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For: Jha P, McDevitt MT, Gupta R, Quiros PM, Williams EG, Gariani K, Sleiman MB, Diserens L, Jochem A, Ulbrich A, Coon JJ, Auwerx J, Pagliarini DJ. Systems Analyses Reveal Physiological Roles and Genetic Regulators of Liver Lipid Species. Cell Syst 2018;6:722-733.e6. [PMID: 29909277 DOI: 10.1016/j.cels.2018.05.016] [Cited by in Crossref: 35] [Cited by in F6Publishing: 37] [Article Influence: 8.8] [Reference Citation Analysis]
Number Citing Articles
1 Wang S, Liu Z, Song Y, Zhang Y, Zhao L, Zhang L, Lü X, Wang H, Zhang X, Zhang J, Ge W. Characterization and comparison of lipids from human and ewe colostrum based on lipidomics analysis. Food Chemistry 2023;400:133998. [DOI: 10.1016/j.foodchem.2022.133998] [Reference Citation Analysis]
2 Prola A, Pilot-storck F. Cardiolipin Alterations during Obesity: Exploring Therapeutic Opportunities. Biology 2022;11:1638. [DOI: 10.3390/biology11111638] [Reference Citation Analysis]
3 Li H, Perino A, Huang Q, Von Alvensleben GVG, Banaei-Esfahani A, Velazquez-Villegas LA, Gariani K, Korbelius M, Bou Sleiman M, Imbach J, Sun Y, Li X, Bachmann A, Goeminne LJE, Gallart-Ayala H, Williams EG, Ivanisevic J, Auwerx J, Schoonjans K. Integrative systems analysis identifies genetic and dietary modulators of bile acid homeostasis. Cell Metab 2022:S1550-4131(22)00358-8. [PMID: 36099916 DOI: 10.1016/j.cmet.2022.08.015] [Reference Citation Analysis]
4 Feng Z, Duren Z, Xin J, Yuan Q, He Y, Su B, Wong WH, Wang Y. Heritability enrichment in context-specific regulatory networks improves phenotype-relevant tissue identification.. [DOI: 10.1101/2022.09.06.506769] [Reference Citation Analysis]
5 Xie C, Zhu X, Xu B, Niu Y, Zhang X, Ma L, Yan X. Integrated analysis of multi-tissues lipidome and gut microbiome reveals microbiota-induced shifts on lipid metabolism in pigs. Animal Nutrition 2022;10:280-293. [DOI: 10.1016/j.aninu.2022.04.011] [Reference Citation Analysis]
6 Molendijk J, Blazev R, Mills RJ, Ng Y, Watt KI, Chau D, Gregorevic P, Crouch PJ, Hilton JB, Lisowski L, Zhang P, Reue K, Lusis AJ, Hudson JE, James DE, Seldin MM, Parker BL. Proteome-wide systems genetics identifies UFMylation as a regulator of skeletal muscle function.. [DOI: 10.1101/2022.08.22.504871] [Reference Citation Analysis]
7 Ashbrook D, Sasani T, Maksimov M, Gunturkun M, Ma N, Villani F, Ren Y, Rothschild D, Chen H, Lu L, Colonna V, Dumont B, Harris K, Gymrek M, Pritchard J, Palmer A, Williams R. Private and sub-family specific mutations of founder haplotypes in the BXD family reveal phenotypic consequences relevant to health and disease.. [DOI: 10.1101/2022.04.21.489063] [Reference Citation Analysis]
8 G. Ashbrook D, Lu L. Recombinant Inbred Mice as Models for Experimental Precision Medicine and Biology. Preclinical Animal Modeling in Medicine 2022. [DOI: 10.5772/intechopen.96173] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
9 Zhang Q, Tombline G, Ablaeva J, Zhang L, Zhou X, Smith Z, Zhao Y, Xiaoli AM, Wang Z, Lin JR, Jabalameli MR, Mitra J, Nguyen N, Vijg J, Seluanov A, Gladyshev VN, Gorbunova V, Zhang ZD. Genomic expansion of Aldh1a1 protects beavers against high metabolic aldehydes from lipid oxidation. Cell Rep 2021;37:109965. [PMID: 34758328 DOI: 10.1016/j.celrep.2021.109965] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
10 Niu L, Sulek K, Vasilopoulou CG, Santos A, Wewer Albrechtsen NJ, Rasmussen S, Meier F, Mann M. Defining NASH from a Multi-Omics Systems Biology Perspective. J Clin Med 2021;10:4673. [PMID: 34682795 DOI: 10.3390/jcm10204673] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
