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Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3-90 years.

Human brain mapping

Frangou S, Modabbernia A, Williams SCR, Papachristou E, Doucet GE, Agartz I, Aghajani M, Akudjedu TN, Albajes-Eizagirre A, Alnaes D, Alpert KI, Andersson M, Andreasen NC, Andreassen OA, Asherson P, Banaschewski T, Bargallo N, Baumeister S, Baur-Streubel R, Bertolino A, Bonvino A, Boomsma DI, Borgwardt S, Bourque J, Brandeis D, Breier A, Brodaty H, Brouwer RM, Buitelaar JK, Busatto GF, Buckner RL, Calhoun V, Canales-Rodríguez EJ, Cannon DM, Caseras X, Castellanos FX, Cervenka S, Chaim-Avancini TM, Ching CRK, Chubar V, Clark VP, Conrod P, Conzelmann A, Crespo-Facorro B, Crivello F, Crone EA, Dale AM, Dannlowski U, Davey C, de Geus EJC, de Haan L, de Zubicaray GI, den Braber A, Dickie EW, Di Giorgio A, Doan NT, Dørum ES, Ehrlich S, Erk S, Espeseth T, Fatouros-Bergman H, Fisher SE, Fouche JP, Franke B, Frodl T, Fuentes-Claramonte P, Glahn DC, Gotlib IH, Grabe HJ, Grimm O, Groenewold NA, Grotegerd D, Gruber O, Gruner P, Gur RE, Gur RC, Hahn T, Harrison BJ, Hartman CA, Hatton SN, Heinz A, Heslenfeld DJ, Hibar DP, Hickie IB, Ho BC, Hoekstra PJ, Hohmann S, Holmes AJ, Hoogman M, Hosten N, Howells FM, Hulshoff Pol HE, Huyser C, Jahanshad N, James A, Jernigan TL, Jiang J, Jönsson EG, Joska JA, Kahn R, Kalnin A, Kanai R, Klein M, Klyushnik TP, Koenders L, Koops S, Krämer B, Kuntsi J, Lagopoulos J, Lázaro L, Lebedeva I, Lee WH, Lesch KP, Lochner C, Machielsen MWJ, Maingault S, Martin NG, Martínez-Zalacaín I, Mataix-Cols D, Mazoyer B, McDonald C, McDonald BC, McIntosh AM, McMahon KL, McPhilemy G, Meinert S, Menchón JM, Medland SE, Meyer-Lindenberg A, Naaijen J, Najt P, Nakao T, Nordvik JE, Nyberg L, Oosterlaan J, de la Foz VO, Paloyelis Y, Pauli P, Pergola G, Pomarol-Clotet E, Portella MJ, Potkin SG, Radua J, Reif A, Rinker DA, Roffman JL, Rosa PGP, Sacchet MD, Sachdev PS, Salvador R, Sánchez-Juan P, Sarró S, Satterthwaite TD, Saykin AJ, Serpa MH, Schmaal L, Schnell K, Schumann G, Sim K, Smoller JW, Sommer I, Soriano-Mas C, Stein DJ, Strike LT, Swagerman SC, Tamnes CK, Temmingh HS, Thomopoulos SI, Tomyshev AS, Tordesillas-Gutiérrez D, Trollor JN, Turner JA, Uhlmann A, van den Heuvel OA, van den Meer D, van der Wee NJA, van Haren NEM, van 't Ent D, van Erp TGM, Veer IM, Veltman DJ, Voineskos A, Völzke H, Walter H, Walton E, Wang L, Wang Y, Wassink TH, Weber B, Wen W, West JD, Westlye LT, Whalley H, Wierenga LM, Wittfeld K, Wolf DH, Worker A, Wright MJ, Yang K, Yoncheva Y, Zanetti MV, Ziegler GC, Thompson PM, Dima D.
PMID: 33595143
Hum Brain Mapp. 2022 Jan;43(1):431-451. doi: 10.1002/hbm.25364. Epub 2021 Feb 17.

Delineating the association of age and cortical thickness in healthy individuals is critical given the association of cortical thickness with cognition and behavior. Previous research has shown that robust estimates of the association between age and brain morphometry require...

