10,066 Works

Additional file 1: Figure S1. of Silibinin induces mitochondrial NOX4-mediated endoplasmic reticulum stress response and its subsequent apoptosis

Sang-Hun Kim, Kwang-Youn Kim, Sun-Nyoung Yu, Young-Kyo Seo, Sung-Sik Chun, Hak-Sun Yu & Soon-Cheol Ahn
Silibinin reduced cell viability and stimulated ROS production in human prostate cancer PC-3 cells. (A) PC-3 cells were incubated with silibinin for indicated concentrations and times. Cell viability was determined by MTT assay as described in Materials and Methods. (B) PC-3 cells were treated with 150 μM silibinin for 3 h with the presence or absence of 0.5 μM DPI, 5 mM NAC, 10 μM Tempol and 100 U/ml CAT and ROS production was determined...

Citation Impact Tool: Visualizing Percentile Rank of Times Cited

Michael Bales
Presentation by Michael Bales at VIVO16 Conference in Denver, Colorado.

Additional file 1: Figure S1. of Oral microbial community typing of caries and pigment in primary dentition

Yanhui Li, Cheng-Gang Zou, Yu Fu, Yanhong Li, Qing Zhou, Bo Liu, Zhigang Zhang & Juan Liu
Three typical cases from 40 patients with black-stained plaques. Y.HG.L., a specialist in pediatric dentistry, took responsibility for the black stain diagnosis and specimen collection. The clinical characteristics of all black-stained plaques as presented by three cases were softness and difficulty in removal. Supragingival black-stained plaque samples (including both the outside edge and the middle) from each patient with a typical black stain were pooled together for bacterial community analysis. (PPT 1583 kb)

Medical Research and Disease Burden. A Method for Classifying Publications According to the Health Research Classification System (HRCS) [NWB'2016 presentation slides]

Dag Aksnes
The Health Research Classification System (HRCS) is a system for classifying biomedical and health research which was developed by the UK Clinical Research Collaboration. The main purpose of the system is to provide an overview of health research funding. The research is classified according to a two dimensional framework. One dimension is used to classify the type of health or disease being studied. There are 21 categories encompassing various diseases and areas of health.
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Medical research and disease burden. A method for classifying publications according to the Health Research Classification System (HRCS) [NWB'2016 presentation slides]

Dag Aksnes
The Health Research Classification System (HRCS) is a system for classifying biomedical and health research which was developed by the UK Clinical Research Collaboration. The main purpose of the system is to provide an overview of health research funding. The research is classified according to a two dimensional framework. One dimension is used to classify the type of health or disease being studied. There are 21 categories encompassing various diseases and areas of health.
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Additional file 7: of Excessive proliferation and impaired function of primitive hematopoietic cells in bone marrow due to senescence post chemotherapy in a T cell acute lymphoblastic leukemia model

Chuanhe Jiang, Xiaoxia Hu, Libing Wang, Hui Cheng, Yan Lin, Yakun Pang, Weiping Yuan, Tao Cheng & Jianmin Wang
Kinetics of HSPCs and leukemic cells involved in the four-day treated leukemic group. When leukemic cells reached 1-5% in PB, mice received four consecutive days of treatment, composed of 150 mg/kg Ara-C plus 100 mg/kg CTX daily. Then changes of leukemic cells and primitive hematopoietic cell fractions were tested. (A) Leukemic burden in the BM was continuously undetectable within 40 days post therapy (n = 5). (B) Bone marrow cellularity showed a gradual recovery post...

Additional file 2: of Excessive proliferation and impaired function of primitive hematopoietic cells in bone marrow due to senescence post chemotherapy in a T cell acute lymphoblastic leukemia model

Chuanhe Jiang, Xiaoxia Hu, Libing Wang, Hui Cheng, Yan Lin, Yakun Pang, Weiping Yuan, Tao Cheng & Jianmin Wang
Course-dependent chemotherapy response of the T-ALL mice. When leukemic cells reached 1-5% in PB, mice received chemotherapy composed of CTX (100 mg/kg) and Ara-C (150 mg/kg) for a consecutive 1, 2, 3 and 4 days, respectively. (A) Median survival days post leukemic cell injection were 29, 39.5, 45 and 71.5 for the leukemia-only, one-day treated, two-day treated and three-day treated group, respectively (n = 6-10). For the four-day treated group, no mice died within the...

