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7 results on '"Leuchtenberger, Stefanie"'

1. Mouse mutant phenotyping at scale reveals novel genes controlling bone mineral density.

Author

Swan, Anna L, Swan, Anna L, Schütt, Christine, Rozman, Jan, Del Mar Muñiz Moreno, Maria, Brandmaier, Stefan, Simon, Michelle, Leuchtenberger, Stefanie, Griffiths, Mark, Brommage, Robert, Keskivali-Bond, Piia, Grallert, Harald, Werner, Thomas, Teperino, Raffaele, Becker, Lore, Miller, Gregor, Moshiri, Ala, Seavitt, John R, Cissell, Derek D, Meehan, Terrence F, Acar, Elif F, Lelliott, Christopher J, Flenniken, Ann M, Champy, Marie-France, Sorg, Tania, Ayadi, Abdel, Braun, Robert E, Cater, Heather, Dickinson, Mary E, Flicek, Paul, Gallegos, Juan, Ghirardello, Elena J, Heaney, Jason D, Jacquot, Sylvie, Lally, Connor, Logan, John G, Teboul, Lydia, Mason, Jeremy, Spielmann, Nadine, McKerlie, Colin, Murray, Stephen A, Nutter, Lauryl MJ, Odfalk, Kristian F, Parkinson, Helen, Prochazka, Jan, Reynolds, Corey L, Selloum, Mohammed, Spoutil, Frantisek, Svenson, Karen L, Vales, Taylor S, Wells, Sara E, White, Jacqueline K, Sedlacek, Radislav, Wurst, Wolfgang, Lloyd, KC Kent, Croucher, Peter I, Fuchs, Helmut, Williams, Graham R, Bassett, JH Duncan, Gailus-Durner, Valerie, Herault, Yann, Mallon, Ann-Marie, Brown, Steve DM, Mayer-Kuckuk, Philipp, Hrabe de Angelis, Martin, IMPC Consortium, Swan, Anna L, Swan, Anna L, Schütt, Christine, Rozman, Jan, Del Mar Muñiz Moreno, Maria, Brandmaier, Stefan, Simon, Michelle, Leuchtenberger, Stefanie, Griffiths, Mark, Brommage, Robert, Keskivali-Bond, Piia, Grallert, Harald, Werner, Thomas, Teperino, Raffaele, Becker, Lore, Miller, Gregor, Moshiri, Ala, Seavitt, John R, Cissell, Derek D, Meehan, Terrence F, Acar, Elif F, Lelliott, Christopher J, Flenniken, Ann M, Champy, Marie-France, Sorg, Tania, Ayadi, Abdel, Braun, Robert E, Cater, Heather, Dickinson, Mary E, Flicek, Paul, Gallegos, Juan, Ghirardello, Elena J, Heaney, Jason D, Jacquot, Sylvie, Lally, Connor, Logan, John G, Teboul, Lydia, Mason, Jeremy, Spielmann, Nadine, McKerlie, Colin, Murray, Stephen A, Nutter, Lauryl MJ, Odfalk, Kristian F, Parkinson, Helen, Prochazka, Jan, Reynolds, Corey L, Selloum, Mohammed, Spoutil, Frantisek, Svenson, Karen L, Vales, Taylor S, Wells, Sara E, White, Jacqueline K, Sedlacek, Radislav, Wurst, Wolfgang, Lloyd, KC Kent, Croucher, Peter I, Fuchs, Helmut, Williams, Graham R, Bassett, JH Duncan, Gailus-Durner, Valerie, Herault, Yann, Mallon, Ann-Marie, Brown, Steve DM, Mayer-Kuckuk, Philipp, Hrabe de Angelis, Martin, and IMPC Consortium

Abstract

The genetic landscape of diseases associated with changes in bone mineral density (BMD), such as osteoporosis, is only partially understood. Here, we explored data from 3,823 mutant mouse strains for BMD, a measure that is frequently altered in a range of bone pathologies, including osteoporosis. A total of 200 genes were found to significantly affect BMD. This pool of BMD genes comprised 141 genes with previously unknown functions in bone biology and was complementary to pools derived from recent human studies. Nineteen of the 141 genes also caused skeletal abnormalities. Examination of the BMD genes in osteoclasts and osteoblasts underscored BMD pathways, including vesicle transport, in these cells and together with in silico bone turnover studies resulted in the prioritization of candidate genes for further investigation. Overall, the results add novel pathophysiological and molecular insight into bone health and disease.

