** = Publications listed in SCI/SSCI/Pubmed
** Diener, C; Holscher, HD; Filek, K; Corbin, KD; Moissl-Eichinger, C; Gibbons, SM
Metagenomic estimation of dietary intake from human stool.
Nat Metab. 2025;
Doi: 10.1038/s42255-025-01220-1
[OPEN ACCESS]
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** Quinn-Bohmann, N; Carr, AV; Diener, C; Gibbons, SM
Moving from genome-scale to community-scale metabolic models for the human gut microbiome.
Nat Microbiol. 2025;
Doi: 10.1038/s41564-025-01972-2
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** Diener, C; Holscher, HD; Filek, K; Corbin, KD; Moissl-Eichinger, C; Gibbons, SM
Author Correction: Metagenomic estimation of dietary intake from human stool.
Nat Metab. 2025; 7(3):633
Doi: 10.1038/s42255-025-01284-z
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** Tang, G; Carr, AV; Perez, C; Sarmiento, KR; Levy, L; Lampe, JW; Diener, C; Gibbons, SM
Metagenomic estimation of absolute bacterial biomass in the mammalian gut through host-derived read normalization.
bioRxiv. 2025;
Doi: 10.1101/2025.01.07.631807
[OPEN ACCESS]
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** Byrne, A; Diener, C; Brown, BP; Maust, BS; Feng, C; Alinde, BL; Gibbons, SM; Koch, M; Gray, CM; Jaspan, HB; Nyangahu, DD
Neonates exposed to HIV but uninfected exhibit an altered gut microbiota and inflammation associated with impaired breast milk antibody function.
Microbiome. 2024; 12(1): 261
Doi: 10.1186/s40168-024-01973-z
[OPEN ACCESS]
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** Johnson-Martínez, JP; Diener, C; Levine, AE; Wilmanski, T; Suskind, DL; Ralevski, A; Hadlock, J; Magis, AT; Hood, L; Rappaport, N; Gibbons, SM
Aberrant bowel movement frequencies coincide with increased microbe-derived blood metabolites associated with reduced organ function.
Cell Rep Med. 2024; 5(7): 101646
Doi: 10.1016/j.xcrm.2024.101646
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** Quinn-Bohmann, N; Freixas-Coutin, JA; Seo, J; Simmons, R; Diener, C; Gibbons, SM
Meta-analysis of the human upper respiratory tract microbiome reveals robust taxonomic associations with health and disease.
BMC Biol. 2024; 22(1): 93
Doi: 10.1186/s12915-024-01887-0
[OPEN ACCESS]
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** Quinn-Bohmann, N; Wilmanski, T; Sarmiento, KR; Levy, L; Lampe, JW; Gurry, T; Rappaport, N; Ostrem, EM; Venturelli, OS; Diener, C; Gibbons, SM
Microbial community-scale metabolic modelling predicts personalized short-chain fatty acid production profiles in the human gut.
Nat Microbiol. 2024;
Doi: 10.1038/s41564-024-01728-4
[OPEN ACCESS]
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** Sarmiento, KR; Carr, A; Diener, C; Locey, KJ; Gibbons, SM
Island biogeography theory provides a plausible explanation for why larger vertebrates and taller humans have more diverse gut microbiomes.
ISME J. 2024;
Doi: 10.1093/ismejo/wrae114
[OPEN ACCESS]
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** Sulaiman, JE; Thompson, J; Qian, Y; Vivas, EI; Diener, C; Gibbons, SM; Safdar, N; Venturelli, OS
Elucidating human gut microbiota interactions that robustly inhibit diverse Clostridioides difficile strains across different nutrient landscapes.
Nat Commun. 2024; 15(1): 7416
Doi: 10.1038/s41467-024-51062-w
[OPEN ACCESS]
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** Carr, A; Baliga, NS; Diener, C; Gibbons, SM
Personalized Clostridioides difficile engraftment risk prediction and probiotic therapy assessment in the human gut.
bioRxiv. 2024;
Doi: 10.1101/2023.04.28.538771
[OPEN ACCESS]
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** Diener, C; Gibbons, SM
Metagenomic estimation of dietary intake from human stool.
bioRxiv. 2024;
Doi: 10.1101/2024.02.02.578701
[OPEN ACCESS]
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** Happel, AU; Rametse, L; Perumaul, B; Diener, C; Gibbons, SM; Nyangahu, DD; Donald, KA; Gray, C; Jaspan, HB
Bifidobacterium infantis supplementation versus placebo in early life to improve immunity in infants exposed to HIV: a protocol for a randomized trial.
