research-v2

Publications

2016

  1. Halama A, Kulinski M, Kader SA, Satheesh NJ, Abou-Samra AB, Suhre K, Mohammad RM, Measurement of 1,5-anhydroglucitol in blood and saliva: from non-targeted metabolomics to biochemical assa, J Transl Med,14:140, 2016.
  2. Sekula P, Goek ON, Quaye L, Barrios C, Levey AS, Römisch-Margl W, Menni C, Yet I, Gieger C, Inker LA, Adamski J, Gronwald W, Illig T, Dettmer K, Krumsiek J, Oefner PJ, Valdes AM, Meisinger C, Coresh J, Spector TD, Mohney RP, Suhre K, Kastenmüller G, Köttgen A, A Metabolome-Wide Association Study of Kidney Function and Disease in the General Population, J Am Soc Nephrol, 27:1175-1188, 2016.
  3. Billing AM, Ben Hamidane H, Dib SS, Cotton RJ, Bhagwat AM, Kumar P, Hayat S, Yousri NA, Goswami N, Suhre K, Rafii A, Graumann J, Comprehensive transcriptomic and proteomic characterization of human mesenchymal stem cells reveals source specific cellular markers, Sci Rep, 6:21507, 2016.
  4. Yousri NA, Kastenmüller G, AlHaq WG, Holle R, Kääb S, Mohney RP, Gieger C, Peters A, Adamski J, Suhre K, Arayssi T, Diagnostic and Prognostic Metabolites Identified for Joint Symptoms in the KORA Population, J Proteome Res, 89:210-216, 2016.
  5. Rodriguez-Flores JL, Fakhro K, Agosto-Perez F, Ramstetter MD, Arbiza L, Vincent TL, Robay A, Malek JA, Suhre K, Chouchane L, Badii R, Al-Nabet Al-Marri A, Abi Khalil C, Zirie M, Jayyousi A, Salit J, Keinan A, Clark AG, Crystal RG, Mezey JG, Indigenous Arabs are descendants of the earliest split from ancient Eurasian populations, Genome Res, 26:151-162, 2016.
  6. Suhre K, Schwartz JE, Sharma VK, Chen Q, Lee JR, Muthukumar T, Dadhania DM, Ding R, Ikle DN, Bridges ND, Williams NM, Kastenmüller G, Karoly ED, Mohney RP, Abecassis M, Friedewald J, Knechtle SJ, Becker YT, Samstein B, Shaked A, Gross SS, Suthanthiran M, Urine Metabolite Profiles Predictive of Human Kidney Allograft Status, 27:626-636, 2016.
  7. Zierer J, Kastenmüller G, Suhre K, Gieger C, Codd V, Tsai PC, Bell J, Peters A, Strauch K, Schulz H, Weidinger S, Mohney RP, Samani NJ, Spector T, Mangino M, Menni C, Metabolomics profiling reveals novel markers for leukocyte telomere length, Aging, 8:77-94, 2016.
  8. Dumas ME, Adamski J, Suhre K, Guest Editorial: Special issue on metabolomics, Arch Biochem Biophys, 589:1-3, 2016.
  1. Suhre K, Raffler J, Kastenmüller G, Biochemical insights from population studies with genetics and metabolomics, Arch Biochem Biophys, 589:168-176, 2016.
  2. Halama A, Horsch M, Kastenmüller G, Möller G, Kumar P, Prehn C, Laumen H, Hauner H, Hrabe de Angelis M, Beckers J, Suhre K, Adamski J, Metabolic switch during adipogenesis: From branched chain amino acid catabolism to lipid synthesis, Arch Biochem Biophys, 589:93-107, 2016.
  3. Mook-Kanamori DO, de Mutsert R, Rensen PC, Prehn C, Adamski J, den Heijer M, le Cessie S, Suhre K, Rosendaal FR, Dijk KW, Type 2 diabetes is associated with postprandial amino acid measures, Arch Biochem Biophys, 589:138-144, 2016.
  4. Al Muftah WA, Al-Shafai M, Zaghlool SB, Visconti A, Tsai PC, Kumar P, Spector T, Bell J, Falchi M, Suhre K, Epigenetic associations of type 2 diabetes and BMI in an Arab population, Clin Epigenetics, 8:13, 2016.
  5. Merz B, Nöthlings U, Wahl S, Haftenberger M, Schienkiewitz A, Adamski J, Suhre K, Wang-Sattler R, Grallert H, Thorand B, Pischon T, Bachlechner U, Floegel A, Peters A, Boeing H, Specific Metabolic Markers Are Associated with Future Waist-Gaining Phenotype in Women, PLoS One, 11:e0157733, 2016.
  6. Altmaier E, Menni C, Heier M, Meisinger C, Thorand B, Quell J, Kobl M, Römisch-Margl W, Valdes AM, Mangino M, Waldenberger M, Strauch K, Illig T, Adamski J, Spector T, Gieger C, Suhre K, Kastenmüller G, The Pharmacogenetic Footprint of ACE Inhibition: A Population-Based Metabolomics Study, PLoS One, 11:e0153163, 2016.
  7. Yet I, Menni C, Shin SY, Mangino M, Soranzo N, Adamski J, Suhre K, Spector TD, Kastenmüller G, Bell JT, Genetic Influences on Metabolite Levels: A Comparison across Metabolomic Platforms, PLoS One, 11:e0153672, 2016.
  8. Schulte EC, Altmaier E, Berger HS, Do KT, Kastenmüller G, Wahl S, Adamski J, Peters A, Krumsiek J, Suhre K, Haslinger B, Ceballos-Baumann A, Gieger C, Winkelmann J, Alterations in Lipid and Inositol Metabolisms in Two Dopaminergic Disorders, PLoS One, 11:e0147129, 2016.

