Additional file 1: of Hyperglycemia affects global 5-methylcytosine and 5-hydroxymethylcytosine in blood genomic DNA through upregulation of SIRT6 and TETs

Er-Feng Yuan (6590684)
Ying Yang (24175)
Lin Cheng (107461)
Xujing Deng (6590687)
Shao-Min Chen (6590690)
Xin Zhou (54275)
Song-Mei Liu (278770)

Publication date

April 2019

DOI

10.6084/m9.figshare.7997033.v1

Abstract

Figure S1. The comparison of white blood cells (WBC), neutrophil (NEUT), lymphocyte (LYMPH) and monocyte (MONO) in T2DM patients and controls. Data are expressed as the means Âą SD. Table S1. Correlations between glucose and biochemical parameters. Table S2. Primers used for qPCR.Â (DOCX 64 kb

Extracted data

We use cookies to provide a better user experience.

Data Protection

Additional file 1: of Hyperglycemia affects global 5-methylcytosine and 5-hydroxymethylcytosine in blood genomic DNA through upregulation of SIRT6 and TETs

Er-Feng Yuan (6590684)
Ying Yang (24175)
Lin Cheng (107461)
Xujing Deng (6590687)
Shao-Min Chen (6590690)
Xin Zhou (54275)
Song-Mei Liu (278770)

Open link

Publication date

April 2019

DOI

10.6084/m9.figshare.7997033.v1

Abstract

Extracted data

Can-Ze Huang (3827875)
Ji-Hao Xu (3827872)
Wa Zhong (418929)
Zhong-Sheng Xia (764499)
Si-Yi Wang (209728)
Di Cheng (1693459)
Jie-Yao Li (418926)
Ting-Feng Wu (455437)
Qi-Kui Chen (418930)
Tao Yu (176965)

March 2017

Quality assessment of raw data for promoter methylation analysis. (a) MA plot showing the distributi...

Additional file 2: Figure S1. of Comprehensive genomic analysis identifies pathogenic variants in maturity-onset diabetes of the young (MODY) patients in South India

Viswanathan Mohan (239503)
Venkatesan Radha (4624417)
Thong Nguyen (1893943)
Eric Stawiski (256718)
Kanika Pahuja (4234612)
Leonard Goldstein (3455636)
Jennifer Tom (4269544)
Ranjit Anjana (3474065)
Monica Kong-Beltran (4851871)
Tushar Bhangale (269603)
Suresh Jahnavi (4851868)
Radhakrishnan Chandni (4851862)
Vijay Gayathri (4851880)
Paul George (4851874)
Na Zhang (333280)
Sakthivel Murugan (4851856)
Sameer Phalke (4851865)
Subhra Chaudhuri (4851859)
Ravi Gupta (208247)
Jingli Zhang (231460)
Sam Santhosh (4851877)
Jeremy Stinson (279794)
Zora Modrusan (37892)
V. Ramprasad (4851883)
Somasekar Seshagiri (83458)
Andrew Peterson (1987636)

February 2018

Box plot showing (a) fasting plasma glucose, (b) fasting insulin, (c) C-peptide fasting, (d) C-pepti...

Additional file 2: of Investigation of the influence of high glucose on molecular and genetic responses: an in vitro study using a human intestine model

Tugce Boztepe (5156204)
Sukru Gulec (420155)

April 2018

Table S2. The list of the significantly downregulated genes under high glucose treatment condition (...

Additional file 1: of Identification of dynamic glucocorticoid-induced methylation changes at the FKBP5 locus

Tobias Wiechmann (5483243)
Simone Röh (434023)
Susann Sauer (5483240)
Darina Czamara (107824)
Janine Arloth (434022)
Maik Ködel (5483249)
Madita Beintner (6731327)
Lisanne Knop (6731330)
Andreas Menke (418090)
Elisabeth Binder (3448661)
Nadine Provençal (318748)

May 2019

Figure S1. Change in blood cell counts after DEX administration. A) Actual blood cell counts at base...

Additional file 1: of Exploring the genetic basis of human population differences in DNA methylation and their causal impact on immune gene regulation

Lucas Husquin (5864030)
Maxime Rotival (133720)
Maud Fagny (3470801)
Hélène Quach (262024)
Nora Zidane (85964)
Lisa McEwen (3968174)
Julia MacIsaac (3575030)
Michael Kobor (3470795)
Hugues Aschard (110171)
Etienne Patin (107311)
Lluis Quintana-Murci (3320199)

December 2018

Figure S1. Overview of the EvoImmunoPop experimental setting. Figure S2. Exploring the non-linear ef...