Cite
Frangou S, Modabbernia A, Williams SCR, et al. Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3-90 years. Hum Brain Mapp. 2021;43(1):431-451doi: 10.1002/hbm.25364.
Frangou, S., Modabbernia, A., Williams, S. C. R., Papachristou, E., Doucet, G. E., Agartz, I., Aghajani, M., Akudjedu, T. N., Albajes-Eizagirre, A., Alnaes, D., Alpert, K. I., Andersson, M., Andreasen, N. C., Andreassen, O. A., Asherson, P., Banaschewski, T., Bargallo, N., Baumeister, S., Baur-Streubel, R., Bertolino, A., Bonvino, A., Boomsma, D. I., Borgwardt, S., Bourque, J., Brandeis, D., Breier, A., Brodaty, H., Brouwer, R. M., Buitelaar, J. K., Busatto, G. F., Buckner, R. L., Calhoun, V., Canales-Rodríguez, E. J., Cannon, D. M., Caseras, X., Castellanos, F. X., Cervenka, S., Chaim-Avancini, T. M., Ching, C. R. K., Chubar, V., Clark, V. P., Conrod, P., Conzelmann, A., Crespo-Facorro, B., Crivello, F., Crone, E. A., Dale, A. M., Dannlowski, U., Davey, C., de Geus, E. J. C., de Haan, L., de Zubicaray, G. I., den Braber, A., Dickie, E. W., Di Giorgio, A., Doan, N. T., Dørum, E. S., Ehrlich, S., Erk, S., Espeseth, T., Fatouros-Bergman, H., Fisher, S. E., Fouche, J. P., Franke, B., Frodl, T., Fuentes-Claramonte, P., Glahn, D. C., Gotlib, I. H., Grabe, H. J., Grimm, O., Groenewold, N. A., Grotegerd, D., Gruber, O., Gruner, P., Gur, R. E., Gur, R. C., Hahn, T., Harrison, B. J., Hartman, C. A., Hatton, S. N., Heinz, A., Heslenfeld, D. J., Hibar, D. P., Hickie, I. B., Ho, B. C., Hoekstra, P. J., Hohmann, S., Holmes, A. J., Hoogman, M., Hosten, N., Howells, F. M., Hulshoff Pol, H. E., Huyser, C., Jahanshad, N., James, A., Jernigan, T. L., Jiang, J., Jönsson, E. G., Joska, J. A., Kahn, R., Kalnin, A., Kanai, R., Klein, M., Klyushnik, T. P., Koenders, L., Koops, S., Krämer, B., Kuntsi, J., Lagopoulos, J., Lázaro, L., Lebedeva, I., Lee, W. H., Lesch, K. P., Lochner, C., Machielsen, M. W. J., Maingault, S., Martin, N. G., Martínez-Zalacaín, I., Mataix-Cols, D., Mazoyer, B., McDonald, C., McDonald, B. C., McIntosh, A. M., McMahon, K. L., McPhilemy, G., Meinert, S., Menchón, J. M., Medland, S. E., Meyer-Lindenberg, A., Naaijen, J., Najt, P., Nakao, T., Nordvik, J. E., Nyberg, L., Oosterlaan, J., de la Foz, V. O., Paloyelis, Y., Pauli, P., Pergola, G., Pomarol-Clotet, E., Portella, M. J., Potkin, S. G., Radua, J., Reif, A., Rinker, D. A., Roffman, J. L., Rosa, P. G. P., Sacchet, M. D., Sachdev, P. S., Salvador, R., Sánchez-Juan, P., Sarró, S., Satterthwaite, T. D., Saykin, A. J., Serpa, M. H., Schmaal, L., Schnell, K., Schumann, G., Sim, K., Smoller, J. W., Sommer, I., Soriano-Mas, C., Stein, D. J., Strike, L. T., Swagerman, S. C., Tamnes, C. K., Temmingh, H. S., Thomopoulos, S. I., Tomyshev, A. S., Tordesillas-Gutiérrez, D., Trollor, J. N., Turner, J. A., Uhlmann, A., van den Heuvel, O. A., van den Meer, D., van der Wee, N. J. A., van Haren, N. E. M., van 't Ent, D., van Erp, T. G. M., Veer, I. M., Veltman, D. J., Voineskos, A., Völzke, H., Walter, H., Walton, E., Wang, L., Wang, Y., Wassink, T. H., Weber, B., Wen, W., West, J. D., Westlye, L. T., Whalley, H., Wierenga, L. M., Wittfeld, K., Wolf, D. H., Worker, A., Wright, M. J., Yang, K., Yoncheva, Y., Zanetti, M. V., Ziegler, G. C., Thompson, P. M., & Dima, D. (2022). Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3-90 years. Human brain mapping, 43(1), 431-451. https://doi.org/10.1002/hbm.25364