2015

  1. Diboun I, Mathew S, Al-Rayyashi M, Elrayess M, Torres M, Halama A, Méret M, Mohney RP, Karoly ED, Malek J, Suhre K, Metabolomics of dates (Phoenix dactylifera) reveals a highly dynamic ripening process accounting for major variation in fruit composition, BMC Plant Biol, 15:291, 2015.
  2. Krumsiek J, Mittelstrass K, Do KT, Stückler F, Ried J, Adamski J, Peters A, Illig T, Kronenberg F, Friedrich N, Nauck M, Pietzner M, Mook-Kanamori DO, Suhre K, Gieger C, Grallert H, Theis FJ, Kastenmüller G, Gender-specific pathway differences in the human serum metabolome., Metabolomics, 11:1815-1833, 2015.
  3. Fakhro KA, Yousri NA, Rodriguez-Flores JL, Robay A, Staudt MR, Agosto-Perez F, Salit J, Malek JA, Suhre K, Jayyousi A, Zirie M, Stadler D, Mezey JG, Crystal RG, Copy number variations in the genome of the Qatari population, BMC Genomics, 16:834, 2015.
  4. Kastenmüller G, Raffler J, Gieger C, Suhre K, Genetics of human metabolism: an update, Hum Mol Genet, 24:R93-R101, 2015.
  5. Ameling S, Kacprowski T, Chilukoti RK, Malsch C, Liebscher V, Suhre K, Pietzner M, Friedrich N, Homuth G, Hammer E, Völker U, Associations of circulating plasma microRNAs with age, body mass index and sex in a population-based study, BMC Med Genomics, 8:61, 2015.
  6. Kumar P, Halama A, Hayat S, Billing AM, Gupta M, Yousri NA, Smith GM, Suhre K, MetaRNA-Seq: An Interactive Tool to Browse and Annotate Metadata from RNA-Seq Studies., Biomed Res Int, 2015:318064, 2015.
  7. Raffler J, Friedrich N, Arnold M, Kacprowski T, Rueedi R, Altmaier E, Bergmann S, Budde K, Gieger C, Homuth G, Pietzner M, Römisch-Margl W, Strauch K, Völzke H, Waldenberger M, Wallaschofski H, Nauck M, Völker U, Kastenmüller G, Suhre K, Genome-Wide Association Study with Targeted and Non-targeted NMR Metabolomics Identifies 15 Novel Loci of Urinary Human Metabolic Individuality, PLoS Genet, 11:e1005487, 2015.
  8. Elsaid MF, Chalhoub N, Kamel H, Ehlayel M, Ibrahim N, Elsaid A, Kumar P, Khalak H, Ilyin VA, Suhre K, Abdel Aleem A, Non-truncating LIFR mutation: causal for prominent congenital pain insensitivity phenotype with progressive vertebral destruction?, Clin Genet [Epub ahead of print].
  9. Xu T, Brandmaier S, Messias AC, Herder C, Draisma HH, Demirkan A, Yu Z, Ried JS, Haller T, Heier M, Campillos M, Fobo G, Stark R, Holzapfel C, Adam J, Chi S, Rotter M, Panni T, Quante AS, He Y, Prehn C, Roemisch-Margl W, Kastenmüller G, Willemsen G, Pool R, Kasa K, van Dijk KW, Hankemeier T, Meisinger C, Thorand B, Ruepp A, Hrabé de Angelis M, Li Y, Wichmann HE, Stratmann B, Strauch K, Metspalu A, Gieger C, Suhre K, Adamski J, Illig T, Rathmann W, Roden M, Peters A, van Duijn CM, Boomsma DI, Meitinger T, Wang-Sattler R, Effects of Metformin on Metabolite Profiles and LDL Cholesterol in Patients With Type 2 Diabetes, Diabetes Care, 38:1858-1867, 2015
  10. Halama A, Guerrouahen BS, Pasquier J, Diboun I, Karoly ED, Suhre K, Rafii A, Metabolic signatures differentiate ovarian from colon cancer cell lines, J Transl Med, 13:223, 2015.
  11. Kastenmüller G, Raffler J, Gieger C, Suhre K, Genetics of human metabolism: an update, Hum Mol Genet, 24:R93-R101 2015.
  12. Bartel J, Krumsiek J, Schramm K, Adamski J, Gieger C, Herder C, Carstensen M, Peters A, Rathmann W, Roden M, Strauch K, Suhre K, Kastenmüller G, Prokisch H, Theis FJ, The Human Blood Metabolome-Transcriptome Interface., PLoS Genet, 11:e1005274 2015.
  13. Draisma HH, Pool R, Kobl M, Jansen R, Petersen AK, Vaarhorst AA, Yet I, Haller T, Demirkan A, Esko T, Zhu G, Böhringer S, Beekman M, van Klinken JB, Römisch-Margl W, Prehn C, Adamski J, de Craen AJ, van Leeuwen EM, Amin N, Dharuri H, Westra HJ, Franke L, de Geus EJ, Hottenga JJ, Willemsen G, Henders AK, Montgomery GW, Nyholt DR, Whitfield JB, Penninx BW, Spector TD, Metspalu A, Eline Slagboom P, van Dijk KW, 't Hoen PA, Strauch K, Martin NG, van Ommen GJ, Illig T, Bell JT, Mangino M, Suhre K, McCarthy MI, Gieger C, Isaacs A, van Duijn CM, Boomsma DI, Genome-wide association study identifies novel genetic variants contributing to variation in blood metabolite levels, Nat Commun, 6:7208 2015.
  14. Yousri NA, Mook-Kanamori DO, Selim MME, Takiddin AH, Al-Homsi H, Al-Mahmoud KAS, Karoly ED, Krumsiek J, Do KT, Neumaier U, Mook-Kanamori MJ, Rowe J, Chidiac OM, McKeon C, Al Muftah WA, SA Kader, Kastenmüller G, Suhre K, A systems view of type 2 diabetes-associated metabolic perturbations in saliva, blood and urine at different time-scales of glycemic control, Diabetologia, 58:1855-67, 2015.
  15. Suhre K, Schwartz JE, Sharma VK, Chen Q, Lee JR, Muthukumar T, Dadhania DM, Ding R, Ikle DN, Bridges ND, Williams NM, Kastenmüller G, Karoly ED, Mohney RP, Abecassis M, Friedewald J, Knechtle SJ, Becker YT, Samstein B, Shaked A, Gross SS, Suthanthiran M.Urine Metabolite Profiles Predictive of Human Kidney Allograft Status, J Am Soc Nephrol [Epub ahead of print]
  16. Menni C, Graham D, Kastenmüller G, Alharbi NH, Alsanosi SM, McBride M, Mangino M, Titcombe P, Shin SY, Psatha M, Geisendorfer T, Huber A, Peters A, Wang-Sattler R, Xu T, Brosnan MJ, Trimmer J, Reichel C, Mohney RP, Soranzo N, Edwards MH, Cooper C, Church AC, Suhre K, Gieger C, Dominiczak AF, Spector TD, Padmanabhan S, Valdes AM. Metabolomic identification of a novel pathway of blood pressure regulation involving hexadecanedioate, Hypertension, 66:422-429 2015.
  17. Mathew LS, Seidel MA, George B, Mathew S, Spannagl M, Haberer G, Torres MF, Al-Dous EK, Al-Azwani EK, Diboun I, Krueger RR, Mayer KF, Mohamoud YA, Suhre K, Malek JA. A Genome-Wide Survey of Date Palm Cultivars Supports Two Major Subpopulations in Phoenix dactylifera, G3, 5:1429-1438, 2015.
  18. Widmann P, Reverter A, Weikard R, Suhre K, Hammon HM, Albrecht E, Kuehn C. Systems Biology Analysis Merging Phenotype, Metabolomic and Genomic Data Identifies Non-SMC Condensin I Complex, Subunit G (NCAPG) and Cellular Maintenance Processes as Major Contributors to Genetic Variability in Bovine Feed Efficiency. PLoS One, 10:e0124574, 2015.
  19. Wahl S, Vogt S, Stückler F, Krumsiek J, Bartel J, Kacprowski T, Schramm K, Carstensen M, Rathmann W, Roden M, Jourdan C, Kangas AJ, Soininen P, Ala-Korpela M, Nöthlings U, Boeing H, Theis FJ, Meisinger C, Waldenberger M, Suhre K, Homuth G, Gieger C, Kastenmüller G, Illig T, Linseisen J, Peters A, Prokisch H, Herder C, Thorand B, Grallert H. Multi-omic signature of body weight change: results from a population-based cohort study. BMC Medicine, 13:48, 2015. 
  20. Zaghlool SB, Al-Shafai M, Al Muftah WA, Kumar P, Falchi M, Suhre K, Association of DNA methylation with age, gender, and smoking in an Arab population, Clinical Epigenetics, 7:6, 2015. 
  21. Kronfol Z, Zakaria Khalil M, Kumar P, ∫, Karam E, McInnis M. Bipolar disorders in the Arab world: a critical review, Ann. N. Y. Acad. Sci. 1345:59-66, 2015.
  22. Do KT, Kastenmüller G, Mook-Kanamori DO, Yousri NA, Theis FJ, Suhre K, Krumsiek J. Network-based approach for analyzing intra- and interfluid metabolite associations in human blood, urine, and saliva, J. Proteome Res.,14:1183-1194, 2015.