Additional file 1: of ZBTB12 DNA methylation is associated with coagulation- and inflammation-related blood cell parameters: findings from the Moli-family cohort

Fabrizia Noro (6691304)
Francesco Gianfagna (440763)
Alessandro Gialluisi (3413885)
Amalia Curtis (6691307)
Augusto Castelnuovo (6691310)
Emanuela Napoleone (6691313)
Chiara Cerletti (285583)
Maria Donati (6691316)
Giovanni Gaetano (6691319)
Marc Hoylaerts (187742)
Licia Iacoviello (285585)
Benedetta Izzi (160858)

May 2019

Putative transcription factor (TF) binding analysis of the blood cell count specific CpG units. Tran...

Additional file 1: of Low HLA binding of diabetes-associated CD8+ T-cell epitopes is increased by post translational modifications

John Sidney (19127)
Jose Vela (4991450)
Dave Friedrich (4991441)
Ravi Kolla (4991444)
Matthias von Herrath (233466)
Johnna Wesley (4991447)
Alessandro Sette (19132)

March 2018

Diabetes-associated proteins. Table (Word; .docx) listing antigens associated with T1D, pre-diabetes...

Additional file 1: of Dietary and genetic risk scores and incidence of type 2 diabetes

Ulrika Ericson (156578)
George Hindy (512699)
Isabel Drake (115126)
Christina-Alexandra Schulz (727982)
Louise Brunkwall (5145233)
Sophie Hellstrand (727981)
Peter Almgren (11999)
Marju Orho-Melander (12001)

May 2018

Table S1. Single nucleotide polymorphisms included in the GRS as they were reported to associate wit...

Additional file 1: of Comparison of quantification algorithms for circulating cell-free DNA methylation biomarkers in blood plasma from cancer patients

Luka de Vos (4635880)
Heidrun Gevensleben (3308331)
Andreas Schröck (395005)
Alina Franzen (395009)
Glen Kristiansen (76479)
Friedrich Bootz (395015)
Dimo Dietrich (22859)

December 2017

Baseline characteristics and clinicopathological variables. Table with characteristics of HNSCC and ...

Supplementary file for "Whole blood-based transcriptional risk score for nonobese type 2 diabetes predicts dynamic changes in glucose metabolism"

Yanan Hou (16468231)
Huajie Dai (16466046)
Na Chen (16468321)
zhiyun zhao (11667128)
Qi Wang (16468332)
Tianzhichao Hou (12422014)
Jie Zheng (14081550)
Tiange Wang (13891323)
Mian Li (13891315)
Hong Lin (9404561)
Shuangyuan Wang (13891312)
Ruizhi Zheng (9404465)
Jieli Lu (13891320)
Yu Xu (9404565)
Yuhong Chen (13891321)
Ruixin Liu (16468343)
Guang Ning (12328375)
Weiqing Wang (11904076)
Yufang Bi (13891322)
Jiqiu Wang (16468344)
Min Xu (11665438)

July 2023

Title: Whole blood-based transcriptional risk score for nonobese type 2 diabetes predicts dynamic ch...

Additional file 1: of Plasma fatty acid levels and gene expression related to lipid metabolism in peripheral blood mononuclear cells: a cross-sectional study in healthy subjects

Sunniva Larsen (5078120)
Kirsten Holven (3410891)
Inger Ottestad (139318)
Kine Dagsland (5078117)
Mari Myhrstad (3410894)
Stine Ulven (3410885)

April 2018

Selection of genes related to triglyceride- and cholesterol metabolism (285 genes). Genes expressed ...

Additional file 2: of Differences in peripheral blood mononuclear cell gene expression and triglyceride composition in lipoprotein subclasses in plasma triglyceride responders and non-responders to omega-3 supplementation

Amanda Rundblad (6637106)
Sunniva Larsen (5078120)
Mari Myhrstad (3410894)
Inger Ottestad (139318)
Magne Thoresen (3575267)
Kirsten Holven (3410891)
Stine Ulven (3410885)

April 2019

List of significantly (pââ¤â0.05) differentially altered gene transcripts in responders compare...