11 Roy S, Sleiman MB, Jha P, Ingels JF, Chapman CJ, McCarty MS, Ziebarth JD, Hook M, Sun A, Zhao W, Huang J, Neuner SM, Wilmott LA, Shapaker TM, Centeno AG, Ashbrook DG, Mulligan MK, Kaczorowski CC, Makowski L, Cui Y, Read RW, Miller RA, Mozhui K, Williams EG, Sen S, Lu L, Auwerx J, Williams RW. Gene-by-environment modulation of lifespan and weight gain in the murine BXD family. Nat Metab 2021;3:1217-27. [PMID: 34552269 DOI: 10.1038/s42255-021-00449-w] [Cited by in Crossref: 12] [Cited by in F6Publishing: 12] [Article Influence: 12.0] [Reference Citation Analysis]
12 Harshfield EL, Fauman EB, Stacey D, Paul DS, Ziemek D, Ong RMY, Danesh J, Butterworth AS, Rasheed A, Sattar T, Zameer-Ul-Asar, Saleem I, Hina Z, Ishtiaq U, Qamar N, Mallick NH, Yaqub Z, Saghir T, Rizvi SNH, Memon A, Ishaq M, Rasheed SZ, Memon FU, Jalal A, Abbas S, Frossard P, Saleheen D, Wood AM, Griffin JL, Koulman A. Genome-wide analysis of blood lipid metabolites in over 5000 South Asians reveals biological insights at cardiometabolic disease loci. BMC Med 2021;19:232. [PMID: 34503513 DOI: 10.1186/s12916-021-02087-1] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 7.0] [Reference Citation Analysis]
13 Li M, Li Q, Song W, Liu Y, Zhang X, Zheng Y, Yue X. Discovery of lipid biomarkers between bovine colostrum and milk using UHPLC-Q-TOF-MS lipidomics. International Dairy Journal 2021;120:105091. [DOI: 10.1016/j.idairyj.2021.105091] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
14 Sakurai T, Chen Z, Yamahata A, Hayasaka T, Satoh H, Sekiguchi H, Chiba H, Hui SP. A mouse model of short-term, diet-induced fatty liver with abnormal cardiolipin remodeling via downregulated Tafazzin gene expression. J Sci Food Agric 2021;101:4995-5001. [PMID: 33543498 DOI: 10.1002/jsfa.11144] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
15 Ashbrook DG, Arends D, Prins P, Mulligan MK, Roy S, Williams EG, Lutz CM, Valenzuela A, Bohl CJ, Ingels JF, McCarty MS, Centeno AG, Hager R, Auwerx J, Lu L, Williams RW. A platform for experimental precision medicine: The extended BXD mouse family. Cell Syst 2021;12:235-247.e9. [PMID: 33472028 DOI: 10.1016/j.cels.2020.12.002] [Cited by in Crossref: 53] [Cited by in F6Publishing: 54] [Article Influence: 53.0] [Reference Citation Analysis]
16 Tabassum R, Ripatti S. Integrating lipidomics and genomics: emerging tools to understand cardiovascular diseases. Cell Mol Life Sci 2021;78:2565-84. [PMID: 33449144 DOI: 10.1007/s00018-020-03715-4] [Cited by in Crossref: 13] [Cited by in F6Publishing: 16] [Article Influence: 13.0] [Reference Citation Analysis]
17 Norheim F, Chella Krishnan K, Bjellaas T, Vergnes L, Pan C, Parks BW, Meng Y, Lang J, Ward JA, Reue K, Mehrabian M, Gundersen TE, Péterfy M, Dalen KT, Drevon CA, Hui ST, Lusis AJ, Seldin MM. Genetic regulation of liver lipids in a mouse model of insulin resistance and hepatic steatosis. Mol Syst Biol 2021;17:e9684. [PMID: 33417276 DOI: 10.15252/msb.20209684] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 7.0] [Reference Citation Analysis]
18 Harshfield EL, Fauman EB, Stacey D, Paul DS, Ziemek D, Ong RMY, Danesh J, Butterworth AS, Rasheed A, Sattar T, Zameer-ul-asar, Saleem I, Hina Z, Ishtiaq U, Qamar N, Mallick NH, Yaqub Z, Saghir T, Hasan Rizvi SN, Memon A, Ishaq M, Rasheed SZ, Memon F, Jalal A, Abbas S, Frossard P, Saleheen D, Wood AM, Griffin JL, Koulman A. Genome-wide analysis of blood lipid metabolites in over 5,000 South Asians reveals biological insights at cardiometabolic disease loci.. [DOI: 10.1101/2020.10.16.20213520] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