2014

  1. Arnold M, Raffler J, Pfeufer A, Suhre K, Kastenmüller G. SNiPA: an interactive, genetic variant-centered annotation browser. Bioinformatics, pii:btu779, 2014.
  2. Witting M, Lucio M, Tziotis D, Wägele B, Suhre K, Voulhoux R, Garvis S, Schmitt-Kopplin P. DI-ICR-FT-MS-based high-throughput deep metabotyping: a case study of the Caenorhabditis elegans-Pseudomonas aeruginosa infection model, Anal. Bioanal. Chem., 407:1059-1073, 2014.
  3. Kumar P, Al-Shafai M, Al Muftah WA, Chalhoub N, Elsaid MF, Aleem AA, Suhre K, Evaluation of SNP calling using single and multiple-sample calling algorithms by validation against array base genotyping and Mendelian inheritance, BMC Research Notes, 7:747, 2014.
  4. Yousri NA, Kastenmüller G, Gieger C, Shin SY, Erte I, Menni C, Peters A, Meisinger C, Mohney RP, Illig T, Adamski J, Soranzo N, Spector TD, Suhre K, Long term conservation of human metabolic phenotypes and link to heritability, Metabolomics, 10:1005-1017, 2014.
  5. Neschen S, Scheerer M, Seelig A, Huypens P, Schultheiss J, Wu M, Wurst W, Rathkolb B, Suhre K, Wolf E, Beckers J, Hrabé de Angelis M, Metformin supports the antidiabetic effect of a sodium glucose cotransporter 2 (SGLT2) inhibitor by suppressing endogenous glucose production in diabetic mice, Diabetes, 64:284-290, 2014.
  6. Wahl S, Fenske N, Zeilinger S, Suhre K, Gieger C, Waldenberger M, Grallert H, Schmid M, On the potential of models for location and scale for genome-wide DNA methylation data, BMC Bioinformatics, 15:232, 2014.
  7. Jourdan C, Linseisen J, Meisinger C, Petersen AK, Gieger C, Rawal R, Illig T, Heier M, Peters A, Wallaschofski H, Nauck M, Kastenmüller G, Suhre K, Prehn C, Adamski J, Koenig W, Roden M, Wichmann HE, Völzke H, Associations between thyroid hormones and serum metabolite profiles in an euthyroid population, Metabolomics, 10:152-164, 2014.
  8. Ried JS, Shin SY, Krumsiek J, Illig T, Theis FJ, Spector TD, Adamski J, Wichmann HE, Strauch K, Soranzo N, Suhre K, Gieger C, Novel genetic associations with serum level metabolites identified by phenotype set enrichment analyses, Hum Mol Genet, 23:5847-57, 2014.
  9. Mathew S, Krug S, Skurk T, Halama A, Stank A, Artati A, Prehn C, Malek JA, Kastenmüller G, Römisch-Margl W, Adamski J, Hauner H, Suhre K., Metabolomics of Ramadan fasting: an opportunity for the controlled study of physiological responses to food intake, J Transl Med, 12:161, 2014.
  10. Grabe HJ, Assel H, Bahls T, Dörr M, Endlich K, Endlich N, Erdmann P, Ewert R, Felix SB, Fiene B, Fischer T, Flessa S, Friedrich N, Gadebusch-Bondio M, Salazar MG, Hammer E, Haring R, Havemann C, Hecker M, Hoffmann W, Holtfreter B, Kacprowski T, Klein K, Kocher T, Kock H, Krafczyk J, Kuhn J, Langanke M, Lendeckel U, Lerch MM, Lieb W, Lorbeer R, Mayerle J, Meissner K, zu Schwabedissen HM, Nauck M, Ott K, Rathmann W, Rettig R, Richardt C, Saljé K, Schminke U, Schulz A, Schwab M, Siegmund W, Stracke S, Suhre K, Ueffing M, Ungerer S, Völker U, Völzke H, Wallaschofski H, Werner V, Zygmunt MT, Kroemer H, Cohort profile: Greifswald approach to individualized medicine (GANI_MED), J Transl Med, 12:144, 2014.
  11. Suhre K, Metabolic profiling in diabetes, J Endocrinol, 221:R75-85, 2014.
  12. Rafii A, Touboul C, Al Thani H, Suhre K, Malek JA, Where cancer genomics should go next: a clinician's perspective, Hum Mol Genet, 23:R69-75, 2014.
  13. Altmaier E, Fobo G, Heier M, Thorand B, Meisinger C, Römisch-Margl W, Waldenberger M, Gieger C, Illig T, Adamski J, Suhre K, Kastenmüller G, Metabolomics approach reveals effects of antihypertensives and lipid-lowering drugs on the human metabolism, Eur J Epidemiol, 29:325-336, 2014.
  14. Shin SY, Fauman EB, Petersen AK, Krumsiek J, Santos R, Huang J, Arnold M, Erte I, Forgetta V, Yang TP, Walter K, Menni C, Chen L, Vasquez L, Valdes AM, Hyde CL, Wang V, Ziemek D, Roberts P, Xi L, Grundberg E; Multiple Tissue Human Expression Resource (MuTHER) Consortium, Waldenberger M, Richards JB, Mohney RP, Milburn MV, John SL, Trimmer J, Theis FJ, Overington JP, Suhre K, Brosnan MJ, Gieger C, Kastenmüller G, Spector TD, Soranzo N, An atlas of genetic influences on human blood metabolites, Nature Genetics, 46:543-550, 2014.
  15. Schramm K, Marzi C, Schurmann C, Carstensen M, Reinmaa E, Biffar R, Eckstein G, Gieger C, Grabe HJ, Homuth G, Kastenmüller G, Mägi R, Metspalu A, Mihailov E, Peters A, Petersmann A, Roden M, Strauch K, Suhre K, Teumer A, Völker U, Völzke H, Wang-Sattler R, Waldenberger M, Meitinger T, Illig T, Herder C, Grallert H, Prokisch , Mapping the genetic architecture of gene regulation in whole blood, PLoS One, 9:e93844, 2014.
  16. Mathew LS, Spannagl M, Al-Malki A, George B, Torres MF, Al-Dous EK, Al-Azwani EK, Hussein E, Mathew S, Mayer KF, Mohamoud YA, Suhre K, Malek JA, A first genetic map of date palm (Phoenix dactylifera) reveals long-range genome structure conservation in the palms, BMC Genomics, 15:285, 2014.
  17. Mook-Kanamori DO, Römisch-Margl W, Kastenmüller G, Prehn C, Petersen AK, Illig T, Gieger C, Wang-Sattler R, Meisinger C, Peters A, Adamski J, Suhre K, Increased amino acids levels and the risk of developing of hypertriglyceridemia in a 7-year follow-up, J Endocrinol Invest, 37:369-374, 2014.
  18. Shin SY, Petersen AK, Wahl S, Zhai G, Römisch-Margl W, Small KS, Döring A, Kato BS, Peters A, Grundberg E, Prehn C, Wang-Sattler R, Wichmann HE, de Angelis MH, Illig T, Adamski J, Deloukas P, Spector TD, Suhre K, Gieger C, Soranzo N, Interrogating causal pathways linking genetic variants, small molecule metabolites, and circulating lipids, Genome Med, 6:25, 2014.
  19. Lis R, Touboul C, Halabi NM, Madduri AS, Querleu D, Mezey J, Malek JA, Suhre K, Rafii A., Mesenchymal cell interaction with ovarian cancer cells induces a background dependent pro-metastatic transcriptomic profile, J Transl Med., 12:59, 2014.
  20. Claussnitzer M, Dankel SN, Klocke B, Grallert H, Glunk V, Berulava T, Lee H, Oskolkov N, Fadista J, Ehlers K, Wahl S, Hoffmann C, Qian K, Rönn T, Riess H, Müller-Nurasyid M, Bretschneider N, Schroeder T, Skurk T, Horsthemke B; DIAGRAM+Consortium, Spieler D, Klingenspor M, Seifert M, Kern MJ, Mejhert N, Dahlman I, Hansson O, Hauck SM, Blüher M, Arner P, Groop L, Illig T, Suhre K, Hsu YH, Mellgren G, Hauner H, Laumen H, Leveraging cross-species transcription factor binding site patterns: from diabetes risk Loci to disease mechanisms, Cell, 156:343-358, 2014.
  21. Albrecht E, Waldenberger M, Krumsiek J, Evans AM, Jeratsch U, Breier M, Adamski J, Koenig W, Zeilinger S, Fuchs C, Klopp N, Theis FJ, Wichmann HE, Suhre K, Illig T, Strauch K, Peters A, Gieger C, Kastenmüller G, Doering A, Meisinger C, Metabolite profiling reveals new insights into the regulation of serum urate in humans, Metabolomics, 10:141-151, 2014.
  22. Mook-Kanamori DO, El-Din Selim MM, Takiddin AH, Al-Homsi H, Al-Mahmoud KA, Al-Obaidli A, Zirie MA, Rowe J, Yousri NA, Karoly ED, Kocher T, Sekkal Gherbi W, Chidiac OM, Mook-Kanamori MJ, Abdul Kader S, Al Muftah WA, McKeon C, Suhre K, 1,5-anhydroglucitol in saliva is a non-invasive marker of short-term glycemic control, J Clin Endocrinol Metab, 99:E479-483, 2014.
  23. Petersen AK, Zeilinger S, Kastenmüller G, Römisch-Margl W, Brugger M, Peters A, Meisinger C, Strauch K, Hengstenberg C, Pagel P, Huber F, Mohney RP, Grallert H, Illig T, Adamski J, Waldenberger M, Gieger C, Suhre K, Epigenetics meets metabolomics: An epigenome-wide association study with blood serum metabolic traits, Hum Mol Genet., 23:534-545, 2014.