BMC Complement Med Ther. 2023; 23(1): 367
Doi: 10.1186/s12906-023-04208-0
[OPEN ACCESS]
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** Lim, JJ; Diener, C; Wilson, J; Valenzuela, JJ; Baliga, NS; Gibbons, SM
Growth phase estimation for abundant bacterial populations sampled longitudinally from human stool metagenomes.
Nat Commun. 2023; 14(1): 5682
Doi: 10.1038/s41467-023-41424-1
[OPEN ACCESS]
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** Marcelino, VR; Welsh, C; Diener, C; Gulliver, EL; Rutten, EL; Young, RB; Giles, EM; Gibbons, SM; Greening, C; Forster, SC
Disease-specific loss of microbial cross-feeding interactions in the human gut.
Nat Commun. 2023; 14(1): 6546
Doi: 10.1038/s41467-023-42112-w
[OPEN ACCESS]
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** Watanabe, K; Wilmanski, T; Diener, C; Earls, JC; Zimmer, A; Lincoln, B; Hadlock, JJ; Lovejoy, JC; Gibbons, SM; Magis, AT; Hood, L; Price, ND; Rappaport, N
Multiomic signatures of body mass index identify heterogeneous health phenotypes and responses to a lifestyle intervention.
Nat Med. 2023; 29(4): 996-1008.
Doi: 10.1038/s41591-023-02248-0
[OPEN ACCESS]
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** Diener, C; Gibbons, SM
Coarse graining the human gut microbiome.
Cell Host Microbe. 2023; 31(7): 1076-1078.
Doi: 10.1016/j.chom.2023.06.001
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** Diener, C; Gibbons, SM
More is Different: Metabolic Modeling of Diverse Microbial Communities.
mSystems. 2023; 8(2): e0127022
Doi: 10.1128/msystems.01270-22
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** Johnson, JP; Diener, C; Levine, AE; Wilmanski, T; Suskind, DL; Ralevski, A; Hadlock, J; Magis, AT; Hood, L; Rappaport, N; Gibbons, SM
Generally-healthy individuals with aberrant bowel movement frequencies show enrichment for microbially-derived blood metabolites associated with impaired kidney function.
bioRxiv. 2023;
Doi: 10.1101/2023.03.04.531100
[OPEN ACCESS]
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** Quinn-Bohmann, N; Wilmanski, T; Sarmiento, KR; Levy, L; Lampe, JW; Gurry, T; Rappaport, N; Ostrem, EM; Venturelli, OS; Diener, C; Gibbons, SM
Microbial community-scale metabolic modeling predicts personalized short chain fatty acid production profiles in the human gut.
bioRxiv. 2023;
Doi: 10.1101/2023.02.28.530516
[OPEN ACCESS]
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** Sarmiento, KR; Carr, A; Diener, C; Locey, KJ; Gibbons, SM
Island biogeography theory and the gut: why taller people tend to harbor more diverse gut microbiomes.
bioRxiv. 2023;
Doi: 10.1101/2023.08.08.552554
[OPEN ACCESS]
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** Diener, C; Dai, CL; Wilmanski, T; Baloni, P; Smith, B; Rappaport, N; Hood, L; Magis, AT; Gibbons, SM
Genome-microbiome interplay provides insight into the determinants of the human blood metabolome.
Nat Metab. 2022; 4(11): 1560-1572.
Doi: 10.1038/s42255-022-00670-1
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** Wilmanski, T; Kornilov, SA; Diener, C; Conomos, MP; Lovejoy, JC; Sebastiani, P; Orwoll, ES; Hood, L; Price, ND; Rappaport, N; Magis, AT; Gibbons, SM
Heterogeneity in statin responses explained by variation in the human gut microbiome.
Med. 2022; 3(6): 388-405.e6.
Doi: 10.1016/j.medj.2022.04.007
[OPEN ACCESS]
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** Ng, RH; Lee, JW; Baloni, P; Diener, C; Heath, JR; Su, Y
Constraint-Based Reconstruction and Analyses of Metabolic Models: Open-Source Python Tools and Applications to Cancer.