19 Zhu Y, Zhang C, Xu F, Zhao M, Bergquist J, Yang C, Liu X, Tan Y, Wang X, Li S, Jiang W, Ong Q, Lu L, Mi J, Tian G. System biology analysis reveals the role of voltage-dependent anion channel in mitochondrial dysfunction during non-alcoholic fatty liver disease progression into hepatocellular carcinoma. Cancer Sci 2020;111:4288-302. [PMID: 32945042 DOI: 10.1111/cas.14651] [Cited by in Crossref: 6] [Cited by in F6Publishing: 8] [Article Influence: 3.0] [Reference Citation Analysis]
20 Brademan DR, Miller IJ, Kwiecien NW, Pagliarini DJ, Westphall MS, Coon JJ, Shishkova E. Argonaut: A Web Platform for Collaborative Multi-omic Data Visualization and Exploration. Patterns (N Y) 2020;1:100122. [PMID: 33154995 DOI: 10.1016/j.patter.2020.100122] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 3.0] [Reference Citation Analysis]
21 Linke V, Overmyer KA, Miller IJ, Brademan DR, Hutchins PD, Trujillo EA, Reddy TR, Russell JD, Cushing EM, Schueler KL, Stapleton DS, Rabaglia ME, Keller MP, Gatti DM, Keele GR, Pham D, Broman KW, Churchill GA, Attie AD, Coon JJ. A large-scale genome-lipid association map guides lipid identification. Nat Metab 2020;2:1149-62. [PMID: 32958938 DOI: 10.1038/s42255-020-00278-3] [Cited by in Crossref: 20] [Cited by in F6Publishing: 22] [Article Influence: 10.0] [Reference Citation Analysis]
22 Li M, Li Q, Kang S, Cao X, Zheng Y, Wu J, Wu R, Shao J, Yang M, Yue X. Characterization and comparison of lipids in bovine colostrum and mature milk based on UHPLC-QTOF-MS lipidomics. Food Res Int 2020;136:109490. [PMID: 32846571 DOI: 10.1016/j.foodres.2020.109490] [Cited by in Crossref: 21] [Cited by in F6Publishing: 16] [Article Influence: 10.5] [Reference Citation Analysis]
23 Zhang Q, Tombline G, Ablaeva J, Zhang L, Zhou X, Smith Z, Xiaoli AM, Wang Z, Lin J, Jabalameli MR, Mitra J, Nguyen N, Vijg J, Seluanov A, Gladyshev VN, Gorbunova V, Zhang ZD. The genome of North American beaver provides insights into the mechanisms of its longevity and cancer resistance.. [DOI: 10.1101/2020.06.25.171322] [Reference Citation Analysis]
24 de Conti A, Tryndyak V, Willett RA, Borowa-Mazgaj B, Watson A, Patton R, Khare S, Muskhelishvili L, Olson GR, Avigan MI, Cerniglia CE, Ross SA, Sanyal AJ, Beland FA, Rusyn I, Pogribny IP. Characterization of the variability in the extent of nonalcoholic fatty liver induced by a high-fat diet in the genetically diverse Collaborative Cross mouse model. FASEB J 2020;34:7773-85. [PMID: 32304142 DOI: 10.1096/fj.202000194R] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 4.5] [Reference Citation Analysis]
25 Funai K, Summers SA, Rutter J. Reign in the membrane: How common lipids govern mitochondrial function. Curr Opin Cell Biol 2020;63:162-73. [PMID: 32106003 DOI: 10.1016/j.ceb.2020.01.006] [Cited by in Crossref: 11] [Cited by in F6Publishing: 9] [Article Influence: 5.5] [Reference Citation Analysis]
26 Li H, Auwerx J. Mouse Systems Genetics as a Prelude to Precision Medicine. Trends Genet 2020;36:259-72. [PMID: 32037011 DOI: 10.1016/j.tig.2020.01.004] [Cited by in Crossref: 25] [Cited by in F6Publishing: 25] [Article Influence: 12.5] [Reference Citation Analysis]
27 Seldin M, Yang X, Lusis AJ. Systems genetics applications in metabolism research. Nat Metab 2019;1:1038-50. [PMID: 32259026 DOI: 10.1038/s42255-019-0132-x] [Cited by in Crossref: 20] [Cited by in F6Publishing: 20] [Article Influence: 6.7] [Reference Citation Analysis]