2013

  1. Dharuri H, Henneman P, Demirkan A, van Klinken JB, Mook-Kanamori DO, Wang-Sattler R, Gieger C, Adamski J, Hettne K, Roos M, Suhre K, Van Duijn CM; EUROSPAN Consortia, van Dijk KW, 't Hoen PA, Automated workflow-based exploitation of pathway databases provides new insights into genetic associations of metabolite profiles. BMC Genomics, 14:865, 2013.
  2. Widmann P, Reverter A, Fortes MR, Weikard R, Suhre K, Hammon H, Albrecht E, Kuehn C, A systems biology approach using metabolomic data reveals genes and pathways interacting to modulate divergent growth in cattle. BMC Genomics, 14:798, 2013.
  3. Mook-Kanamori MJ, Selim MM, Takiddin AH, Al-Homsi H, Al-Mahmoud KA, Al-Obaidli A, Zirie MA, Rowe J, Gherbi WS, Chidiac OM, Kader SA, Al Muftah WA, McKeon C, Suhre K, Mook-Kanamori DO, Ethnic and gender differences in advanced glycation end products measured by skin auto-fluorescence. Dermato-Endocrinology, 5:325-330, 2013.
  4. Menni C, Fauman E, Erte I, Perry JR, Kastenmüller G, Shin SY, Petersen AK, Hyde C, Psatha M, Ward KJ, Yuan W, Milburn M, Palmer CN, Frayling TM, Trimmer J, Bell JT, Gieger C, Mohney R, Brosnan MJ, Suhre K, Soranzo N, Spector TD, Biomarkers for type 2 diabetes and impaired fasting glucose using a non-targeted metabolomics approach. Diabetes, 62:4270-4276, 2013.
  5. Menni C, Kastenmüller G, Petersen AK, Bell JT, Psatha M, Tsai PC, Gieger C, Schulz H, Erte I, John S, Brosnan MJ, Wilson SG, Tsaprouni L, Lim EM, Stuckey B, Deloukas P, Mohney R, Suhre K, Spector TD, Valdes AM.Metabolomic markers reveal novel pathways of ageing and early development in human populations. Int J Epidemiol., 42:1111-1119, 2013.
  6. Goek ON, Prehn C, Sekula P, Römisch-Margl W, Döring A, Gieger C, Heier M, Koenig W, Wang-Sattler R, Illig T, Suhre K, Adamski J, Köttgen A, Meisinger C. Metabolites associate with kidney function decline and incident * chronic kidney disease in the general population. Nephrol Dial Transplant, 28:2131-2138, 2013.
  7. Menni C, Zhai G, Macgregor A, Prehn C, Römisch-Margl W, Suhre K, Adamski J, Cassidy A, Illig T, Spector TD, Valdes AM. Targeted metabolomics profiles are strongly correlated with nutritional patterns in women. Metabolomics, 9:506-514, 2013.
  8. Xu T, Holzapfel C, Dong X, Bader E, Yu Z, Prehn C, Perstorfer K, Jaremek M, Roemisch-Margl W, Rathmann W, Li Y, Wichmann HE, Wallaschofski H, Ladwig KH, Theis F, Suhre K, Adamski J, Illig T, Peters A, Wang-Sattler R, Effects of smoking and smoking cessation on human serum metabolite profile: results from the KORA cohort study. BMC Med.,11:60, 2013.
  9. Raffler J, Römisch-Margl W, Petersen AK, Pagel P, Blöchl F, Hengstenberg C, Illig T, Meisinger C, Stark K, Wichmann HE, Adamski J, Gieger C, Kastenmüller G, Suhre K, Identification and MS-assisted interpretation of genetically influenced NMR signals in human plasma. Genome Med., 5:13, 2013.
  10. Altmaier E, Emeny RT, Krumsiek J, Lacruz ME, Lukaschek K, Häfner S, Kastenmüller G, Römisch-Margl W, Prehn C, Mohney RP, Evans AM, Milburn MV, Illig T, Adamski J, Theis F, Suhre K, Ladwig KH. Metabolomic profiles in individuals with negative affectivity and social inhibition: A population-based study of Type D personality. Psychoneuroendocrinology, 38:1299-309, 2013.
  11. Adamski J, Suhre K., Metabolomics platforms for genome wide association studies-linking the genome to the metabolome. Curr. Opin. Biotechnol., 24:39-47, 2013.

