cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6554018.v1
title: Additional file 6: of Genomic and transcriptomic sequencing of Rosa hybrida provides microsatellite markers for breeding, flower trait improvement and taxonomy studies

description: A total of 3245 genome SSR primer pairs and 33 of the EST were identified as gene-targeted makers, according to the floral transcriptome. The sequences of these primer pairs are listed in Additional file 6, as well as the relevant genes and their functions. (XLSX 46Â kb)
DOI: 10.6084/m9.figshare.19661221
title: Prognostic impact of PRDM16 expression in acute myeloid leukemia with normal cytogenetics

description: Cytogenetically normal acute myeloid leukemia (CN-AML) is a heterogeneous disease with variable clinical outcomes. The identification of potential biomarkers to better classify the patients with unfavorable prognoses who may require more aggressive therapies is an emergent demand. PRDM16 is a transcriptional cofactor and histone methyltransferase, playing a critical role in maintaining hematopoietic stem cells, and MLL fusion-induced leukemogenesis. However, the prognostic value of PRDM16 in CN-AML is still unclear. We retrospectively analyzed the PRDM16 expression and its association with gene mutations in CN-AML. Then the prognostic value of PRDM16 and its comparison with WT1 were analyzed. The results showed that about 73.6% of CN-AML patients harbored higher expression of PRDM16 than the healthy controls. Furthermore, CN-AML patients with high PRDM16 expression had a lower survival rate than the low PRDM16 expression group (50.5% vs. 83.3%, <i>p </i>= 0.0339). Interestingly, hemopoietic stem cell transplantation significantly improved the prognosis of CN-AML with high PRDM16 expression but not those with low PRDM16 expression. In terms of molecular genetics, high PRDM16 expression was significantly associated with a lower rate of CEBPA mutation (<i>p </i>= 0.01) and a higher rate of FLT3-ITD and DNMT3A mutation (<i>p </i>= 0.032 and <i>p </i>= 0.004, respectively). In addition, PRDM16 expression was significantly correlated with WT1 expression in CN-AML (<i>r</i> = 0.7, <i>p </i>&lt; 0.001). These data suggested PRDM16 expression could be used to predict the outcome of patients with CN-AML. PRDM16 is significantly associated with FLT3-ITD and DNMT3A mutation and WT1 expression and serves as a potential prognostic biomarker in CN-AML.
DOI: 10.6084/m9.figshare.19661221.v1
title: Prognostic impact of PRDM16 expression in acute myeloid leukemia with normal cytogenetics

description: Cytogenetically normal acute myeloid leukemia (CN-AML) is a heterogeneous disease with variable clinical outcomes. The identification of potential biomarkers to better classify the patients with unfavorable prognoses who may require more aggressive therapies is an emergent demand. PRDM16 is a transcriptional cofactor and histone methyltransferase, playing a critical role in maintaining hematopoietic stem cells, and MLL fusion-induced leukemogenesis. However, the prognostic value of PRDM16 in CN-AML is still unclear. We retrospectively analyzed the PRDM16 expression and its association with gene mutations in CN-AML. Then the prognostic value of PRDM16 and its comparison with WT1 were analyzed. The results showed that about 73.6% of CN-AML patients harbored higher expression of PRDM16 than the healthy controls. Furthermore, CN-AML patients with high PRDM16 expression had a lower survival rate than the low PRDM16 expression group (50.5% vs. 83.3%, <i>p </i>= 0.0339). Interestingly, hemopoietic stem cell transplantation significantly improved the prognosis of CN-AML with high PRDM16 expression but not those with low PRDM16 expression. In terms of molecular genetics, high PRDM16 expression was significantly associated with a lower rate of CEBPA mutation (<i>p </i>= 0.01) and a higher rate of FLT3-ITD and DNMT3A mutation (<i>p </i>= 0.032 and <i>p </i>= 0.004, respectively). In addition, PRDM16 expression was significantly correlated with WT1 expression in CN-AML (<i>r</i> = 0.7, <i>p </i>&lt; 0.001). These data suggested PRDM16 expression could be used to predict the outcome of patients with CN-AML. PRDM16 is significantly associated with FLT3-ITD and DNMT3A mutation and WT1 expression and serves as a potential prognostic biomarker in CN-AML.
DOI: 10.6084/m9.figshare.6554036
title: Additional file 7: of Genomic and transcriptomic sequencing of Rosa hybrida provides microsatellite markers for breeding, flower trait improvement and taxonomy studies