Front Oncol. 2022; 12: 914594
Doi: 10.3389/fonc.2022.914594
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** Day, JA; Diener, C; Otwell, AE; Tams, KE; Bebout, B; Detweiler, AM; Lee, MD; Scott, MT; Ta, W; Ha, M; Carreon, SA; Tong, K; Ali, AA; Gibbons, SM; Baliga, NS
Lettuce (Lactuca sativa) productivity influenced by microbial inocula under nitrogen-limited conditions in aquaponics.
PLoS One. 2021; 16(2): e0247534
Doi: 10.1371/journal.pone.0247534
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** Diener, C; Hoge, ACH; Kearney, SM; Kusebauch, U; Patwardhan, S; Moritz, RL; Erdman, SE; Gibbons, SM
Non-responder phenotype reveals apparent microbiome-wide antibiotic tolerance in the murine gut.
Commun Biol. 2021; 4(1): 316
Doi: 10.1038/s42003-021-01841-8
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** Diener, C; Qin, S; Zhou, Y; Patwardhan, S; Tang, L; Lovejoy, JC; Magis, AT; Price, ND; Hood, L; Gibbons, SM
Baseline Gut Metagenomic Functional Gene Signature Associated with Variable Weight Loss Responses following a Healthy Lifestyle Intervention in Humans.
mSystems. 2021; 6(5): e0096421
Doi: 10.1128/mSystems.00964-21
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** Diener, C; Reyes-Escogido, ML; Jimenez-Ceja, LM; Matus, M; Gomez-Navarro, CM; Chu, ND; Zhong, V; Tejero, ME; Alm, E; Resendis-Antonio, O; Guardado-Mendoza, R
Progressive Shifts in the Gut Microbiome Reflect Prediabetes and Diabetes Development in a Treatment-Naive Mexican Cohort.
Front Endocrinol (Lausanne). 2020; 11: 602326
Doi: 10.3389/fendo.2020.602326
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** Kordahi, MC; Stanaway, IB; Avril, M; Chac, D; Blanc, MP; Ross, B; Diener, C; Jain, S; McCleary, P; Parker, A; Friedman, V; Huang, J; Burke, W; Gibbons, SM; Willis, AD; Darveau, RP; Grady, WM; Ko, CW; DePaolo, RW
Genomic and functional characterization of a mucosal symbiont involved in early-stage colorectal cancer.
Cell Host Microbe. 2021; 29(10): 1589-1598.e6.
Doi: 10.1016/j.chom.2021.08.013
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** Wilmanski, T; Diener, C; Rappaport, N; Patwardhan, S; Wiedrick, J; Lapidus, J; Earls, JC; Zimmer, A; Glusman, G; Robinson, M; Yurkovich, JT; Kado, DM; Cauley, JA; Zmuda, J; Lane, NE; Magis, AT; Lovejoy, JC; Hood, L; Gibbons, SM; Orwoll, ES; Price, ND
Gut microbiome pattern reflects healthy ageing and predicts survival in humans.
Nat Metab. 2021; 3(2): 274-286.
Doi: 10.1038/s42255-021-00348-0
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** Wilmanski, T; Rappaport, N; Diener, C; Gibbons, SM; Price, ND
From taxonomy to metabolic output: what factors define gut microbiome health?
Gut Microbes. 2021; 13(1): 1-20.
Doi: 10.1080/19490976.2021.1907270
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** Wilmanski, T; Diener, C; Rappaport, N; Patwardhan, S; Wiedrick, J; Lapidus, J; Earls, JC; Zimmer, A; Glusman, G; Robinson, M; Yurkovich, JT; Kado, DM; Cauley, JA; Zmuda, J; Lane, NE; Magis, AT; Lovejoy, JC; Hood, L; Gibbons, SM; Orwoll, ES; Price, ND
Author Correction: Gut microbiome pattern reflects healthy ageing and predicts survival in humans.