Additional file 6: of Blood lipids influence DNA methylation in circulating cells

Jansen, Rick
't Hoen, Peter A.C.
van Iterson, Maarten
van Duijn, Cornelia M.
van Zwet, Erik W.
van Dongen, Jenny
Hofman, Albert
Boomsma, Dorret I.
van Heemst, Diana
van den Berg, Leonard H.
Slieker, Roderick C.
Slagboom, P.Eline
Stehouwer, Coen D.A.
Franke, Lude
Schalkwijk, Casper G.
Heijmans, Bastiaan T.
van der Kallen, Carla J.H.
Jukema, J.Wouter
Veldink, Jan H.
van Meurs, Joyce
Zhernakova, Dasha
Dekkers, Koen F.
van Greevenbroek, Marleen M.J.
Zhernakova, Sasha
Hottenga, Jouke J.
van Galen, Michiel
Willemsen, Gonneke
Tigchelaar - Feenstra, Ettje
Uitterlinden, André G.
Mei, Hailiang
Bonder, Marc Jan
Wijmenga, Cisca
Moed, Matthijs H.
Deelen, Joris
Stem Cell Aging Leukemia and Lymphoma (SALL)
Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI)
Translational Immunology Groningen (TRIGR)
Department of Health and Life Sciences
Leiden University Medical Center

December 2016

Polygenic scores constructed from lipid GWAS-identified SNPs associate strongly with their respectiv...

Additional file 1: of Differences in peripheral blood mononuclear cell gene expression and triglyceride composition in lipoprotein subclasses in plasma triglyceride responders and non-responders to omega-3 supplementation

Amanda Rundblad (6637106)
Sunniva Larsen (5078120)
Mari Myhrstad (3410894)
Inger Ottestad (139318)
Magne Thoresen (3575267)
Kirsten Holven (3410891)
Stine Ulven (3410885)

April 2019

List of genes with a significantly (pââ¤â0.05) different baseline expression in responders comp...

Additional file 2: Figure S1. of Sox9 transcriptionally regulates Wnt signaling in intestinal epithelial stem cells in hypomethylated crypts in the diabetic state

Can-Ze Huang (3827875)
Ji-Hao Xu (3827872)
Wa Zhong (418929)
Zhong-Sheng Xia (764499)
Si-Yi Wang (209728)
Di Cheng (1693459)
Jie-Yao Li (418926)
Ting-Feng Wu (455437)
Qi-Kui Chen (418930)
Tao Yu (176965)

March 2017

Quality assessment of raw data for promoter methylation analysis. (a) MA plot showing the distributi...

Additional file 2: Figure S1. of Comprehensive genomic analysis identifies pathogenic variants in maturity-onset diabetes of the young (MODY) patients in South India

Viswanathan Mohan (239503)
Venkatesan Radha (4624417)
Thong Nguyen (1893943)
Eric Stawiski (256718)
Kanika Pahuja (4234612)
Leonard Goldstein (3455636)
Jennifer Tom (4269544)
Ranjit Anjana (3474065)
Monica Kong-Beltran (4851871)
Tushar Bhangale (269603)
Suresh Jahnavi (4851868)
Radhakrishnan Chandni (4851862)
Vijay Gayathri (4851880)
Paul George (4851874)
Na Zhang (333280)
Sakthivel Murugan (4851856)
Sameer Phalke (4851865)
Subhra Chaudhuri (4851859)
Ravi Gupta (208247)
Jingli Zhang (231460)
Sam Santhosh (4851877)
Jeremy Stinson (279794)
Zora Modrusan (37892)
V. Ramprasad (4851883)
Somasekar Seshagiri (83458)
Andrew Peterson (1987636)

February 2018

Box plot showing (a) fasting plasma glucose, (b) fasting insulin, (c) C-peptide fasting, (d) C-pepti...

Additional file 1: of Identification of dynamic glucocorticoid-induced methylation changes at the FKBP5 locus

Tobias Wiechmann (5483243)
Simone Röh (434023)
Susann Sauer (5483240)
Darina Czamara (107824)
Janine Arloth (434022)
Maik Ködel (5483249)
Madita Beintner (6731327)
Lisanne Knop (6731330)
Andreas Menke (418090)
Elisabeth Binder (3448661)
Nadine Provençal (318748)

May 2019

Figure S1. Change in blood cell counts after DEX administration. A) Actual blood cell counts at base...