Additional file 8: of Excessive proliferation and impaired function of primitive hematopoietic cells in bone marrow due to senescence post chemotherapy in a T cell acute lymphoblastic leukemia model

Chuanhe Jiang, Xiaoxia Hu, Libing Wang, Hui Cheng, Yan Lin, Yakun Pang, Weiping Yuan, Tao Cheng & Jianmin Wang
Kinetics of HSPCs involved in the drug-only group. Normal C57/BL6J mice were given one-day therapy, composed of 150 mg/kg Ara-C plus 100mg/kg CTX. Then changes of primitive hematopoietic cell fractions were tested. (A) Frequencies of CD45.2+LK+S+ and CD45.2+LK+S− cells in the BM CD45.2+ hematopoietic cell fractions of normal control and the drug-only group mice on different days post therapy (n = 3-5). (B) Frequencies of LT-HSC, ST-HSC and MPP in the BM CD45.2+LK+S+ hematopoietic cell...

Additional file 5: of Excessive proliferation and impaired function of primitive hematopoietic cells in bone marrow due to senescence post chemotherapy in a T cell acute lymphoblastic leukemia model

Chuanhe Jiang, Xiaoxia Hu, Libing Wang, Hui Cheng, Yan Lin, Yakun Pang, Weiping Yuan, Tao Cheng & Jianmin Wang
Results of the in vitro colony-forming cell assays in the one-day treated leukemic mice. CD45.2+ hematopoietic cells in the BM of the one-day treated leukemic mice were sorted for in vitro colony-forming cell assays on different days post therapy. CD45.2+ hematopoietic cells in the BM of leukemia-only mice were used as control. (Aâ D) Results of the CFC assays (n = 4-5). Data showed similar changing trend of hematopoietic progenitors and the same granulocyte shift...

Additional file 6: of Excessive proliferation and impaired function of primitive hematopoietic cells in bone marrow due to senescence post chemotherapy in a T cell acute lymphoblastic leukemia model

Chuanhe Jiang, Xiaoxia Hu, Libing Wang, Hui Cheng, Yan Lin, Yakun Pang, Weiping Yuan, Tao Cheng & Jianmin Wang
Kinetics of HSPCs and leukemic cells involved in the lower-dose treated leukemic mice. When leukemic cells reached 1-5% in PB, mice received one-day of lower-dose therapy, composed of 75 mg/kg Ara-C plus 50mg/kg CTX. Then changes of leukemic cells and primitive hematopoietic cell fractions were tested. (A) Frequencies of leukemic cells in whole MNCs and CD45.2+LK+S−, CD45.2+LKS+ cells in CD45.2+ hematopoietic cell fractions in the BM of the lower-dose treated leukemic mice (n = 3-4)....

Additional file 4: of Excessive proliferation and impaired function of primitive hematopoietic cells in bone marrow due to senescence post chemotherapy in a T cell acute lymphoblastic leukemia model

Chuanhe Jiang, Xiaoxia Hu, Libing Wang, Hui Cheng, Yan Lin, Yakun Pang, Weiping Yuan, Tao Cheng & Jianmin Wang
Kinetics of HSPCs and leukemic cells involved in the one-day treated leukemic group. (A) Frequencies of leukemic cells in whole MNCs and CD45.2+LK+S+ and CD45.2+LK+Sâ cells in CD45.2+ hematopoietic cell fractions in the BM of the one-day treated leukemic mice (n = 3-4). (B) Total numbers of leukemic cells, CD45.2+LK+S+ and CD45.2+LK+Sâ cells in BM (double hindlimbs) of the one-day treated leukemic mice (n = 3-4). (C) Statistic analysis of sub-populations of CD45.2+ hematopoietic cell...

Additional file 3: of Excessive proliferation and impaired function of primitive hematopoietic cells in bone marrow due to senescence post chemotherapy in a T cell acute lymphoblastic leukemia model

Chuanhe Jiang, Xiaoxia Hu, Libing Wang, Hui Cheng, Yan Lin, Yakun Pang, Weiping Yuan, Tao Cheng & Jianmin Wang
Histopathology of the one-day treated leukemic mice. Mice of the one-day treated leukemic group were sacrificed at different time points post therapy for histopathological analysis. Tissues were gained right after sacrifice, fixed in 10% formalin overnight, stained by hematoxylin-eosin (H&E) and examined by an inverted microscopy. (A) Status of leukemic infiltration and normal hematopoiesis in spleen post chemotherapy. (B) Status of leukemic infiltration and normal hematopoiesis in bone marrow post therapy.

Additional file 1: of Excessive proliferation and impaired function of primitive hematopoietic cells in bone marrow due to senescence post chemotherapy in a T cell acute lymphoblastic leukemia model

Chuanhe Jiang, Xiaoxia Hu, Libing Wang, Hui Cheng, Yan Lin, Yakun Pang, Weiping Yuan, Tao Cheng & Jianmin Wang
Primer sequences. Sequences of all the primers used in qRT-PCR.