2012

  1. Wahl S, Yu Z, Kleber M, Singmann P, Holzapfel C, He Y, Mittelstrass K, Polonikov A, Prehn C, Römisch-Margl W, Adamski J, Suhre K, Grallert H, Illig T, Wang-Sattler R, Reinehr T., Childhood obesity is associated with changes in the serum metabolite profile. Obesity Facts, 5:660-670, 2012.
  2. Krumsiek J, Suhre K, Evans AM, Mitchell MW, Mohney RP, Milburn MV, Wägele B, Römisch-Margl W, Illig T, Adamski J, Gieger C, Theis FJ, Kastenmüller G., Mining the unknown: a systems approach to metabolite identification combining genetic and metabolic information. PLoS Genetics, 8:e1003005, 2012.
  3. Suhre K, Gieger C, Genetic variation in metabolic phenotypes: study designs and applications.Nature Reviews Genetics, 13:759-769, 2012.
  4. Wang-Sattler R, Yu Z, Herder C, Messias AC, Floegel A, He Y, Heim K, Campillos M, Holzapfel C, Thorand B, Grallert H, Xu T, Bader E, Huth C, Mittelstrass K, Döring A, Meisinger C, Gieger C, Prehn C, Roemisch-Margl W, Carstensen M, Xie L, Yamanaka-Okumura H, Xing G, Ceglarek U, Thiery J, Giani G, Lickert H, Lin X, Li Y, Boeing H, Joost HG, de Angelis MH, Rathmann W, Suhre K, Prokisch H, Peters A, Meitinger T, Roden M, Wichmann HE, Pischon T, Adamski J, Illig T, Novel biomarkers for pre-diabetes identified by metabolomics. Mol. Syst. Biol., 8:615, 2012.
  5. Föcker M, Timmesfeld N, Scherag S, Knoll N, Singmann P, Wang-Sattler R, Bühren K, Schwarte R, Egberts K, Fleischhaker C, Adamski J, Illig T, Suhre K, Albayrak O, Hinney A, Herpertz-Dahlmann B, Hebebrand J, Comparison of metabolic profiles of acutely ill and short-term weight recovered patients with anorexia nervosa reveals alterations of 33 out of 163 metabolites. J. Psychiatr. Res., pii: S0022-3956(12)00248-8, 2012.
  6. Yu Z, Zhai G, Singmann P, He Y, Xu T, Prehn C, Römisch-Margl W, Lattka E, Gieger C, Soranzo N, Heinrich J, Standl M, Thiering E, Mittelstraß K, Wichmann HE, Peters A, Suhre K, Li Y, Adamski J, Spector TD, Illig T, Wang-Sattler R. Human serum metabolic profiles are age dependent. Aging Cell, 11:960-967, 2012.
  7. Wägele B, Witting M, Schmitt-Kopplin P, Suhre K. MassTRIX Reloaded: Combined Analysis and Visualization of Transcriptome and Metabolome Data. PLoS One, 7:e39860, 2012.
  8. Jourdan C, Petersen AK, Gieger C, Döring A, Illig T, Wang-Sattler R, Meisinger C, Peters A, Adamski J, Prehn C, Suhre K, Altmaier E, Kastenmüller G, Römisch-Margl W, Theis FJ, Krumsiek J, Wichmann HE, Linseisen J. Body fat free mass is associated with the serum metabolite profile in a population-based study, PLoS One, 7:e40009, 2012.
  9. Ried JS, Döring A, Oexle K, Meisinger C, Winkelmann J, Klopp N, Meitinger T, Peters A, Suhre K, Wichmann HE, Gieger C. PSEA: Phenotype Set Enrichment Analysis--a new method for analysis of multiple phenotypes. Genet Epidemiol. 36:244-252, 2012.
  10. Krumsiek J, Suhre K, Illig T, Adamski J, Theis FJ. Bayesian independent component analysis recovers pathway signatures from blood metabolomics data. J Proteome Res. 11:4120-4131, 2012.
  11. Petersen AK, Krumsiek J, Wägele B, Theis FJ, Wichmann HE, Gieger C, Suhre K. On the hypothesis-free testing of metabolite ratios in genome-wide and metabolome-wide association studies. BMC Bioinformatics. 13:120, 2012.
  12. Lis R, Touboul C, Raynaud CM, Malek JA, Suhre K, Mirshahi M, Rafii A. Mesenchymal cell interaction with ovarian cancer cells triggers pro-metastatic properties. PLoS One, 7:e38340, 2012.
  13. Renner S, Römisch-Margl W, Prehn C, Krebs S, Adamski J, Göke B, Blum H, Suhre K, Roscher AA, Wolf E. Changing Metabolic Signatures of Amino Acids and Lipids During the Prediabetic Period in a Pig Model With Impaired Incretin Function and Reduced β-Cell Mass. Diabetes, 61:2166-2175, 2012.
  14. Goek ON, Döring A, Gieger C, Heier M, Koenig W, Prehn C, Römisch-Margl W, Wang-Sattler R, Illig T, Suhre K, Sekula P, Zhai G, Adamski J, Köttgen A, Meisinger C. Serum Metabolite Concentrations and Decreased GFR in the General Population. Am J Kidney Dis., 60:197-206, 2012.
  15. Krug S, Kastenmüller G, Stückler F, Rist MJ, Skurk T, Sailer M, Raffler J, Römisch-Margl W, Adamski J, Prehn C, Frank T, Engel KH, Hofmann T, Luy B, Zimmermann R, Moritz F, Schmitt-Kopplin P, Krumsiek J, Kremer W, Huber F, Oeh U, Theis FJ, Szymczak W, Hauner H, Suhre K, Daniel H. The dynamic range of the human metabolome revealed by challenges. FASEB J., 26:2607-2619, 2012.
  16. Petersen AK, Stark K, Musameh MD, Nelson CP, Römisch-Margl W, Kremer W, Raffler J, Krug S, Skurk T, Rist MJ, Daniel H, Hauner H, Adamski J, Tomaszewski M, Döring A, Peters A, Wichmann HE, Kaess BM, Kalbitzer HR, Huber F, Pfahlert V, Samani NJ, Kronenberg F, Dieplinger H, Illig T, Hengstenberg C, Suhre K, Gieger C, Kastenmüller G. Genetic associations with lipoprotein subfractions provide information on their biological nature. Hum Mol Genet., 21:1433-1443, 2012.