Additional file 1: of Exploring the genetic basis of human population differences in DNA methylation and their causal impact on immune gene regulation

Lucas Husquin (5864030)
Maxime Rotival (133720)
Maud Fagny (3470801)
Hélène Quach (262024)
Nora Zidane (85964)
Lisa McEwen (3968174)
Julia MacIsaac (3575030)
Michael Kobor (3470795)
Hugues Aschard (110171)
Etienne Patin (107311)
Lluis Quintana-Murci (3320199)

December 2018

Figure S1. Overview of the EvoImmunoPop experimental setting. Figure S2. Exploring the non-linear ef...

Additional file 1: of ZBTB12 DNA methylation is associated with coagulation- and inflammation-related blood cell parameters: findings from the Moli-family cohort

Fabrizia Noro (6691304)
Francesco Gianfagna (440763)
Alessandro Gialluisi (3413885)
Amalia Curtis (6691307)
Augusto Castelnuovo (6691310)
Emanuela Napoleone (6691313)
Chiara Cerletti (285583)
Maria Donati (6691316)
Giovanni Gaetano (6691319)
Marc Hoylaerts (187742)
Licia Iacoviello (285585)
Benedetta Izzi (160858)

May 2019

Putative transcription factor (TF) binding analysis of the blood cell count specific CpG units. Tran...

Additional file 1: of Low HLA binding of diabetes-associated CD8+ T-cell epitopes is increased by post translational modifications

John Sidney (19127)
Jose Vela (4991450)
Dave Friedrich (4991441)
Ravi Kolla (4991444)
Matthias von Herrath (233466)
Johnna Wesley (4991447)
Alessandro Sette (19132)

March 2018

Diabetes-associated proteins. Table (Word; .docx) listing antigens associated with T1D, pre-diabetes...

Additional file 1: of Dietary and genetic risk scores and incidence of type 2 diabetes

Ulrika Ericson (156578)
George Hindy (512699)
Isabel Drake (115126)
Christina-Alexandra Schulz (727982)
Louise Brunkwall (5145233)
Sophie Hellstrand (727981)
Peter Almgren (11999)
Marju Orho-Melander (12001)

May 2018

Table S1. Single nucleotide polymorphisms included in the GRS as they were reported to associate wit...

Additional file 1: of Comparison of quantification algorithms for circulating cell-free DNA methylation biomarkers in blood plasma from cancer patients

Luka de Vos (4635880)
Heidrun Gevensleben (3308331)
Andreas Schröck (395005)
Alina Franzen (395009)
Glen Kristiansen (76479)
Friedrich Bootz (395015)
Dimo Dietrich (22859)

December 2017

Baseline characteristics and clinicopathological variables. Table with characteristics of HNSCC and ...

Supplementary file for "Whole blood-based transcriptional risk score for nonobese type 2 diabetes predicts dynamic changes in glucose metabolism"

Yanan Hou (16468231)
Huajie Dai (16466046)
Na Chen (16468321)
zhiyun zhao (11667128)
Qi Wang (16468332)
Tianzhichao Hou (12422014)
Jie Zheng (14081550)
Tiange Wang (13891323)
Mian Li (13891315)
Hong Lin (9404561)
Shuangyuan Wang (13891312)
Ruizhi Zheng (9404465)
Jieli Lu (13891320)
Yu Xu (9404565)
Yuhong Chen (13891321)
Ruixin Liu (16468343)
Guang Ning (12328375)
Weiqing Wang (11904076)
Yufang Bi (13891322)
Jiqiu Wang (16468344)
Min Xu (11665438)

July 2023

Title: Whole blood-based transcriptional risk score for nonobese type 2 diabetes predicts dynamic ch...

Additional file 1: of Plasma fatty acid levels and gene expression related to lipid metabolism in peripheral blood mononuclear cells: a cross-sectional study in healthy subjects

Sunniva Larsen (5078120)
Kirsten Holven (3410891)
Inger Ottestad (139318)
Kine Dagsland (5078117)
Mari Myhrstad (3410894)
Stine Ulven (3410885)

April 2018

Selection of genes related to triglyceride- and cholesterol metabolism (285 genes). Genes expressed ...