Nat Metab. 2021; 3(4): 586
Doi: 10.1038/s42255-021-00377-9
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** Diener, C; Gibbons, SM; Resendis-Antonio, O
MICOM: Metagenome-Scale Modeling To Infer Metabolic Interactions in the Gut Microbiota.
mSystems. 2020; 5(1):
Doi: 10.1128/mSystems.00606-19
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** Peláez, Coyotl, EA; Barrios, Palacios, J; Muciño, G; Moreno-Blas, D; Costas, M; Montiel, Montes, T; Diener, C; Uribe-Carvajal, S; Massieu, L; Castro-Obregón, S; Espinosa, OR; Mata, Espinosa, D; Barrios-Payan, J; León, Contreras, JC; Corzo, G; Hernández-Pando, R; Del, Rio, G
Antimicrobial Peptide against Mycobacterium Tuberculosis That Activates Autophagy Is an Effective Treatment for Tuberculosis.
Pharmaceutics. 2020; 12(11):
Doi: 10.3390/pharmaceutics12111071
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** Lieven, C; Beber, ME; Olivier, BG; Bergmann, FT; Ataman, M; Babaei, P; Bartell, JA; Blank, LM; Chauhan, S; Correia, K; Diener, C; Dräger, A; Ebert, BE; Edirisinghe, JN; Faria, JP; Feist, AM; Fengos, G; Fleming, RMT; García-Jiménez, B; Hatzimanikatis, V; van, Helvoirt, W; Henry, CS; Hermjakob, H; Herrgård, MJ; Kaafarani, A; Kim, HU; King, Z; Klamt, S; Klipp, E; Koehorst, JJ; König, M; Lakshmanan, M; Lee, DY; Lee, SY; Lee, S; Lewis, NE; Liu, F; Ma, H; Machado, D; Mahadevan, R; Maia, P; Mardinoglu, A; Medlock, GL; Monk, JM; Nielsen, J; Nielsen, LK; Nogales, J; Nookaew, I; Palsson, BO; Papin, JA; Patil, KR; Poolman, M; Price, ND; Resendis-Antonio, O; Richelle, A; Rocha, I; Sánchez, BJ; Schaap, PJ; Malik, Sheriff, RS; Shoaie, S; Sonnenschein, N; Teusink, B; Vilaça, P; Vik, JO; Wodke, JAH; Xavier, JC; Yuan, Q; Zakhartsev, M; Zhang, C
MEMOTE for standardized genome-scale metabolic model testing.
Nat Biotechnol. 2020; 38(3): 272-276.
Doi: 10.1038/s41587-020-0446-y
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** Lieven, C; Beber, ME; Olivier, BG; Bergmann, FT; Ataman, M; Babaei, P; Bartell, JA; Blank, LM; Chauhan, S; Correia, K; Diener, C; Dräger, A; Ebert, BE; Edirisinghe, JN; Faria, JP; Feist, AM; Fengos, G; Fleming, RMT; García-Jiménez, B; Hatzimanikatis, V; van, Helvoirt, W; Henry, CS; Hermjakob, H; Herrgård, MJ; Kaafarani, A; Kim, HU; King, Z; Klamt, S; Klipp, E; Koehorst, JJ; König, M; Lakshmanan, M; Lee, DY; Lee, SY; Lee, S; Lewis, NE; Liu, F; Ma, H; Machado, D; Mahadevan, R; Maia, P; Mardinoglu, A; Medlock, GL; Monk, JM; Nielsen, J; Nielsen, LK; Nogales, J; Nookaew, I; Palsson, BO; Papin, JA; Patil, KR; Poolman, M; Price, ND; Resendis-Antonio, O; Richelle, A; Rocha, I; Sánchez, BJ; Schaap, PJ; Sheriff, RSM; Shoaie, S; Sonnenschein, N; Teusink, B; Vilaça, P; Vik, JO; Wodke, JAH; Xavier, JC; Yuan, Q; Zakhartsev, M; Zhang, C
Publisher Correction: MEMOTE for standardized genome-scale metabolic model testing.