description: A total of 37 randomly selected PCR pairs that were engaged in laboratory PCR are listed in Additional file 7. (XLSX 199Â kb)
DOI: 10.6084/m9.figshare.6554036.v1
title: Additional file 7: of Genomic and transcriptomic sequencing of Rosa hybrida provides microsatellite markers for breeding, flower trait improvement and taxonomy studies

description: A total of 37 randomly selected PCR pairs that were engaged in laboratory PCR are listed in Additional file 7. (XLSX 199Â kb)
DOI: 10.6084/m9.figshare.6554054
title: Additional file 1: of Time series model for forecasting the number of new admission inpatients

description: Original data. The table showed the original data including the number of daily (1/4/2016â 2/10/2016) and monthly (1/2010â 10/2016) new admission inpatients. (XLS 33 kb)
DOI: 10.6084/m9.figshare.6554054.v1
title: Additional file 1: of Time series model for forecasting the number of new admission inpatients

description: Original data. The table showed the original data including the number of daily (1/4/2016â 2/10/2016) and monthly (1/2010â 10/2016) new admission inpatients. (XLS 33 kb)
DOI: 10.6084/m9.figshare.6554057
title: Additional file 8: of Genomic and transcriptomic sequencing of Rosa hybrida provides microsatellite markers for breeding, flower trait improvement and taxonomy studies

description: The genetic distance data base on the laboratory PCR are shown in Additional file 8. (XLSX 27Â kb)
DOI: 10.6084/m9.figshare.6554057.v1
title: Additional file 8: of Genomic and transcriptomic sequencing of Rosa hybrida provides microsatellite markers for breeding, flower trait improvement and taxonomy studies

description: The genetic distance data base on the laboratory PCR are shown in Additional file 8. (XLSX 27Â kb)
DOI: 10.6084/m9.figshare.9699785
title: Enhancing the expression of recombinant κ-carrageenase in <i>Pichia pastoris</i> using dual promoters, co-expressing chaperones and transcription factors

description: In this study, with the aid of a constitutive promoter, and the co-expression of chaperone and transcription factor (TF) genes, the expression and enzymatic activity of recombinant κ-carrageenase in <i>Pichia pastoris</i> containing truncated κ-carrageenase gene <i>cgkZΔPst</i> (GS115/pPIC9K-<i>cgkZΔPst</i>) was enhanced. The recombinant <i>P. pastoris</i> strain containing constitutive glyceraldehyde-3-phosphate dehydrogenase (GAP) promoter enabled the expression of recombinant κ-carrageenase without methanol induction, the enzymatic activity was 2.73 U/mL after 96 h of shake flask fermentation at 22 °C. The enzymatic activity increased to 7.96 U/mL under methanol induction during <i>P. pastoris</i> growth, showing a 1.4-fold increase compared to that of the control group. With the co-expression of a series of chaperone genes and TFs that could promote protein folding, prevent protein aggregation, and counteract oxidative stress, the expression level of <i>cgkZΔPst</i> showed a 1.29- to 1.93-fold increase from that in the control group. The enzymatic activity of the recombinant κ-carrageenase increased to 7.07–7.70 U/mL. The use of the inducible P<i><sub>AOX1</sub></i> in combination with the constitutive P<i><sub>GAP</sub></i> can further improve the productivity of recombinant κ-carrageenase. The rational selection of molecular chaperones and TFs can also promote recombinant κ-carrageenase secretion in <i>P. pastoris</i>. This work can be useful for the heterologous expression of other marine-origin glycoside hydrolases in <i>P. pastoris</i>.
DOI: 10.6084/m9.figshare.9699785.v1
title: Enhancing the expression of recombinant κ-carrageenase in <i>Pichia pastoris</i> using dual promoters, co-expressing chaperones and transcription factors