Amanda Rundblad (6637106)
Sunniva Larsen (5078120)
Mari Myhrstad (3410894)
Inger Ottestad (139318)
Magne Thoresen (3575267)
Kirsten Holven (3410891)
Stine Ulven (3410885)

April 2019

List of significantly (pââ¤â0.05) differentially altered gene transcripts in responders compare...

Additional file 6: of Blood lipids influence DNA methylation in circulating cells

Jansen, Rick
't Hoen, Peter A.C.
van Iterson, Maarten
van Duijn, Cornelia M.
van Zwet, Erik W.
van Dongen, Jenny
Hofman, Albert
Boomsma, Dorret I.
van Heemst, Diana
van den Berg, Leonard H.
Slieker, Roderick C.
Slagboom, P.Eline
Stehouwer, Coen D.A.
Franke, Lude
Schalkwijk, Casper G.
Heijmans, Bastiaan T.
van der Kallen, Carla J.H.
Jukema, J.Wouter
Veldink, Jan H.
van Meurs, Joyce
Zhernakova, Dasha
Dekkers, Koen F.
van Greevenbroek, Marleen M.J.
Zhernakova, Sasha
Hottenga, Jouke J.
van Galen, Michiel
Willemsen, Gonneke
Tigchelaar - Feenstra, Ettje
Uitterlinden, André G.
Mei, Hailiang
Bonder, Marc Jan
Wijmenga, Cisca
Moed, Matthijs H.
Deelen, Joris
Stem Cell Aging Leukemia and Lymphoma (SALL)
Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI)
Translational Immunology Groningen (TRIGR)
Department of Health and Life Sciences
Leiden University Medical Center

December 2016

Polygenic scores constructed from lipid GWAS-identified SNPs associate strongly with their respectiv...

Amanda Rundblad (6637106)
Sunniva Larsen (5078120)
Mari Myhrstad (3410894)
Inger Ottestad (139318)
Magne Thoresen (3575267)
Kirsten Holven (3410891)
Stine Ulven (3410885)

April 2019

List of genes with a significantly (pââ¤â0.05) different baseline expression in responders comp...

Additional file 2: Figure S1. of Sox9 transcriptionally regulates Wnt signaling in intestinal epithelial stem cells in hypomethylated crypts in the diabetic state

Can-Ze Huang (3827875)
Ji-Hao Xu (3827872)
Wa Zhong (418929)
Zhong-Sheng Xia (764499)
Si-Yi Wang (209728)
Di Cheng (1693459)
Jie-Yao Li (418926)
Ting-Feng Wu (455437)
Qi-Kui Chen (418930)
Tao Yu (176965)

March 2017

Quality assessment of raw data for promoter methylation analysis. (a) MA plot showing the distributi...

Additional file 2: Figure S1. of Comprehensive genomic analysis identifies pathogenic variants in maturity-onset diabetes of the young (MODY) patients in South India

Viswanathan Mohan (239503)
Venkatesan Radha (4624417)
Thong Nguyen (1893943)
Eric Stawiski (256718)
Kanika Pahuja (4234612)
Leonard Goldstein (3455636)
Jennifer Tom (4269544)
Ranjit Anjana (3474065)
Monica Kong-Beltran (4851871)
Tushar Bhangale (269603)
Suresh Jahnavi (4851868)
Radhakrishnan Chandni (4851862)
Vijay Gayathri (4851880)
Paul George (4851874)
Na Zhang (333280)
Sakthivel Murugan (4851856)
Sameer Phalke (4851865)
Subhra Chaudhuri (4851859)
Ravi Gupta (208247)
Jingli Zhang (231460)
Sam Santhosh (4851877)
Jeremy Stinson (279794)
Zora Modrusan (37892)
V. Ramprasad (4851883)
Somasekar Seshagiri (83458)
Andrew Peterson (1987636)

February 2018

Box plot showing (a) fasting plasma glucose, (b) fasting insulin, (c) C-peptide fasting, (d) C-pepti...

Additional file 1: of Hyperglycemia affects global 5-methylcytosine and 5-hydroxymethylcytosine in blood genomic DNA through upregulation of SIRT6 and TETs

Abstract

Extracted data

Additional file 1: of Hyperglycemia affects global 5-methylcytosine and 5-hydroxymethylcytosine in blood genomic DNA through upregulation of SIRT6 and TETs

Abstract

Extracted data

Related items

Related items