Nat Biotechnol. 2020; 38(4): 504
Doi: 10.1038/s41587-020-0477-4
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** Bolyen, E; Rideout, JR; Dillon, MR; Bokulich, NA; Abnet, CC; Al-Ghalith, GA; Alexander, H; Alm, EJ; Arumugam, M; Asnicar, F; Bai, Y; Bisanz, JE; Bittinger, K; Brejnrod, A; Brislawn, CJ; Brown, CT; Callahan, BJ; Caraballo-Rodríguez, AM; Chase, J; Cope, EK; Da, Silva, R; Diener, C; Dorrestein, PC; Douglas, GM; Durall, DM; Duvallet, C; Edwardson, CF; Ernst, M; Estaki, M; Fouquier, J; Gauglitz, JM; Gibbons, SM; Gibson, DL; Gonzalez, A; Gorlick, K; Guo, J; Hillmann, B; Holmes, S; Holste, H; Huttenhower, C; Huttley, GA; Janssen, S; Jarmusch, AK; Jiang, L; Kaehler, BD; Kang, KB; Keefe, CR; Keim, P; Kelley, ST; Knights, D; Koester, I; Kosciolek, T; Kreps, J; Langille, MGI; Lee, J; Ley, R; Liu, YX; Loftfield, E; Lozupone, C; Maher, M; Marotz, C; Martin, BD; McDonald, D; McIver, LJ; Melnik, AV; Metcalf, JL; Morgan, SC; Morton, JT; Naimey, AT; Navas-Molina, JA; Nothias, LF; Orchanian, SB; Pearson, T; Peoples, SL; Petras, D; Preuss, ML; Pruesse, E; Rasmussen, LB; Rivers, A; Robeson, MS; Rosenthal, P; Segata, N; Shaffer, M; Shiffer, A; Sinha, R; Song, SJ; Spear, JR; Swafford, AD; Thompson, LR; Torres, PJ; Trinh, P; Tripathi, A; Turnbaugh, PJ; Ul-Hasan, S; van, der, Hooft, JJJ; Vargas, F; Vázquez-Baeza, Y; Vogtmann, E; von, Hippel, M; Walters, W; Wan, Y; Wang, M; Warren, J; Weber, KC; Williamson, CHD; Willis, AD; Xu, ZZ; Zaneveld, JR; Zhang, Y; Zhu, Q; Knight, R; Caporaso, JG
Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2.
Nat Biotechnol. 2019; 37(8): 852-857.
Doi: 10.1038/s41587-019-0209-9
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** Carr, A; Diener, C; Baliga, NS; Gibbons, SM
Use and abuse of correlation analyses in microbial ecology.
ISME J. 2019; 13(11): 2647-2655.
Doi: 10.1038/s41396-019-0459-z
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** Bolyen, E; Rideout, JR; Dillon, MR; Bokulich, NA; Abnet, CC; Al-Ghalith, GA; Alexander, H; Alm, EJ; Arumugam, M; Asnicar, F; Bai, Y; Bisanz, JE; Bittinger, K; Brejnrod, A; Brislawn, CJ; Brown, CT; Callahan, BJ; Caraballo-Rodríguez, AM; Chase, J; Cope, EK; Da, Silva, R; Diener, C; Dorrestein, PC; Douglas, GM; Durall, DM; Duvallet, C; Edwardson, CF; Ernst, M; Estaki, M; Fouquier, J; Gauglitz, JM; Gibbons, SM; Gibson, DL; Gonzalez, A; Gorlick, K; Guo, J; Hillmann, B; Holmes, S; Holste, H; Huttenhower, C; Huttley, GA; Janssen, S; Jarmusch, AK; Jiang, L; Kaehler, BD; Kang, KB; Keefe, CR; Keim, P; Kelley, ST; Knights, D; Koester, I; Kosciolek, T; Kreps, J; Langille, MGI; Lee, J; Ley, R; Liu, YX; Loftfield, E; Lozupone, C; Maher, M; Marotz, C; Martin, BD; McDonald, D; McIver, LJ; Melnik, AV; Metcalf, JL; Morgan, SC; Morton, JT; Naimey, AT; Navas-Molina, JA; Nothias, LF; Orchanian, SB; Pearson, T; Peoples, SL; Petras, D; Preuss, ML; Pruesse, E; Rasmussen, LB; Rivers, A; Robeson, MS; Rosenthal, P; Segata, N; Shaffer, M; Shiffer, A; Sinha, R; Song, SJ; Spear, JR; Swafford, AD; Thompson, LR; Torres, PJ; Trinh, P; Tripathi, A; Turnbaugh, PJ; Ul-Hasan, S; van, der, Hooft, JJJ; Vargas, F; Vázquez-Baeza, Y; Vogtmann, E; von, Hippel, M; Walters, W; Wan, Y; Wang, M; Warren, J; Weber, KC; Williamson, CHD; Willis, AD; Xu, ZZ; Zaneveld, JR; Zhang, Y; Zhu, Q; Knight, R; Caporaso, JG
Author Correction: Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2.