2011

  1. Suhre K, Shin S-Y, Petersen A-K, Mohney RP, Meredith D, Wagele B, Altmaier E, CARDIoGRAM, Deloukas P, Erdmann J, Grundberg E, Hammond CJ, de Angelis MH, Kastenmüller G, Kottgen A, Kronenberg F, Mangino M, Meisinger C, Meitinger T, Mewes H-W, Milburn MV, Prehn C, Raffler J, Ried JS, Romisch-Margl W, Samani NJ, Small KS, Erich Wichmann H, Zhai G, Illig T, Spector TD, Adamski J, Soranzo N, Gieger C. Human metabolic individuality in biomedical and pharmaceutical research. Nature, 477:54-60, 2011.
  2. Schulz N, Himmelbauer H, Rath M, van Weeghel M, Houten S, Kulik W, Suhre K, Scherneck S, Vogel H, Kluge R, Wiedmer P, Joost HG, Schürmann A. Role of medium- and short-chain L-3-hydroxyacyl-CoA dehydrogenase in the regulation of body weight and thermogenesis. Endocrinology, 152:4641-4651, 2011. 
  3. Föhse L, Suffner J, Suhre K, Wahl B, Lindner C, Lee CW, Schmitz S, Haas JD, Lamprecht S, Koenecke C, Bleich A, Hämmerling GJ, Malissen B, Suerbaum S, Förster R, Prinz I. High TCR diversity ensures optimal function andhomeostasis of Foxp3+ regulatory T cells. European Journal of Immunology, 41:3101-3113, 2011.
  4. Nicholson G, Rantalainen M, Li JV, Maher AD, Malmodin D, Ahmadi KR, Faber JH, Barrett A, Min JL, Rayner NW, Toft H, Krestyaninova M, Viksna J, Neogi SG, Dumas ME, Sarkans U, Donnelly P, Illig T, Adamski J, Suhre K, Allen M, Zondervan KT, Spector TD, Nicholson JK, Lindon JC, Baunsgaard D, Holmes E, McCarthy MI, Holmes CC. A genome-wide metabolic QTL analysis in Europeans implicates two loci shaped by recent positive selection. Plos Genetics, 7(9):e1002270, 2012.
  5. Mittelstrass K, Ried JS, Yu Z, Krumsiek J, Gieger C, Prehn C, Röemisch-Margl W, Polonikov A, Peters A, Theis FJ, Meitinger T, Kronenberg F, Weidinger S, Wichmann HE, Suhre K, Wang-Sattler R, Adamski J, Illig T. Discovery of sexual dimorphisms in metabolic and genetic biomarkers. PLoS Genetics, 7:e1002215, 2011.
  6. Yu Z, Kastenmüler G, He Y, Belcredi P, Moller G, Prehn C, Mendes J, Wahl S, Röemisch-Margl W, Ceglarek U, Polonikov A, Dahmen N, Prokisch H, Xie L, Li Y, Wichmann HE, Peters A, Kronenberg F, Suhre K, Adamski J, Illig T, Wang-Sattler R. Differences between human plasma and serum metabolite profiles. PLoS One, 6:e21230, 2011.
  7. Fuchs H, Gailus-Durner V, Adler T, Aguilar-Pimentel JA, Becker L, Calzada-Wack J, Da Silva-Buttkus P, Neff F, Gotz A, Hans W, Holter SM, Horsch M, Kastenmuller G, Kemter E, Lengger C, Maier H, Matloka M, Moller G, Naton B, Prehn C, Puk O, Racz I, Rathkolb B, Romisch-Margl W, Rozman J, Wang-Sattler R, Schrewe A, Stoger C, Tost M, Adamski J, Aigner B, Beckers J, Behrendt H, Busch DH, Esposito I, Graw J, Illig T, Ivandic B, Klingenspor M, Klopstock T, Kremmer E, Mempel M, Neschen S, Ollert M, Schulz H, Suhre K, Wolf E, Wurst W, Zimmer A, Hrabe de Angelis M. Mouse phenotyping. Methods in Enzymology. 53:120-135, 2011.
  8. Suhre K., Wallaschofski H., RafflerJ., Friedrich N., Haring R., Michael K., Wasner C., Krebs A., Kronenberg F., Chang D., Meisinger C., Wichmann H.-E., Hoffmann W., Völzke H., Völker U., Teumer A., Biffar R., Kocher T., Felix S.B., Illig T., Kroemer H.K., GiegerC., Römisch-Margl W., Nauck M., A genome-wide association study of metabolic traits in human urine Nature Genetics, 43:565-569, 2011.
  9. Römisch-Margl W.,Prehn C., Bogumil R., Röhring C., Suhre K., Adamski J., A procedure for tissue sample preparation and metabolite extraction for high-throughput targeted metabolomics, Metabolomics, 2011:[10 pages]. Epub 2011 Mar 12.
  10. Suhre K., Römisch-Margl W., Hrabé de Angelis M., Adamski J., Luippold G., Augustin R.,Identification of a potential biomarker for FABP4 inhibition: the power of lipidomics in pre-clinical drug testing, Journal of Biomolecular Screening, Epub 4 May 2011.
  11. Krumsiek J., Suhre K., Illig T., Adamski J., Theis F.J., Gaussian graphical modeling reconstructs pathway reactions from high-throughput metabolomics data, BMC Systems Biology, 5:21, 2011.
  12. Mewes H.W., Ruepp A., Theis F., Rattei T., Walter M., Frishman D., Suhre K., Spannagl M., Mayer K.F., Stümpflen V., Antonov A.. MIPS: curated databases and comprehensive secondary data resources in 2010, Nucleic Acids Res., 39(Database issue):D220-224, 2011.
  13. Kastenmüller G., Römisch-Margl W., Wägele B., Altmaier E., Suhre K., metaP-Server: a web-based metabolomics data analysis tool, J. Biomedicine & Biotechnology, pii:839862, 2011.
  14. Altmaier E., Kastenmüller G., Römisch-Margl W., Thorand B., Weinberger K.M., Illig T., Adamski J., Döring A., Suhre K., Questionnaire-based self-reported nutrition habits associate with serum metabolism as revealed by quantitative targeted metabolomics, European Journal of Epidemiology, 26:145-156, 2011.