Frangou, Sophia, et al. "Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3-90 years." Human brain mapping vol. 43,1 (2022): 431-451. doi: https://doi.org/10.1002/hbm.25364
Frangou S, Modabbernia A, Williams SCR, Papachristou E, Doucet GE, Agartz I, Aghajani M, Akudjedu TN, Albajes-Eizagirre A, Alnaes D, Alpert KI, Andersson M, Andreasen NC, Andreassen OA, Asherson P, Banaschewski T, Bargallo N, Baumeister S, Baur-Streubel R, Bertolino A, Bonvino A, Boomsma DI, Borgwardt S, Bourque J, Brandeis D, Breier A, Brodaty H, Brouwer RM, Buitelaar JK, Busatto GF, Buckner RL, Calhoun V, Canales-Rodríguez EJ, Cannon DM, Caseras X, Castellanos FX, Cervenka S, Chaim-Avancini TM, Ching CRK, Chubar V, Clark VP, Conrod P, Conzelmann A, Crespo-Facorro B, Crivello F, Crone EA, Dale AM, Dannlowski U, Davey C, de Geus EJC, de Haan L, de Zubicaray GI, den Braber A, Dickie EW, Di Giorgio A, Doan NT, Dørum ES, Ehrlich S, Erk S, Espeseth T, Fatouros-Bergman H, Fisher SE, Fouche JP, Franke B, Frodl T, Fuentes-Claramonte P, Glahn DC, Gotlib IH, Grabe HJ, Grimm O, Groenewold NA, Grotegerd D, Gruber O, Gruner P, Gur RE, Gur RC, Hahn T, Harrison BJ, Hartman CA, Hatton SN, Heinz A, Heslenfeld DJ, Hibar DP, Hickie IB, Ho BC, Hoekstra PJ, Hohmann S, Holmes AJ, Hoogman M, Hosten N, Howells FM, Hulshoff Pol HE, Huyser C, Jahanshad N, James A, Jernigan TL, Jiang J, Jönsson EG, Joska JA, Kahn R, Kalnin A, Kanai R, Klein M, Klyushnik TP, Koenders L, Koops S, Krämer B, Kuntsi J, Lagopoulos J, Lázaro L, Lebedeva I, Lee WH, Lesch KP, Lochner C, Machielsen MWJ, Maingault S, Martin NG, Martínez-Zalacaín I, Mataix-Cols D, Mazoyer B, McDonald C, McDonald BC, McIntosh AM, McMahon KL, McPhilemy G, Meinert S, Menchón JM, Medland SE, Meyer-Lindenberg A, Naaijen J, Najt P, Nakao T, Nordvik JE, Nyberg L, Oosterlaan J, de la Foz VO, Paloyelis Y, Pauli P, Pergola G, Pomarol-Clotet E, Portella MJ, Potkin SG, Radua J, Reif A, Rinker DA, Roffman JL, Rosa PGP, Sacchet MD, Sachdev PS, Salvador R, Sánchez-Juan P, Sarró S, Satterthwaite TD, Saykin AJ, Serpa MH, Schmaal L, Schnell K, Schumann G, Sim K, Smoller JW, Sommer I, Soriano-Mas C, Stein DJ, Strike LT, Swagerman SC, Tamnes CK, Temmingh HS, Thomopoulos SI, Tomyshev AS, Tordesillas-Gutiérrez D, Trollor JN, Turner JA, Uhlmann A, van den Heuvel OA, van den Meer D, van der Wee NJA, van Haren NEM, van 't Ent D, van Erp TGM, Veer IM, Veltman DJ, Voineskos A, Völzke H, Walter H, Walton E, Wang L, Wang Y, Wassink TH, Weber B, Wen W, West JD, Westlye LT, Whalley H, Wierenga LM, Wittfeld K, Wolf DH, Worker A, Wright MJ, Yang K, Yoncheva Y, Zanetti MV, Ziegler GC, Thompson PM, Dima D. Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3-90 years. Hum Brain Mapp. 2022 Jan;43(1):431-451. doi: 10.1002/hbm.25364. Epub 2021 Feb 17. PMID: 33595143.
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Low awareness of past SARS-CoV-2 infection in healthy plasma donors.