description: In this study, with the aid of a constitutive promoter, and the co-expression of chaperone and transcription factor (TF) genes, the expression and enzymatic activity of recombinant κ-carrageenase in <i>Pichia pastoris</i> containing truncated κ-carrageenase gene <i>cgkZΔPst</i> (GS115/pPIC9K-<i>cgkZΔPst</i>) was enhanced. The recombinant <i>P. pastoris</i> strain containing constitutive glyceraldehyde-3-phosphate dehydrogenase (GAP) promoter enabled the expression of recombinant κ-carrageenase without methanol induction, the enzymatic activity was 2.73 U/mL after 96 h of shake flask fermentation at 22 °C. The enzymatic activity increased to 7.96 U/mL under methanol induction during <i>P. pastoris</i> growth, showing a 1.4-fold increase compared to that of the control group. With the co-expression of a series of chaperone genes and TFs that could promote protein folding, prevent protein aggregation, and counteract oxidative stress, the expression level of <i>cgkZΔPst</i> showed a 1.29- to 1.93-fold increase from that in the control group. The enzymatic activity of the recombinant κ-carrageenase increased to 7.07–7.70 U/mL. The use of the inducible P<i><sub>AOX1</sub></i> in combination with the constitutive P<i><sub>GAP</sub></i> can further improve the productivity of recombinant κ-carrageenase. The rational selection of molecular chaperones and TFs can also promote recombinant κ-carrageenase secretion in <i>P. pastoris</i>. This work can be useful for the heterologous expression of other marine-origin glycoside hydrolases in <i>P. pastoris</i>.
DOI: 10.6084/m9.figshare.6554066
title: Additional file 2: of Time series model for forecasting the number of new admission inpatients

description: Predicted values. The table showed the predicted monthly and daily new admission inpatients from three models. (XLS 54 kb)
DOI: 10.6084/m9.figshare.6554066.v1
title: Additional file 2: of Time series model for forecasting the number of new admission inpatients

description: Predicted values. The table showed the predicted monthly and daily new admission inpatients from three models. (XLS 54 kb)
DOI: 10.6084/m9.figshare.6554075
title: Additional file 1: of A rare CHD5 haplotype and its interactions with environmental factors predicting hepatocellular carcinoma risk

description: Table S1. A case-control study in the discovery study with targeted NGS. (XLS 37 kb)
DOI: 10.6084/m9.figshare.6554075.v1
title: Additional file 1: of A rare CHD5 haplotype and its interactions with environmental factors predicting hepatocellular carcinoma risk

description: Table S1. A case-control study in the discovery study with targeted NGS. (XLS 37 kb)
DOI: 10.6084/m9.figshare.14418339
title: Additional file 2 of CircPTPRA blocks the recognition of RNA N6-methyladenosine through interacting with IGF2BP1 to suppress bladder cancer progression

description: Additional file 2: Table S1. Clinicopathological features of 64 BC patients and the expression of IGF2BP1 and circPTPRA. Table S2. Detailed information of primers and RNA sequences used in this study. Table S3. The differentially expressed protein-coding genes in EJ and T24T cell lines upon circPTPRA overexpression. Table S4. The differentially immunoprecipitated transcripts that interacted with IGF2BP1 in T24T cells upon ectopic expression of circPTPRA.
DOI: 10.6084/m9.figshare.14418339.v1
title: Additional file 2 of CircPTPRA blocks the recognition of RNA N6-methyladenosine through interacting with IGF2BP1 to suppress bladder cancer progression

description: Additional file 2: Table S1. Clinicopathological features of 64 BC patients and the expression of IGF2BP1 and circPTPRA. Table S2. Detailed information of primers and RNA sequences used in this study. Table S3. The differentially expressed protein-coding genes in EJ and T24T cell lines upon circPTPRA overexpression. Table S4. The differentially immunoprecipitated transcripts that interacted with IGF2BP1 in T24T cells upon ectopic expression of circPTPRA.
DOI: 10.6084/m9.figshare.6554144
title: Additional file 2: of MALBAC-based chromosomal imbalance analysis: a novel technique enabling effective non-invasive diagnosis and monitoring of bladder cancer