Published
2020

2. Mouse mutant phenotyping at scale reveals novel genes controlling bone mineral density.

Author

Swan, Anna L, Mundlos, Stefan1, Swan, Anna L, Schütt, Christine, Rozman, Jan, Del Mar Muñiz Moreno, Maria, Brandmaier, Stefan, Simon, Michelle, Leuchtenberger, Stefanie, Griffiths, Mark, Brommage, Robert, Keskivali-Bond, Piia, Grallert, Harald, Werner, Thomas, Teperino, Raffaele, Becker, Lore, Miller, Gregor, Moshiri, Ala, Seavitt, John R, Cissell, Derek D, Meehan, Terrence F, Acar, Elif F, Lelliott, Christopher J, Flenniken, Ann M, Champy, Marie-France, Sorg, Tania, Ayadi, Abdel, Braun, Robert E, Cater, Heather, Dickinson, Mary E, Flicek, Paul, Gallegos, Juan, Ghirardello, Elena J, Heaney, Jason D, Jacquot, Sylvie, Lally, Connor, Logan, John G, Teboul, Lydia, Mason, Jeremy, Spielmann, Nadine, McKerlie, Colin, Murray, Stephen A, Nutter, Lauryl MJ, Odfalk, Kristian F, Parkinson, Helen, Prochazka, Jan, Reynolds, Corey L, Selloum, Mohammed, Spoutil, Frantisek, Svenson, Karen L, Vales, Taylor S, Wells, Sara E, White, Jacqueline K, Sedlacek, Radislav, Wurst, Wolfgang, Lloyd, KC Kent, Croucher, Peter I, Fuchs, Helmut, Williams, Graham R, Bassett, JH Duncan, Gailus-Durner, Valerie, Herault, Yann, Mallon, Ann-Marie, Brown, Steve DM, Mayer-Kuckuk, Philipp, Hrabe de Angelis, Martin, IMPC Consortium, Swan, Anna L, Mundlos, Stefan1, Swan, Anna L, Schütt, Christine, Rozman, Jan, Del Mar Muñiz Moreno, Maria, Brandmaier, Stefan, Simon, Michelle, Leuchtenberger, Stefanie, Griffiths, Mark, Brommage, Robert, Keskivali-Bond, Piia, Grallert, Harald, Werner, Thomas, Teperino, Raffaele, Becker, Lore, Miller, Gregor, Moshiri, Ala, Seavitt, John R, Cissell, Derek D, Meehan, Terrence F, Acar, Elif F, Lelliott, Christopher J, Flenniken, Ann M, Champy, Marie-France, Sorg, Tania, Ayadi, Abdel, Braun, Robert E, Cater, Heather, Dickinson, Mary E, Flicek, Paul, Gallegos, Juan, Ghirardello, Elena J, Heaney, Jason D, Jacquot, Sylvie, Lally, Connor, Logan, John G, Teboul, Lydia, Mason, Jeremy, Spielmann, Nadine, McKerlie, Colin, Murray, Stephen A, Nutter, Lauryl MJ, Odfalk, Kristian F, Parkinson, Helen, Prochazka, Jan, Reynolds, Corey L, Selloum, Mohammed, Spoutil, Frantisek, Svenson, Karen L, Vales, Taylor S, Wells, Sara E, White, Jacqueline K, Sedlacek, Radislav, Wurst, Wolfgang, Lloyd, KC Kent, Croucher, Peter I, Fuchs, Helmut, Williams, Graham R, Bassett, JH Duncan, Gailus-Durner, Valerie, Herault, Yann, Mallon, Ann-Marie, Brown, Steve DM, Mayer-Kuckuk, Philipp, Hrabe de Angelis, Martin, and IMPC Consortium

Abstract

The genetic landscape of diseases associated with changes in bone mineral density (BMD), such as osteoporosis, is only partially understood. Here, we explored data from 3,823 mutant mouse strains for BMD, a measure that is frequently altered in a range of bone pathologies, including osteoporosis. A total of 200 genes were found to significantly affect BMD. This pool of BMD genes comprised 141 genes with previously unknown functions in bone biology and was complementary to pools derived from recent human studies. Nineteen of the 141 genes also caused skeletal abnormalities. Examination of the BMD genes in osteoclasts and osteoblasts underscored BMD pathways, including vesicle transport, in these cells and together with in silico bone turnover studies resulted in the prioritization of candidate genes for further investigation. Overall, the results add novel pathophysiological and molecular insight into bone health and disease.