Additional file 11: Figure S5. of Time-resolved pathogenic gene expression analysis of the plant pathogen Xanthomonas oryzae pv. oryzae

Seunghwan Kim, Yong-Joon Cho, Eun-Sung Song, Sang Lee, Jeong-Gu Kim & Lin-Woo Kang
Time-resolved expression of EAL-GGDEF and HD-GYP containing genes. The unit of time is min. Red lines indicate expression levels of genes in control (untreated) Xoo cells. Y-axis represents fold-change. (PPTX 70Â kb)

Additional file 12: Figure S6. of Time-resolved pathogenic gene expression analysis of the plant pathogen Xanthomonas oryzae pv. oryzae

Seunghwan Kim, Yong-Joon Cho, Eun-Sung Song, Sang Lee, Jeong-Gu Kim & Lin-Woo Kang
Time-resolved expression of gumHâ gumM genes. The unit of time is min. Red lines indicate expression levels of genes in control (untreated) Xoo cells. Y-axis represents fold-change. (PPTX 51Â kb)

Additional file 14: Figure S7. of Time-resolved pathogenic gene expression analysis of the plant pathogen Xanthomonas oryzae pv. oryzae

Seunghwan Kim, Yong-Joon Cho, Eun-Sung Song, Sang Lee, Jeong-Gu Kim & Lin-Woo Kang
Time-resolved expression of T2SS substrate genes. (A) Genes like htrA, egl (Xoo0281), celS and xynB were upregulated. (B) Genes like egl (Xoo0282), Xoo1077, engXCA and Xoo4035 were downregulated. egl (Xoo0283) was downregulated within 10 min and upregulated subsequently. The unit of time is min. Red lines indicate the expression levels of genes in control (untreated) Xoo cells. Y-axis represents fold-change. (PPTX 59 kb)

Additional file 8: Figure S3. of Time-resolved pathogenic gene expression analysis of the plant pathogen Xanthomonas oryzae pv. oryzae

Seunghwan Kim, Yong-Joon Cho, Eun-Sung Song, Sang Lee, Jeong-Gu Kim & Lin-Woo Kang
Time-resolved expression of genes related to iron-uptake. (A) Among tonB genes, Xoo2114 was upregulated 6-fold. (B) Upregulated TonB-dependent receptor genes; fecA (Xoo0901) and cirA (Xoo3793) were upregulated 80- and 20-fold, respectively. (C) Downregulated TonB-dependent receptor genes; iroN (Xoo0394), fyuA (Xoo1099), iroN (Xoo1784) and cirA (Xoo4431) were downregulated 50-, 5-, 5- and 4-fold, respectively. (D) tolR (Xoo1666, exbD-like) was upregulated 2.5-fold. The unit of time is min. Red lines indicate the expression levels of genes in...

Additional file 7: Figure S5. of Exploration of hydroxymethylation in Kagami-Ogata syndrome caused by hypermethylation of imprinting control regions

Keiko Matsubara, Masayo Kagami, Kazuhiko Nakabayashi, Kenichiro Hata, Maki Fukami, Tsutomu Ogata & Kazuki Yamazawa
Gel electropherograms showing appropriate digestion pattern of spike-in controls. (PPB 3.31 mb)

Additional file 6: of CDH1 and IL1-beta expression dictates FAK and MAPKK-dependent cross-talk between cancer cells and human mesenchymal stem cells

Mashael Al-Toub, Radhakrishnan Vishnubalaji, Rimi Hamam, Moustapha Kassem, Abdullah Aldahmash & Nehad Alajez
Is Movie S1 showing time-lapse microscopy of MCF7 cells ( red ) co-cultured with hMSCs ( green ). Images were taken every 30Â minutes using NikonÂŽ BioStation IM-Q. (AVI 752 kb)

Examining Federal Expert Networking and the Economies of Scale: Moving the “HHS Profiles” Pilot Towards “Experts.gov”

James King, Jessica N. Berrellez, Lissa N. Snyders & Claire Valdivia Back
Presentation at VIVO 2016, Denver, CO

Examining Federal Expert Networking and the Economies of Scale: Moving the “HHS Profiles” Pilot Towards “Experts.gov”

James King, Jessica N. Berrellez, Lissa N. Snyders & Claire Valdivia Back
Presentation at VIVO 2016, Denver, CO

Using VIVO for Scientific Applications at Earthcollab

Matt Mayernick
Presented at VIVO 2016, Denver, CO

Using VIVO for Scientific Applications at Earthcollab

Matt Mayernick
Presented at VIVO 2016, Denver, CO

Towards Deeper RNS Engagement: How to get users to sign in for personalized content

Brian Turner
Presented at VIVO 2016, Denver, CO

Towards Deeper RNS Engagement: How to get users to sign in for personalized content

Brian Turner
Presented at VIVO 2016, Denver, CO

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