description: The demographic and clinical characteristics of training group. Table S1. The demographic and clinical characteristics of bladder cancer (BC) patients of training group. The originally reported cytology classification included negative (â ), suspicious (+â ) and positive (+). Table S2. The demographic and clinical characteristics of non-malignant urinary disease (UD) patients of training group. Table S3. The demographic characteristics of healthy controls of training group (XLSX 27 kb).
DOI: 10.6084/m9.figshare.6554144.v1
title: Additional file 2: of MALBAC-based chromosomal imbalance analysis: a novel technique enabling effective non-invasive diagnosis and monitoring of bladder cancer

description: The demographic and clinical characteristics of training group. Table S1. The demographic and clinical characteristics of bladder cancer (BC) patients of training group. The originally reported cytology classification included negative (â ), suspicious (+â ) and positive (+). Table S2. The demographic and clinical characteristics of non-malignant urinary disease (UD) patients of training group. Table S3. The demographic characteristics of healthy controls of training group (XLSX 27 kb).
DOI: 10.6084/m9.figshare.12845577.v1
title: Additional file 2 of A population-based gene expression signature of molecular clock phase from a single epidermal sample

description: Additional file 2: Table S3. Melatonin and cortisol phases predicted by MetaCycle.
DOI: 10.6084/m9.figshare.12845583
title: Additional file 4 of A population-based gene expression signature of molecular clock phase from a single epidermal sample

description: Additional file 4: Table S5. Seed gene lists used for CYCLOPS ordering.
DOI: 10.6084/m9.figshare.12845583.v1
title: Additional file 4 of A population-based gene expression signature of molecular clock phase from a single epidermal sample

description: Additional file 4: Table S5. Seed gene lists used for CYCLOPS ordering.
DOI: 10.6084/m9.figshare.12845586.v1
title: Additional file 5 of A population-based gene expression signature of molecular clock phase from a single epidermal sample

description: Additional file 5: Table S6. The pairwise correlation matrix of 17 mouse clock and clock-associated genes.
DOI: 10.6084/m9.figshare.12845577
title: Additional file 2 of A population-based gene expression signature of molecular clock phase from a single epidermal sample

description: Additional file 2: Table S3. Melatonin and cortisol phases predicted by MetaCycle.
DOI: 10.6084/m9.figshare.12845580
title: Additional file 3 of A population-based gene expression signature of molecular clock phase from a single epidermal sample

description: Additional file 3: Table S4. The benchmark correlation matrix of 298 previously ordered human epidermis samples.
DOI: 10.6084/m9.figshare.12845580.v1
title: Additional file 3 of A population-based gene expression signature of molecular clock phase from a single epidermal sample

description: Additional file 3: Table S4. The benchmark correlation matrix of 298 previously ordered human epidermis samples.
DOI: 10.6084/m9.figshare.12845586
title: Additional file 5 of A population-based gene expression signature of molecular clock phase from a single epidermal sample

description: Additional file 5: Table S6. The pairwise correlation matrix of 17 mouse clock and clock-associated genes.
DOI: 10.6084/m9.figshare.12845589
title: Additional file 6 of A population-based gene expression signature of molecular clock phase from a single epidermal sample

description: Additional file 6: Table S7. Circadian genes identified from human epidermis and dermis.
DOI: 10.6084/m9.figshare.12845589.v1
title: Additional file 6 of A population-based gene expression signature of molecular clock phase from a single epidermal sample

description: Additional file 6: Table S7. Circadian genes identified from human epidermis and dermis.
DOI: 10.6084/m9.figshare.14418392.v1
title: Additional file 1 of Identification of key regulators responsible for dysregulated networks in osteoarthritis by large-scale expression analysis

description: Additional file 1: Sup.table 1: Differentially expressed genes (DEGs) between OA and normal.
DOI: 10.6084/m9.figshare.12845697
title: Additional file 2 of Investigation of a nonsense mutation located in the complex KIV-2 copy number variation region of apolipoprotein(a) in 10,910 individuals