Cell reports. Medicine

van den Hurk K, Merz EM, Prinsze FJ, Spekman MLC, Quee FA, Ramondt S, Slot E, Vrielink H, Huis In 't Veld EMJ, Zaaijer HL, Hogema BM.
PMID: 33681828
Cell Rep Med. 2021 Mar 16;2(3):100222. doi: 10.1016/j.xcrm.2021.100222. Epub 2021 Mar 01.

Awareness of infection with SARS-CoV-2 is crucial for the effectiveness of COVID-19 control measures. Here, we investigate awareness of infection and symptoms in relation to antibodies against SARS-CoV-2 in healthy plasma donors. We asked individuals donating plasma across the...

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van den Hurk K, Merz EM, Prinsze FJ, et al. Low awareness of past SARS-CoV-2 infection in healthy plasma donors. Cell Rep Med. 2021;2(3):100222doi: 10.1016/j.xcrm.2021.100222.
van den Hurk, K., Merz, E. M., Prinsze, F. J., Spekman, M. L. C., Quee, F. A., Ramondt, S., Slot, E., Vrielink, H., Huis In 't Veld, E. M. J., Zaaijer, H. L., & Hogema, B. M. (2021). Low awareness of past SARS-CoV-2 infection in healthy plasma donors. Cell reports. Medicine, 2(3), 100222. https://doi.org/10.1016/j.xcrm.2021.100222
van den Hurk, Katja, et al. "Low awareness of past SARS-CoV-2 infection in healthy plasma donors." Cell reports. Medicine vol. 2,3 (2021): 100222. doi: https://doi.org/10.1016/j.xcrm.2021.100222
van den Hurk K, Merz EM, Prinsze FJ, Spekman MLC, Quee FA, Ramondt S, Slot E, Vrielink H, Huis In 't Veld EMJ, Zaaijer HL, Hogema BM. Low awareness of past SARS-CoV-2 infection in healthy plasma donors. Cell Rep Med. 2021 Mar 16;2(3):100222. doi: 10.1016/j.xcrm.2021.100222. Epub 2021 Mar 01. PMID: 33681828; PMCID: PMC7917439.
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Targeting Bacterial Gyrase with Cystobactamid, Fluoroquinolone, and Aminocoumarin Antibiotics Induces Distinct Molecular Signatures in Pseudomonas aeruginosa.

mSystems

Franke R, Overwin H, Häussler S, Brönstrup M.
PMID: 34254824
mSystems. 2021 Aug 31;6(4):e0061021. doi: 10.1128/mSystems.00610-21. Epub 2021 Jul 13.

The design of novel antibiotics relies on a profound understanding of their mechanism of action. While it has been shown that cellular effects of antibiotics cluster according to their molecular targets, we investigated whether compounds binding to different sites...

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Franke R, Overwin H, Häussler S, et al. Targeting Bacterial Gyrase with Cystobactamid, Fluoroquinolone, and Aminocoumarin Antibiotics Induces Distinct Molecular Signatures in Pseudomonas aeruginosa. mSystems. 2021;6(4):e0061021doi: 10.1128/mSystems.00610-21.
Franke, R., Overwin, H., Häussler, S., & Brönstrup, M. (2021). Targeting Bacterial Gyrase with Cystobactamid, Fluoroquinolone, and Aminocoumarin Antibiotics Induces Distinct Molecular Signatures in Pseudomonas aeruginosa. mSystems, 6(4), e0061021. https://doi.org/10.1128/mSystems.00610-21
Franke, Raimo, et al. "Targeting Bacterial Gyrase with Cystobactamid, Fluoroquinolone, and Aminocoumarin Antibiotics Induces Distinct Molecular Signatures in Pseudomonas aeruginosa." mSystems vol. 6,4 (2021): e0061021. doi: https://doi.org/10.1128/mSystems.00610-21
Franke R, Overwin H, Häussler S, Brönstrup M. Targeting Bacterial Gyrase with Cystobactamid, Fluoroquinolone, and Aminocoumarin Antibiotics Induces Distinct Molecular Signatures in Pseudomonas aeruginosa. mSystems. 2021 Aug 31;6(4):e0061021. doi: 10.1128/mSystems.00610-21. Epub 2021 Jul 13. PMID: 34254824; PMCID: PMC8407119.
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Response to: Correspondence on "G-CSF as a suitable alternative to GM-CSF to boost dinutuximab-mediated neutrophil cytotoxicity in neuroblastoma treatment" by Mora .