Published
2020

3. CRN2 binds to TIMP4 and MMP14 and promotes perivascular invasion of glioblastoma cells

Author

Solga, Roxana, Behrens, Juliane, Ziemann, Anja, Riou, Adrien, Berwanger, Carolin, Becker, Lore, Garrett, Lillian, de Angelis, Martin Hrabe, Fischer, Lisa, Coras, Roland, Barkovits, Katalin, Marcus, Katrin, Mahabir, Esther, Eichinger, Ludwig, Schroeder, Rolf, Noegel, Angelika A., Clemen, Christoph S., Aguilar-Pimentel, Antonio, Schmidt-Weber, Carsten, Klopstock, Thomas, Adler, Thure, Treisel, Irina, Busch, Dirk H., Moreth, Kristin, Hoelter, Sabine M., Zimprich, Annemarie, Wurst, Wolfgang, Amarie, Oana, Graw, Jochen, Rozman, Jan, Calzada-Wack, Julia, Racz, Ildiko, Rathkolb, Birgit, Wolf, Eckhard, Oestereicher, Manuela, Miller, Gregor, Lengger, Christoph, Maier, Holger, Stoeger, Claudia, Leuchtenberger, Stefanie, Gallus-Durner, Valerie, Fuchs, Helmut, Solga, Roxana, Behrens, Juliane, Ziemann, Anja, Riou, Adrien, Berwanger, Carolin, Becker, Lore, Garrett, Lillian, de Angelis, Martin Hrabe, Fischer, Lisa, Coras, Roland, Barkovits, Katalin, Marcus, Katrin, Mahabir, Esther, Eichinger, Ludwig, Schroeder, Rolf, Noegel, Angelika A., Clemen, Christoph S., Aguilar-Pimentel, Antonio, Schmidt-Weber, Carsten, Klopstock, Thomas, Adler, Thure, Treisel, Irina, Busch, Dirk H., Moreth, Kristin, Hoelter, Sabine M., Zimprich, Annemarie, Wurst, Wolfgang, Amarie, Oana, Graw, Jochen, Rozman, Jan, Calzada-Wack, Julia, Racz, Ildiko, Rathkolb, Birgit, Wolf, Eckhard, Oestereicher, Manuela, Miller, Gregor, Lengger, Christoph, Maier, Holger, Stoeger, Claudia, Leuchtenberger, Stefanie, Gallus-Durner, Valerie, and Fuchs, Helmut

Abstract

CRN2 is an actin filament binding protein involved in the regulation of various cellular processes including cell migration and invasion. CRN2 has been implicated in the malignant progression of different types of human cancer. We used CRN2 knock-out mice for analyses as well as for crossbreeding with a Tp53/Pten knock-out glioblastoma mouse model. CRN2 knock-out mice were subjected to a phenotyping screen at the German Mouse Clinic. Murine glioblastoma tissue specimens as well as cultured murine brain slices and glioblastoma cell lines were investigated by immunohistochemistry, immunofluorescence, and cell biological experiments. Protein interactions were studied by immunoprecipitation, pull-down, and enzyme activity assays. CRN2 knock-out mice displayed neurological and behavioural alterations, e.g. reduced hearing sensitivity, reduced acoustic startle response, hypoactivity, and less frequent urination. While glioblastoma mice with or without the additional CRN2 knock-out allele exhibited no significant difference in their survival rates, the increased levels of CRN2 in transplanted glioblastoma cells caused a higher tumour cell encasement of murine brain slice capillaries. We identified two important factors of the tumour microenvironment, the tissue inhibitor of matrix metalloproteinase 4 (TIMP4) and the matrix metalloproteinase 14 (MMP14, synonym: MT1-MMP), as novel binding partners of CRN2. All three proteins mutually interacted and co-localised at the front of lamellipodia, and CRN2 was newly detected in exosomes. On the functional level, we demonstrate that CRN2 increased the secretion of TIMP4 as well as the catalytic activity of MMP14. Our results imply that CRN2 represents a pro-invasive effector within the tumour cell microenvironment of glioblastoma multiforme.