2010

  1. Suhre K., Meisinger C., Döring A., Altmaier E., Belcredi P., Gieger C., Chang D., Milburn M.V., Gall W.E., Weinberger K.M., Mewes H.-W., Hrabé de AngelisM., Wichmann H.E., Kronenberg F., Adamski J., Illig T., Metabolic Footprint of Diabetes: A Multiplatform Metabolomics Study in an Epidemiological Setting, PLoS ONE, 5:e13953, 2010.
  2. Weikard R., Altmaier E., Suhre K., Weinberger K.M., Hammon H.M., Albrecht E., Setoguchi K., Takasuga A., Kuehn C., Metabolomic profiles indicate distinct physiological pathways affected by two loci with major divergent effect on Bos taurus growth and lipid deposition, Physiol Genomics, 42A:79-88, 2010.
  3. Illig, T, Gieger, C, Zhai, G, Römisch-Margl, W, Wang-Sattler, R, Prehn, C, Altmaier, E, Kastenmüller, G, Kato, BS , Mewes, HW, Meitinger, T, Hrabé de Angelis, M, Kronenberg, F, Soranzo, N , Wichmann, HE, Spector, TD, Adamski, J, Suhre, K, A genome-wide perspective of genetic variation in human metabolism, Nature Genetics, 42:137-141, 2010, doi:10.1038/ng.507.

2009

  1. Altmaier, E, Kastenmüller, G, Römisch-Margl, W, Thorand, B, Weinberger, KM, Adamski, J, Illig, T, Döring, A, Suhre K, Variation in the human lipidome associated with coffee consumption as revealed by quantitative targeted metabolomics, Mol. Nutr. Food Res., 53:1357-1365, 2009 [PDF].
  2. Sigurdardottir, AG, Arnorsdottir, A, Thorbjarnardottir, SH, Eggertsson, G, Suhre K, Kristjansson, M, Characteristics of mutants designed to incorporate a new ion pair into the structure of a cold adapted subtilisin-like serine proteinase , Biochim. Biophys. Acta 1794:512-518, 2009.
  3. Suhre K, Gieger C, Eine genomweite Assoziationsstudie mit Stoffwechselprodukten , BioSpektrum03.09, 263-265, 2009.

2008

  1. Gieger, C, Geistlinger, L, Altmaier, E, Hrabé de Angelis, M, Kronenberg, F, Meitinger, T, Mewes, HW, Wichmann, HE, Weinberger, KM, Adamski, J, Illig, T, Suhre K, Genetics Meets Metabolomics: A Genome-Wide Association Study of Metabolite Profiles in Human Serum , PLoS GeneticsF1000_6, 4(11):e1000282, 2008. 
  2. Wang-Sattler, R, Yu, Y, Mittelstrass, K, Lattka, E, Altmaier, E, Gieger, C, Ladwig, KH, Dahmen, N, Weinberger, KM, Hao, P, Lui, L, Li, Y, Wichmann, HE, Adamski, J, Suhre K, Illig, T, Metabolic profiling reveals distinct variations linked to nicotine consumption in humans - first results from the KORA Study , PLoS One, 3(12):e3863, 2008.
  3. Fitzgerald LA, Boucher PT, Yanai-Balser G, Suhre K, Graves MV, and Van Etten JL, Putative gene promoter sequences in the chlorella viruses, Virology, 380:388-393, 2008.
  4. Altmaier E, Ramsay SL, Graber A, Mewes HW, Weinberger KM, Suhre K, Bioinformatics analysis of targeted metabolomics - uncovering old and new tales of diabetic mice under medication, Endocrinology, 149:3478-3489, 2008 [PDF].
  5. Suhre K and Schmitt-Kopplin P, MassTRIX: Mass TRanslator Into Pathways, Nucleic Acids Research, Volume 36, Web Server issue, W481-W484, 2008 [link to MassTRIX web-server].

2007

  1. Blanc G, Ogata H, Robert C, Audic S, Suhre K, Vestris G, Claverie JM, Raoult D, Reductive genome evolution from the mother of Rickettsia, PLoS Genet., 3(1):e14, 2007. [supplementary material].
  2. Suhre K, Inference of Gene Function Based on Gene Fusion Events. The Rosetta-Stone Method, Methods Mol Biol., 396:31-42, 2007.

2006

  1. Suhre K, Navaza J, and Sanejouand YH, NORMA: a tool for flexible fitting of high resolution protein structures into low resolution electron microscopy derived density maps, Acta Cryst. D, Vol. 62, pp. 1098-1100, 2006.
  2. O'Day DH, Suhre K, Myre MA, Chatterjee-Chakraborty M, and Chavez SE, Isolation, characterization and bioinformatic analysis of calmodulin binding protein cmbB reveals a novel tandem IP22 repeat common to many Dictyostelium and Mimivirus proteins, Biochemical and Biophysical Research Communications, 346:879-888, 2006.
  3. Betzi S, Suhre K, Chetrit B, Guerlesquin F, Morelli X, GFscore: A General Non-Linear Consensus Scoring Function for High-Throughput Docking, J. Chem. Inf. Model., 46:1704-1712, 2006.
  4. Bidaut G, Suhre K, Claverie JM, and Ochs MF, Determination of Strongly Overlapping Signaling Activity from Microarray Data, BMC Bioinformatics, 7:99, 2006.
  5. Claverie JM, Ogata O, Audic S, Abergel C, Suhre K, and Fournier PE. Mimivirus and the emerging concept of "giant" virus, Virus Research, 117:133-144, 2006; [reprint on ArXiv].
  6. Fournier PE, Suhre K, Fournous G, and Raoult D, Estimation of prokaryote genomic G+C content by sequencing universally conserved genes, International Journal of Systematic and Evolutionary Microbiology, 56:1025-1029, 2006.