Journal for immunotherapy of cancer

Martinez Sanz P, van Rees DJ, Matlung HL, Tytgat GAM, Franke K.
PMID: 34893526
J Immunother Cancer. 2021 Dec;9(12). doi: 10.1136/jitc-2021-003983.

No abstract available.

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Martinez Sanz P, van Rees DJ, Matlung HL, et al. Response to: Correspondence on "G-CSF as a suitable alternative to GM-CSF to boost dinutuximab-mediated neutrophil cytotoxicity in neuroblastoma treatment" by Mora . J Immunother Cancer. 2021;9(12)doi: 10.1136/jitc-2021-003983.
Martinez Sanz, P., van Rees, D. J., Matlung, H. L., Tytgat, G. A. M., & Franke, K. (2021). Response to: Correspondence on "G-CSF as a suitable alternative to GM-CSF to boost dinutuximab-mediated neutrophil cytotoxicity in neuroblastoma treatment" by Mora . Journal for immunotherapy of cancer, 9(12), . https://doi.org/10.1136/jitc-2021-003983
Martinez Sanz, Paula, et al. "Response to: Correspondence on "G-CSF as a suitable alternative to GM-CSF to boost dinutuximab-mediated neutrophil cytotoxicity in neuroblastoma treatment" by Mora ." Journal for immunotherapy of cancer vol. 9,12 (2021). doi: https://doi.org/10.1136/jitc-2021-003983
Martinez Sanz P, van Rees DJ, Matlung HL, Tytgat GAM, Franke K. Response to: Correspondence on "G-CSF as a suitable alternative to GM-CSF to boost dinutuximab-mediated neutrophil cytotoxicity in neuroblastoma treatment" by Mora . J Immunother Cancer. 2021 Dec;9(12). doi: 10.1136/jitc-2021-003983. PMID: 34893526.
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Targeting the cytoplasmic polyadenylation element-binding protein CPEB4 protects against diet-induced obesity and microbiome dysbiosis.

Molecular metabolism

Pell N, Garcia-Pras E, Gallego J, Naranjo-Suarez S, Balvey A, Suñer C, Fernandez-Alfara M, Chanes V, Carbo J, Ramirez-Pedraza M, Reina O, Thingholm L, Bang C, Rühlemann M, Franke A, Schierwagen R, Rheinwalt KP, Trebicka J, Mendez R, Fernandez M.
PMID: 34774811
Mol Metab. 2021 Dec;54:101388. doi: 10.1016/j.molmet.2021.101388. Epub 2021 Nov 10.

OBJECTIVE: Obesity represents a growing health problem that is reaching pandemic dimensions and lacks effective cures, thus highlighting an urgent need for better mechanistic understanding and new therapeutic strategies. Unlike transcription, the function of translation in obesity has hardly...

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Pell N, Garcia-Pras E, Gallego J, et al. Targeting the cytoplasmic polyadenylation element-binding protein CPEB4 protects against diet-induced obesity and microbiome dysbiosis. Mol Metab. 2021;54:101388doi: 10.1016/j.molmet.2021.101388.
Pell, N., Garcia-Pras, E., Gallego, J., Naranjo-Suarez, S., Balvey, A., Suñer, C., Fernandez-Alfara, M., Chanes, V., Carbo, J., Ramirez-Pedraza, M., Reina, O., Thingholm, L., Bang, C., Rühlemann, M., Franke, A., Schierwagen, R., Rheinwalt, K. P., Trebicka, J., Mendez, R., & Fernandez, M. (2021). Targeting the cytoplasmic polyadenylation element-binding protein CPEB4 protects against diet-induced obesity and microbiome dysbiosis. Molecular metabolism, 54101388. https://doi.org/10.1016/j.molmet.2021.101388
Pell, Nuria, et al. "Targeting the cytoplasmic polyadenylation element-binding protein CPEB4 protects against diet-induced obesity and microbiome dysbiosis." Molecular metabolism vol. 54 (2021): 101388. doi: https://doi.org/10.1016/j.molmet.2021.101388
Pell N, Garcia-Pras E, Gallego J, Naranjo-Suarez S, Balvey A, Suñer C, Fernandez-Alfara M, Chanes V, Carbo J, Ramirez-Pedraza M, Reina O, Thingholm L, Bang C, Rühlemann M, Franke A, Schierwagen R, Rheinwalt KP, Trebicka J, Mendez R, Fernandez M. Targeting the cytoplasmic polyadenylation element-binding protein CPEB4 protects against diet-induced obesity and microbiome dysbiosis. Mol Metab. 2021 Dec;54:101388. doi: 10.1016/j.molmet.2021.101388. Epub 2021 Nov 10. PMID: 34774811; PMCID: PMC8711066.
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[Management of Non-Financial Risks: A Research Agenda].

