, two of which could be applied to our external dataset. However, these models were dissatisfactory in terms of individual prediction error and, hence, inadequate for extrapolation. Finally, a new tacrolimus PPK model in Chinese pediatric HSCT patients was established. Based on the simulation results of our model, new initial dosage suggestions were recommended. In conclusion, the tacrolimus PPK model in Chinese pediatric HSCT patients was presented and the model could be used to predict individualized dosing regimens in children with HSCT.
DOI: 10.6084/m9.figshare.8040434.v1
title: Population pharmacokinetics and dosing regimen optimization of tacrolimus in Chinese pediatric hematopoietic stem cell transplantation patients

description: 1. Several tacrolimus population pharmacokinetic (PPK) models in hematopoietic stem cell transplantation (HSCT) patients have been set up to recommend an optimal dosage schedule. However, the PPK model of Chinese pediatric HSCT patients has not been reported. The study is to investigate whether published PPK models of HSCT patients can be used to simulate Chinese pediatric HSCT patients and establish the tacrolimus PPK model of Chinese pediatric HSCT patients. 2. Published PPK models were collected from the literature and assessed using Chinese pediatric HSCT patients via the individual prediction error method. The establishment of tacrolimus PPK model in Chinese pediatric HSCT patients was characterized with nonlinear mixed-effects modeling (NONMEM). 3. Three published HSCT PPK models were identified, two of which could be applied to our external dataset. However, these models were dissatisfactory in terms of individual prediction error and, hence, inadequate for extrapolation. Finally, a new tacrolimus PPK model in Chinese pediatric HSCT patients was established. Based on the simulation results of our model, new initial dosage suggestions were recommended. In conclusion, the tacrolimus PPK model in Chinese pediatric HSCT patients was presented and the model could be used to predict individualized dosing regimens in children with HSCT.
DOI: 10.25582/data.2023-01.2705709/2298074
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2710721/2298075
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-02.2732614/2298076
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-01.2707507/2298077
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-02.2732659/2298078
title: Data for EMSL Project 51287 from February 2023
DOI: 10.6084/m9.figshare.6991994.v1
title: Two independent grain-length mutants mapped to a single region on the long arm of chromosome 2 in rice

description: ABSTRACT Grain shape in rice is a key determinant of grain appearance, yield and market value, and thus has been widely studied. Rice mutant lines with long-grain phenotypes were previously isolated from an M2 population derived from mutagenized mature pollen grains that were treated with gamma-ray irradiation for a cultivar Ma85. To understand the genetic basis underlying the long-grain trait, two mutant lines, JF171 and JF178, were crossed with the short-grain parents JF222 and Samba, generating three F2 populations. Molecular marker-based genetic analysis was employed to detect the major QTLs that affected grain length, grain width, length-to-width ratio and grain weight. Based on the data obtained for the three populations, a joint major QTL for grain length was mapped to a 4.7 Mb region between the SSR makers RM263 and RM318 on the long arm of chromosome 2. The results suggested that the two independent mutations contained in JF171 and JF178 are likely due to alterations in the same genetic region. Furthermore, we developed a BC2F2 population using JF178 and Samba and narrowed the region to 0.6 Mb. The results of the current study will be helpful to reveal the genetic basis of the above long-grain mutant lines. In general, our results provide solid genetic data to identify the unknown gene that affects grain length by map-based cloning and practice marker-assisted breeding for long-grain rice cultivars.
DOI: 10.25582/data.2023-01.2710526/2298079
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-02.2732293/2298080
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2732512/2298081
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2732529/2298082
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-01.2706495/2298083
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2707171/2298084
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2710974/2298085
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2709111/2298086
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2710595/2298087
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-02.2732274/2298088
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2732488/2298089
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-01.2710366/2298090
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2710583/2298091
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2710694/2298092
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-02.2732214/2298093
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-01.2706881/2298094
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2706926/2298095
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2710497/2298096
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-02.2732626/2298097
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-01.2706492/2298098
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2705973/2298099
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2710842/2298100
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2715659/2298101
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2708816/2298102
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2710542/2298103
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2709464/2298104
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2709796/2298105
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2710713/2298106
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-02.2732631/2298107
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-01.2715539/2298108
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2709991/2298109
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2710035/2298110
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2711128/2298111
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2709678/2298112
title: Data for EMSL Project 51287 from January 2023
DOI: 10.6084/m9.figshare.6468185
title: Supplemental Table 1. Lipid levels and the prevalence of specific abnormal lipid profiles by BMI categories

description: For
BMI categories, compared with non-overweight youth,
youth with overweight (including obesity) had a higher TC, TG and LDL, lower
HDL levels, and higher prevalence of each specific abnormal lipid (<i>P </i>&lt; 0.01).
DOI: 10.25582/data.2023-01.2710493/2298113
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-02.2732317/2298114
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-02.2732390/2298115
title: Data for EMSL Project 51287 from February 2023
DOI: 10.25582/data.2023-01.2710412/2298116
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2708664/2298117
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-01.2711446/2298118
title: Data for EMSL Project 51287 from January 2023
DOI: 10.25582/data.2023-02.2733095/2298119
title: Data for EMSL Project 51287 from February 2023
DOI: 10.6084/m9.figshare.6468326
title: Supplemental Table 2. Lipid levels and the prevalence of specific abnormal lipid profiles by FMI and FMP categories

description: For FMI or FMP categories, significant differences of lipid profiles were also observed between youth with and
without excess fat (<i>P </i>&lt; 0.01).
DOI: 10.25582/data.2023-01.2711101/2298120
title: Data for EMSL Project 51287 from January 2023