Nat Biotechnol. 2019; 37(9): 1091
Doi: 10.1038/s41587-019-0252-6
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** Hale, VL; Jeraldo, P; Chen, J; Mundy, M; Yao, J; Priya, S; Keeney, G; Lyke, K; Ridlon, J; White, BA; French, AJ; Thibodeau, SN; Diener, C; Resendis-Antonio, O; Gransee, J; Dutta, T; Petterson, XM; Sung, J; Blekhman, R; Boardman, L; Larson, D; Nelson, H; Chia, N
Distinct microbes, metabolites, and ecologies define the microbiome in deficient and proficient mismatch repair colorectal cancers.
Genome Med. 2018; 10(1): 78
Doi: 10.1186/s13073-018-0586-6
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** Hale, VL; Jeraldo, P; Mundy, M; Yao, J; Keeney, G; Scott, N; Cheek, EH; Davidson, J; Greene, M; Martinez, C; Lehman, J; Pettry, C; Reed, E; Lyke, K; White, BA; Diener, C; Resendis-Antonio, O; Gransee, J; Dutta, T; Petterson, XM; Boardman, L; Larson, D; Nelson, H; Chia, N
Synthesis of multi-omic data and community metabolic models reveals insights into the role of hydrogen sulfide in colon cancer.
Methods. 2018; 149: 59-68.
Doi: 10.1016/j.ymeth.2018.04.024
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** Resendis-Antonio, O; Diener, C
Editorial: Systems Biology and the Challenge of Deciphering the Metabolic Mechanisms Underlying Cancer.
Front Physiol. 2017; 8: 537
Doi: 10.3389/fphys.2017.00537
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** Diener, C; Garza, Ramos, Martínez, G; Moreno, Blas, D; Castillo, González, DA; Corzo, G; Castro-Obregon, S; Del, Rio, G
Effective Design of Multifunctional Peptides by Combining Compatible Functions.
PLoS Comput Biol. 2016; 12(4): e1004786
Doi: 10.1371/journal.pcbi.1004786
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** Diener, C; Muñoz-Gonzalez, F; Encarnación, S; Resendis-Antonio, O
The space of enzyme regulation in HeLa cells can be inferred from its intracellular metabolome.
Sci Rep. 2016; 6: 28415
Doi: 10.1038/srep28415
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** Diener, C; Resendis-Antonio, O
Personalized Prediction of Proliferation Rates and Metabolic Liabilities in Cancer Biopsies.
Front Physiol. 2016; 7: 644
Doi: 10.3389/fphys.2016.00644
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** Diener, C; Schreiber, G; Giese, W; del, Rio, G; Schröder, A; Klipp, E
Yeast mating and image-based quantification of spatial pattern formation.
PLoS Comput Biol. 2014; 10(6): e1003690
Doi: 10.1371/journal.pcbi.1003690
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** Rodriguez, Plaza, JG; Morales-Nava, R; Diener, C; Schreiber, G; Gonzalez, ZD; Lara, Ortiz, MT; Ortega, Blake, I; Pantoja, O; Volkmer, R; Klipp, E; Herrmann, A; Del, Rio, G
Cell penetrating peptides and cationic antibacterial peptides: two sides of the same coin.
J Biol Chem. 2014; 289(21): 14448-57.
Doi: 10.1074/jbc.M113.515023
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** Rubelt, F; Sievert, V; Knaust, F; Diener, C; Lim, TS; Skriner, K; Klipp, E; Reinhardt, R; Lehrach, H; Konthur, Z
Onset of immune senescence defined by unbiased pyrosequencing of human immunoglobulin mRNA repertoires.
PLoS One. 2012; 7(11): e49774
Doi: 10.1371/journal.pone.0049774
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** Barberis, M; Beck, C; Amoussouvi, A; Schreiber, G; Diener, C; Herrmann, A; Klipp, E
A low number of SIC1 mRNA molecules ensures a low noise level in cell cycle progression of budding yeast.
Mol Biosyst. 2011; 7(10): 2804-12.
Doi: 10.1039/c1mb05073g
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** Spiesser, TW; Diener, C; Barberis, M; Klipp, E
What influences DNA replication rate in budding yeast?
PLoS One. 2010; 5(4): e10203
Doi: 10.1371/journal.pone.0010203
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