Schmalenbachs Zeitschrift fur betriebswirtschaftliche Forschung = Schmalenbach journal of business research

Franke G.
PMID: 34764536
Schmalenbach Z Betriebswirtsch Forsch. 2020 Aug 07;1-42. doi: 10.1007/s41471-020-00096-z. Epub 2020 Aug 07.

The management of non-financial risks such as ESG-, sustainability- and compliance risks poses a great challenge for companies. In contrast to financial risks the information on non-financial risks is very limited. This renders management quite difficult. Companies incurred big...

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Franke G. Management nicht-finanzieller Risiken: eine Forschungsagenda. [Management of Non-Financial Risks: A Research Agenda]. Schmalenbach Z Betriebswirtsch Forsch. 2020;1-42doi: 10.1007/s41471-020-00096-z.
Franke, G. (2020). Management nicht-finanzieller Risiken: eine Forschungsagenda. [Management of Non-Financial Risks: A Research Agenda]. Schmalenbachs Zeitschrift fur betriebswirtschaftliche Forschung = Schmalenbach journal of business research, 1-42. https://doi.org/10.1007/s41471-020-00096-z
Franke, Günter. "Management nicht-finanzieller Risiken: eine Forschungsagenda." [Management of Non-Financial Risks: A Research Agenda]. Schmalenbachs Zeitschrift fur betriebswirtschaftliche Forschung = Schmalenbach journal of business research vol. (2020): 1-42. doi: https://doi.org/10.1007/s41471-020-00096-z
Franke G. Management nicht-finanzieller Risiken: eine Forschungsagenda. [Management of Non-Financial Risks: A Research Agenda]. Schmalenbach Z Betriebswirtsch Forsch. 2020 Aug 07;1-42. doi: 10.1007/s41471-020-00096-z. Epub 2020 Aug 07. German. PMID: 34764536; PMCID: PMC7411330.
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Label-free electrical quantification of the dielectrophoretic response of DNA.

PMC biophysics

Henning A, Henkel J, Bier FF, Hölzel R.
PMID: 19351426
PMC Biophys. 2008 Nov 05;1(1):4. doi: 10.1186/1757-5036-1-4.

A purely electrical sensing scheme is presented that determines the concentration of macromolecules in solution by measuring the capacitance between planar microelectrodes. Concentrations of DNA in the ng/mL range have been used in samples of 1 muL volume. The...

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Henning A, Henkel J, Bier FF, et al. Label-free electrical quantification of the dielectrophoretic response of DNA. PMC Biophys. 2008;1(1):4doi: 10.1186/1757-5036-1-4.
Henning, A., Henkel, J., Bier, F. F., & Hölzel, R. (2008). Label-free electrical quantification of the dielectrophoretic response of DNA. PMC biophysics, 1(1), 4. https://doi.org/10.1186/1757-5036-1-4
Henning, Anja, et al. "Label-free electrical quantification of the dielectrophoretic response of DNA." PMC biophysics vol. 1,1 (2008): 4. doi: https://doi.org/10.1186/1757-5036-1-4
Henning A, Henkel J, Bier FF, Hölzel R. Label-free electrical quantification of the dielectrophoretic response of DNA. PMC Biophys. 2008 Nov 05;1(1):4. doi: 10.1186/1757-5036-1-4. PMID: 19351426; PMCID: PMC2666632.
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Structural analysis of the reductase component AnfH of iron-only nitrogenase from Azotobacter vinelandii.

Journal of inorganic biochemistry

Trncik C, Müller T, Franke P, Einsle O.
PMID: 34929539
J Inorg Biochem. 2022 Feb;227:111690. doi: 10.1016/j.jinorgbio.2021.111690. Epub 2021 Dec 08.

Biological nitrogen fixation, the conversion of atmospheric dinitrogen into bioavailable ammonium, is exclusively catalyzed by the enzyme nitrogenase that is present in nitrogen-fixing organisms, the diazotrophs. So far, three different nitrogenase variants, encoded in their corresponding, distinct gene clusters,...