description: Additional file 2. Contains the rs41272114 genotypes and R21X carrier status for all 2504 individuals of the 1000 Genomes phase 3 v5 data at various sequencing coverage limits.
DOI: 10.6084/m9.figshare.12845697.v1
title: Additional file 2 of Investigation of a nonsense mutation located in the complex KIV-2 copy number variation region of apolipoprotein(a) in 10,910 individuals

description: Additional file 2. Contains the rs41272114 genotypes and R21X carrier status for all 2504 individuals of the 1000 Genomes phase 3 v5 data at various sequencing coverage limits.
DOI: 10.6084/m9.figshare.14418395
title: Additional file 2 of Identification of key regulators responsible for dysregulated networks in osteoarthritis by large-scale expression analysis

description: Additional file 2: Sup.table 2: RP scores of public ChIP-seq data of JUN.
DOI: 10.6084/m9.figshare.14418398
title: Additional file 3 of Identification of key regulators responsible for dysregulated networks in osteoarthritis by large-scale expression analysis

description: Additional file 3: Sup.table 3: Putative targets of JUN.
DOI: 10.6084/m9.figshare.11272844
title: MOESM1 of High-density linkage map construction and QTL analyses for fiber quality, yield and morphological traits using CottonSNP63K array in upland cotton (Gossypium hirsutum L.)

description: Additional file 1: Table S1. QTLs of fiber quality, yield and morphological traits identified in the RIL population.
DOI: 10.6084/m9.figshare.14418392
title: Additional file 1 of Identification of key regulators responsible for dysregulated networks in osteoarthritis by large-scale expression analysis

description: Additional file 1: Sup.table 1: Differentially expressed genes (DEGs) between OA and normal.
DOI: 10.13145/bacdive1192.20201210.5
title: Bacillus spizizenii (Nakamura et al. 1999) Dunlap et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive1193.20201210.5
title: Bacillus spizizenii (Nakamura et al. 1999) Dunlap et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive1194.20201210.5
title: Robertmurraya siralis (Pettersson et al. 2000) Gupta et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive1195.20201210.5
title: Bacillus thermoamylovorans Combet-Blanc et al. 1995 emend. Coorevits et al. 2011

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive1196.20201210.5
title: Bacillus thermoamylovorans Combet-Blanc et al. 1995 emend. Coorevits et al. 2011

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive1197.20201210.5
title: Bacillus thermoamylovorans Combet-Blanc et al. 1995 emend. Coorevits et al. 2011

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive1198.20201210.5
title: Bacillus thermoterrestis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive1199.20201210.5
title: Alkalihalobacillus okuhidensis (Li et al. 2002) Patel and Gupta 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive1200.20201210.5
title: Alkalihalobacillus okuhidensis (Li et al. 2002) Patel and Gupta 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive1201.20201210.5
title: Bacillus sonorensis Palmisano et al. 2001

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive1202.20201210.5
title: Bacillus sonorensis Palmisano et al. 2001

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive1203.20201210.5
title: Priestia endophytica (Reva et al. 2002) Gupta et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive1204.20201210.5
title: Mesobacillus subterraneus (Kanso et al. 2002) Patel and Gupta 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive1205.20201210.5
title: Fictibacillus barbaricus (Täubel et al. 2003) Glaeser et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive1206.20201210.5
title: Fictibacillus barbaricus (Täubel et al. 2003) Glaeser et al. 2013

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive1207.20201210.5
title: Bacillus acidicola Albert et al. 2005

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive1208.20201210.5
title: Alkalihalobacillus decolorationis (Heyrman et al. 2003) Patel and Gupta 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive1209.20201210.5
title: Niallia nealsonii (Venkateswaran et al. 2003) Gupta et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive1210.20201210.5
title: Ectobacillus funiculus (Ajithkumar et al. 2002) Gupta et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive1211.20201210.5
title: Salisediminibacterium selenitireducens (Switzer Blum et al. 2001) Gupta et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive1212.20201210.5
title: Lederbergia galactosidilytica (Heyndrickx et al. 2004) Gupta et al. 2020

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.