28 Tabassum R, Rämö JT, Ripatti P, Koskela JT, Kurki M, Karjalainen J, Palta P, Hassan S, Nunez-Fontarnau J, Kiiskinen TTJ, Söderlund S, Matikainen N, Gerl MJ, Surma MA, Klose C, Stitziel NO, Laivuori H, Havulinna AS, Service SK, Salomaa V, Pirinen M, Jauhiainen M, Daly MJ, Freimer NB, Palotie A, Taskinen MR, Simons K, Ripatti S; FinnGen Project. Genetic architecture of human plasma lipidome and its link to cardiovascular disease. Nat Commun 2019;10:4329. [PMID: 31551469 DOI: 10.1038/s41467-019-11954-8] [Cited by in Crossref: 79] [Cited by in F6Publishing: 83] [Article Influence: 26.3] [Reference Citation Analysis]
29 Roy S, Sleiman MB, Jha P, Williams EG, Ingels JF, Chapman CJ, Mccarty MS, Hook M, Sun A, Zhao W, Huang J, Neuner SM, Wilmott LA, Shapaker TM, Centeno AG, Mozhui K, Mulligan MK, Kaczorowski CC, Makowski L, Lu L, Read RW, Sen S, Miller RA, Auwerx J, Williams RW. Gene-by-environmental modulation of longevity and weight gain in the murine BXD family.. [DOI: 10.1101/776559] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 2.0] [Reference Citation Analysis]
30 Ashbrook DG, Arends D, Prins P, Mulligan MK, Roy S, Williams EG, Lutz CM, Valenzuela A, Bohl CJ, Ingels JF, Mccarty MS, Centeno AG, Hager R, Auwerx J, Sen S, Lu L, Williams RW. The expanded BXD family of mice: A cohort for experimental systems genetics and precision medicine.. [DOI: 10.1101/672097] [Cited by in Crossref: 22] [Cited by in F6Publishing: 23] [Article Influence: 7.3] [Reference Citation Analysis]
31 Vitrinel B, Koh HWL, Mujgan Kar F, Maity S, Rendleman J, Choi H, Vogel C. Exploiting Interdata Relationships in Next-generation Proteomics Analysis. Mol Cell Proteomics 2019;18:S5-S14. [PMID: 31126983 DOI: 10.1074/mcp.MR118.001246] [Cited by in Crossref: 34] [Cited by in F6Publishing: 34] [Article Influence: 11.3] [Reference Citation Analysis]
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33 Parker BL, Calkin AC, Seldin MM, Keating MF, Tarling EJ, Yang P, Moody SC, Liu Y, Zerenturk EJ, Needham EJ, Miller ML, Clifford BL, Morand P, Watt MJ, Meex RCR, Peng KY, Lee R, Jayawardana K, Pan C, Mellett NA, Weir JM, Lazarus R, Lusis AJ, Meikle PJ, James DE, de Aguiar Vallim TQ, Drew BG. An integrative systems genetic analysis of mammalian lipid metabolism. Nature 2019;567:187-93. [PMID: 30814737 DOI: 10.1038/s41586-019-0984-y] [Cited by in Crossref: 69] [Cited by in F6Publishing: 70] [Article Influence: 23.0] [Reference Citation Analysis]
34 Nadeau JH, Auwerx J. The virtuous cycle of human genetics and mouse models in drug discovery. Nat Rev Drug Discov 2019;18:255-72. [DOI: 10.1038/s41573-018-0009-9] [Cited by in Crossref: 31] [Cited by in F6Publishing: 30] [Article Influence: 10.3] [Reference Citation Analysis]
35 Tabassum R, Rämö JT, Ripatti P, Koskela JT, Kurki M, Karjalainen J, Hassan S, Nunez-fontarnau J, Kiiskinen TT, Söderlund S, Matikainen N, Gerl MJ, Surma MA, Klose C, Stitziel NO, Laivuori H, Havulinna AS, Service SK, Salomaa V, Pirinen M, Jauhiainen M, Daly MJ, Freimer NB, Palotie A, Taskinen M, Simons K, Ripatti S. Genetics of human plasma lipidome: Understanding lipid metabolism and its link to diseases beyond traditional lipids.. [DOI: 10.1101/457960] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 1.5] [Reference Citation Analysis]
36 Jha P, McDevitt MT, Halilbasic E, Williams EG, Quiros PM, Gariani K, Sleiman MB, Gupta R, Ulbrich A, Jochem A, Coon JJ, Trauner M, Pagliarini DJ, Auwerx J. Genetic Regulation of Plasma Lipid Species and Their Association with Metabolic Phenotypes. Cell Syst 2018;6:709-721.e6. [PMID: 29909275 DOI: 10.1016/j.cels.2018.05.009] [Cited by in Crossref: 36] [Cited by in F6Publishing: 39] [Article Influence: 9.0] [Reference Citation Analysis]