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Trncik C, Müller T, Franke P, et al. Structural analysis of the reductase component AnfH of iron-only nitrogenase from Azotobacter vinelandii. J Inorg Biochem. 2021;227:111690doi: 10.1016/j.jinorgbio.2021.111690.
Trncik, C., Müller, T., Franke, P., & Einsle, O. (2022). Structural analysis of the reductase component AnfH of iron-only nitrogenase from Azotobacter vinelandii. Journal of inorganic biochemistry, 227111690. https://doi.org/10.1016/j.jinorgbio.2021.111690
Trncik, Christian, et al. "Structural analysis of the reductase component AnfH of iron-only nitrogenase from Azotobacter vinelandii." Journal of inorganic biochemistry vol. 227 (2022): 111690. doi: https://doi.org/10.1016/j.jinorgbio.2021.111690
Trncik C, Müller T, Franke P, Einsle O. Structural analysis of the reductase component AnfH of iron-only nitrogenase from Azotobacter vinelandii. J Inorg Biochem. 2022 Feb;227:111690. doi: 10.1016/j.jinorgbio.2021.111690. Epub 2021 Dec 08. PMID: 34929539.
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Whole genome metagenomic analysis of the gut microbiome of differently fed infants identifies differences in microbial composition and functional genes, including an absent CRISPR/Cas9 gene in the formula-fed cohort.

Human microbiome journal

Di Guglielmo MD, Franke K, Cox C, Crowgey EL.
PMID: 34278055
Hum Microb J. 2019 Jun;12. doi: 10.1016/j.humic.2019.100057. Epub 2019 May 25.

BACKGROUND: Advancements in sequencing capabilities have enhanced the study of the human microbiome. There are limited studies focused on the gastro-intestinal (gut) microbiome of infants, particularly the impact of diet between breast-fed (BF) versus formula-fed (FF). It is unclear...

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Di Guglielmo MD, Franke K, Cox C, et al. Whole genome metagenomic analysis of the gut microbiome of differently fed infants identifies differences in microbial composition and functional genes, including an absent CRISPR/Cas9 gene in the formula-fed cohort. Hum Microb J. 2019;12doi: 10.1016/j.humic.2019.100057.
Di Guglielmo, M. D., Franke, K., Cox, C., & Crowgey, E. L. (2019). Whole genome metagenomic analysis of the gut microbiome of differently fed infants identifies differences in microbial composition and functional genes, including an absent CRISPR/Cas9 gene in the formula-fed cohort. Human microbiome journal, 12. https://doi.org/10.1016/j.humic.2019.100057
Di Guglielmo, Matthew D, et al. "Whole genome metagenomic analysis of the gut microbiome of differently fed infants identifies differences in microbial composition and functional genes, including an absent CRISPR/Cas9 gene in the formula-fed cohort." Human microbiome journal vol. 12 (2019). doi: https://doi.org/10.1016/j.humic.2019.100057
Di Guglielmo MD, Franke K, Cox C, Crowgey EL. Whole genome metagenomic analysis of the gut microbiome of differently fed infants identifies differences in microbial composition and functional genes, including an absent CRISPR/Cas9 gene in the formula-fed cohort. Hum Microb J. 2019 Jun;12. doi: 10.1016/j.humic.2019.100057. Epub 2019 May 25. PMID: 34278055; PMCID: PMC8281965.
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Idéfix: identifying accidental sample mix-ups in biobanks using polygenic scores.

Bioinformatics (Oxford, England)

Warmerdam R, Lanting P, Deelen P, Franke L.
PMID: 34792549
Bioinformatics. 2021 Nov 18; doi: 10.1093/bioinformatics/btab783. Epub 2021 Nov 18.

MOTIVATION: Identifying sample mix-ups in biobanks is essential to allow the repurposing of genetic data for clinical pharmacogenetics. Pharmacogenetic advice based on the genetic information of another individual is potentially harmful. Existing methods for identifying mix-ups are limited to...