2005

  1. Suhre K, Audic S, and Claverie JM, Mimivirus Gene Promoters Exhibit an Unprecedented Conservation among all Eukaryotes, PNAS, Vol. 102, 14689-14693, 2005. communique_presse
  2. Suhre K, Gene & Genome Duplication in Acanthamoeba Polyphaga Mimivirus, J. of Virology, 79, 14095-14101, 2005. [PDF, supplementary material]  JVI_spotlighthighlights
  3. Akif M, Suhre K, Verma C, and Mande SC, Conformational flexibility of Mycobacterium tuberculosis thioredoxin reductase: crystal structure and normal-mode analysis, Acta Cryst. D, Vol. 61, pp. 1603-1611, 2005. 
    Copyright © International Union of Crystallography
  4. Enault F, Suhre K, and Claverie JM, Phydbac "Gene Function predictor": a gene annotation tool based on genomic context analysis BMC Bioinformatics, 6, 247, 2005. highlyaccessed
  5. Tulet P, Crassier V, Cousin F, Suhre K, and Rosset R, ORILAM, A three moment lognormal aerosol scheme for mesoscale atmospheric model. On-line coupling into the Meso-NH-C model and validation on the Escompte campaign, J. Geophys. Res., 110, D18201, 2005.
  6. Crapoulet N, Renesto P, Dumler JS, Suhre K, Ogata H, Claverie J-M, and Raoult D, Tropheryma whipplei genome at the beginning of the post-genomic era., Current genomics, 6, 195-205, 2005.
  7. Ogata, H, Suhre K, and Claverie JM. Discovery of protein-coding palindromic repeats in Wolbachia, Trends in Microbiology, 13, 253-255, 2005.
  8. Abergel, C, Chenivesse S, Byrne D, Suhre K, Arondel V and Claverie JM. Mimivirus TyrRS: preliminary structural and functional characterisation of the first amino-acyl tRNA synthetase found in a virus., Acta Cryst. F, 2005. Vol. 61, pp. 212-215.
  9. Bidaut G, Suhre K, Claverie JM and Ochs MF. Bayesian decomposition analysis of bacterial phylogenomic profiles, American J. Pharmacogenomics, 5, 63-70, 2005.

2004

  1. O'Sullivan O, Suhre K, Abergel C, Higgins DG and Notredame C. Combining protein sequences and structures within multiple sequence alignments, J. Mol. Biol., 340, 385-395, 2004.
  2. Sollier J, Soustelle C, Suhre K, Nicolas A, Geli V and De La Roche Saint-Andre, C. Set1 is required for meiotic S phase onset, double-strand break formation and middle gene expression., EMBO journal, 23, 1957-1967, 2004.
  3. Suhre K and Sanejouand YH. ElNemo: a normal mode web-server for protein movement analysis and the generation of templates for molecular replacement., Nucleic Acids Research, 32, W610-W614, 2004.
  4. Poirot O, Suhre K, Abergel C, O'Toole E and Notredame C. 3DCoffee@igs: a web server for combining sequences and structures into a multiple sequence alignment., Nucleic Acids Research, 32, W37-W40, 2004.
  5. Enault F, Suhre K, Poirot O, Abergel C and Claverie JM. Phydbac2: improved inference of gene function using interactive phylogenomic profiling and chromosomal location analysis., Nucleic Acids Research, 32, W336-W339, 2004.
  6. Claude JB, Suhre K, Notredame C, Claverie JM and Abergel C. CaspR: a web-server for automated molecular replacement using homology modelling., Nucleic Acids Research, 32, W606-W609, 2004.
  7. Suhre K and Sanejouand YH. On the potential of normal mode analysis for solving difficult molecular replacement problems, Acta Cryst. D 2004. Vol. 60, pp. 796-799. 
    Copyright © International Union of Crystallography
  8. Suhre K and Claverie JM. FusionDB: a database for in-depth analysis of prokaryotic gene fusion events., Nucleic Acids Research, Vol. 32, pp. 273-276, 2004.
  9. Notredame C and Suhre K Computing multiple sequence/structure alignments with the T-Coffee package, Current Protocols in Bioinformatics, Unit 3.8, 2004.

2003

  1. Suhre K and Claverie JM. Genomic correlates of hyperthermostability: an update. J Biol Chem 2003. Vol. 278 pp. 17198-17202. F1000
  2. Enault F, Suhre K, Abergel C, Poirot O, Claverie JM. Annotation of bacterial genomes using improved phylogenomic profiles. Bioinformatics 2003. Vol. 19 Suppl. 1, pp. I105-I107.
  3. Enault F, Suhre K, Poirot O, Abergel C, Claverie JM. Phydbac (phylogenomic display of bacterial genes) : an interactive resource for the annotation of the bacterial genomes. Nucleic Acids Research 2003. Vol 31 pp. 3720-3722.
  4. Raoult D, Ogata H, Audic S, Robert C, Suhre K, Drancourt M, Claverie JM. Tropheryma whipplei Twist: a human pathogenic actinobacteria with a reduced genome. Genome Research 2003. Vol 13 pp. 1800-1809.
  5. Abergel C, Coutard B, Byrne D, Chenivesse S, Claude JB, Deregnaucourt C, Fricaux T, Gianesini-Boutreux C, Jeudy S, Lebrun R, Maza C, Notredame C, Poirot O, Suhre K, Varagnol M, Claverie JM. Structural genomics of highly conserved microbial genes of unknown function in search of new antibacterial targets. Journal of Structural and Functional Genomics 2003. Vol. 4 pp. 141-157.

2002

  1. Tulet P, Suhre K, Mari C, Solmon F, Rosset R. Mixing of boundary layer and upper tropospheric ozone during a deep convective event over Western Europe. Atmospheric Environment 2002. Vol. 36 pp. 4491-4501.

1994 - 2000

  1. 23 peer reviewed papers, incl. Nature, J. Geophys. Res., Tellus, ...
  2. (PDF-format) (HTML with abstracts) (HTML with keywords)

Theses

  1. K. Suhre, Nouvelles approches en génomique comparative et bio-informatique structurale : à la recherche de relations séquence-structure-fonction. Habilitation à diriger des recherches, Université Aix-Marseille II, France, 26 Oktober 2004.
  2. K. Suhre, Modelisation couplee du transport et de la chimie du dimethyl de soufre dans la couche limite marine nuageuse. Impact climatique et etude de processus. PhD thesis, Universite Paul Sabatier, Toulouse III, France, 28 March 1994.
  3. K. Suhre, Das Feld am Punkt im auesseren elektromagnetischen Feld. Diploma thesis, Universitaet Osnabrueck, Germany, June 1991.

Patent Applications

  1. K. Suhre, C. Gieger, PREDICTION OF LIPID-METABOTYPE-RELATED PHYSIOLOGICAL SUSCEPTIBILITIES (WO/2010/060996)
  2. M. Milburn, G. Kasenmueller, J. Krumsiek, K. Suhre, IDENTITY ELUCIDATION OF UNKNOWN METABOLITES (WO/2013/006278)