Cite
Warmerdam R, Lanting P, et al. Idéfix: identifying accidental sample mix-ups in biobanks using polygenic scores. Bioinformatics. 2021;doi: 10.1093/bioinformatics/btab783.
Warmerdam, R., Lanting, P., Deelen, P., & Franke, L. (2021). Idéfix: identifying accidental sample mix-ups in biobanks using polygenic scores. Bioinformatics (Oxford, England), . https://doi.org/10.1093/bioinformatics/btab783
Warmerdam, Robert, et al. "Idéfix: identifying accidental sample mix-ups in biobanks using polygenic scores." Bioinformatics (Oxford, England) vol. (2021). doi: https://doi.org/10.1093/bioinformatics/btab783
Warmerdam R, Lanting P, Deelen P, Franke L. Idéfix: identifying accidental sample mix-ups in biobanks using polygenic scores. Bioinformatics. 2021 Nov 18; doi: 10.1093/bioinformatics/btab783. Epub 2021 Nov 18. PMID: 34792549.
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Emotion dysregulation and integration of emotion-related brain networks affect intraindividual change in ADHD severity throughout late adolescence.

NeuroImage

Viering T, Hoekstra PJ, Philipsen A, Naaijen J, Dietrich A, Hartman CA, Franke B, Buitelaar JK, Hildebrandt A, Thiel CM, Gießing C.
PMID: 34813971
Neuroimage. 2021 Nov 20;245:118729. doi: 10.1016/j.neuroimage.2021.118729. Epub 2021 Nov 20.

The course of attention deficit hyperactivity disorder (ADHD) from adolescence into adulthood shows large variations between individuals; nonetheless determinants of interindividual differences in the course are not well understood. A frequent problem in ADHD, associated with worse outcomes, is...

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Viering T, Hoekstra PJ, Philipsen A, et al. Emotion dysregulation and integration of emotion-related brain networks affect intraindividual change in ADHD severity throughout late adolescence. Neuroimage. 2021;245:118729doi: 10.1016/j.neuroimage.2021.118729.
Viering, T., Hoekstra, P. J., Philipsen, A., Naaijen, J., Dietrich, A., Hartman, C. A., Franke, B., Buitelaar, J. K., Hildebrandt, A., Thiel, C. M., & Gießing, C. (2021). Emotion dysregulation and integration of emotion-related brain networks affect intraindividual change in ADHD severity throughout late adolescence. NeuroImage, 245118729. https://doi.org/10.1016/j.neuroimage.2021.118729
Viering, Tammo, et al. "Emotion dysregulation and integration of emotion-related brain networks affect intraindividual change in ADHD severity throughout late adolescence." NeuroImage vol. 245 (2021): 118729. doi: https://doi.org/10.1016/j.neuroimage.2021.118729
Viering T, Hoekstra PJ, Philipsen A, Naaijen J, Dietrich A, Hartman CA, Franke B, Buitelaar JK, Hildebrandt A, Thiel CM, Gießing C. Emotion dysregulation and integration of emotion-related brain networks affect intraindividual change in ADHD severity throughout late adolescence. Neuroimage. 2021 Nov 20;245:118729. doi: 10.1016/j.neuroimage.2021.118729. Epub 2021 Nov 20. PMID: 34813971.
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Intraurethral Energy Harvesting from Urine Flow as an Approach to Power Urologic Implants.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Benke E, Stoinski RT, Preis A, Reitelshofer S, Martin S, Franke J.
PMID: 34892764
Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:7215-7218. doi: 10.1109/EMBC46164.2021.9630116.

Active urologic implants, such as bladder stimulators or artificial sphincters, are a widely-used approach for therapy of urinary incontinence. At present these devices are powered by primary batteries or conventional wireless power transferring techniques. As these methods are associated...

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Benke E, Stoinski RT, Preis A, et al. Intraurethral Energy Harvesting from Urine Flow as an Approach to Power Urologic Implants. Annu Int Conf IEEE Eng Med Biol Soc. 2021;2021:7215-7218doi: 10.1109/EMBC46164.2021.9630116.
Benke, E., Stoinski, R. T., Preis, A., Reitelshofer, S., Martin, S., & Franke, J. (2021). Intraurethral Energy Harvesting from Urine Flow as an Approach to Power Urologic Implants. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 20217215-7218. https://doi.org/10.1109/EMBC46164.2021.9630116
Benke, E, et al. "Intraurethral Energy Harvesting from Urine Flow as an Approach to Power Urologic Implants." Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference vol. 2021 (2021): 7215-7218. doi: https://doi.org/10.1109/EMBC46164.2021.9630116
Benke E, Stoinski RT, Preis A, Reitelshofer S, Martin S, Franke J. Intraurethral Energy Harvesting from Urine Flow as an Approach to Power Urologic Implants. Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:7215-7218. doi: 10.1109/EMBC46164.2021.9630116. PMID: 34892764.
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