Published
2019

4. CRN2 binds to TIMP4 and MMP14 and promotes perivascular invasion of glioblastoma cells

Author

Solga, Roxana, Behrens, Juliane, Ziemann, Anja, Riou, Adrien, Berwanger, Carolin, Becker, Lore, Garrett, Lillian, de Angelis, Martin Hrabe, Fischer, Lisa, Coras, Roland, Barkovits, Katalin, Marcus, Katrin, Mahabir, Esther, Eichinger, Ludwig, Schroeder, Rolf, Noegel, Angelika A., Clemen, Christoph S., Aguilar-Pimentel, Antonio, Schmidt-Weber, Carsten, Klopstock, Thomas, Adler, Thure, Treisel, Irina, Busch, Dirk H., Moreth, Kristin, Hoelter, Sabine M., Zimprich, Annemarie, Wurst, Wolfgang, Amarie, Oana, Graw, Jochen, Rozman, Jan, Calzada-Wack, Julia, Racz, Ildiko, Rathkolb, Birgit, Wolf, Eckhard, Oestereicher, Manuela, Miller, Gregor, Lengger, Christoph, Maier, Holger, Stoeger, Claudia, Leuchtenberger, Stefanie, Gallus-Durner, Valerie, Fuchs, Helmut, Solga, Roxana, Behrens, Juliane, Ziemann, Anja, Riou, Adrien, Berwanger, Carolin, Becker, Lore, Garrett, Lillian, de Angelis, Martin Hrabe, Fischer, Lisa, Coras, Roland, Barkovits, Katalin, Marcus, Katrin, Mahabir, Esther, Eichinger, Ludwig, Schroeder, Rolf, Noegel, Angelika A., Clemen, Christoph S., Aguilar-Pimentel, Antonio, Schmidt-Weber, Carsten, Klopstock, Thomas, Adler, Thure, Treisel, Irina, Busch, Dirk H., Moreth, Kristin, Hoelter, Sabine M., Zimprich, Annemarie, Wurst, Wolfgang, Amarie, Oana, Graw, Jochen, Rozman, Jan, Calzada-Wack, Julia, Racz, Ildiko, Rathkolb, Birgit, Wolf, Eckhard, Oestereicher, Manuela, Miller, Gregor, Lengger, Christoph, Maier, Holger, Stoeger, Claudia, Leuchtenberger, Stefanie, Gallus-Durner, Valerie, and Fuchs, Helmut

Abstract

CRN2 is an actin filament binding protein involved in the regulation of various cellular processes including cell migration and invasion. CRN2 has been implicated in the malignant progression of different types of human cancer. We used CRN2 knock-out mice for analyses as well as for crossbreeding with a Tp53/Pten knock-out glioblastoma mouse model. CRN2 knock-out mice were subjected to a phenotyping screen at the German Mouse Clinic. Murine glioblastoma tissue specimens as well as cultured murine brain slices and glioblastoma cell lines were investigated by immunohistochemistry, immunofluorescence, and cell biological experiments. Protein interactions were studied by immunoprecipitation, pull-down, and enzyme activity assays. CRN2 knock-out mice displayed neurological and behavioural alterations, e.g. reduced hearing sensitivity, reduced acoustic startle response, hypoactivity, and less frequent urination. While glioblastoma mice with or without the additional CRN2 knock-out allele exhibited no significant difference in their survival rates, the increased levels of CRN2 in transplanted glioblastoma cells caused a higher tumour cell encasement of murine brain slice capillaries. We identified two important factors of the tumour microenvironment, the tissue inhibitor of matrix metalloproteinase 4 (TIMP4) and the matrix metalloproteinase 14 (MMP14, synonym: MT1-MMP), as novel binding partners of CRN2. All three proteins mutually interacted and co-localised at the front of lamellipodia, and CRN2 was newly detected in exosomes. On the functional level, we demonstrate that CRN2 increased the secretion of TIMP4 as well as the catalytic activity of MMP14. Our results imply that CRN2 represents a pro-invasive effector within the tumour cell microenvironment of glioblastoma multiforme.

Published
2019

5. Identification of genetic elements in metabolism by high-throughput mouse phenotyping.

Author

Rozman, Jan, Rozman, Jan, Rathkolb, Birgit, Oestereicher, Manuela A, Schütt, Christine, Ravindranath, Aakash Chavan, Leuchtenberger, Stefanie, Sharma, Sapna, Kistler, Martin, Willershäuser, Monja, Brommage, Robert, Meehan, Terrence F, Mason, Jeremy, Haselimashhadi, Hamed, IMPC Consortium, Hough, Tertius, Mallon, Ann-Marie, Wells, Sara, Santos, Luis, Lelliott, Christopher J, White, Jacqueline K, Sorg, Tania, Champy, Marie-France, Bower, Lynette R, Reynolds, Corey L, Flenniken, Ann M, Murray, Stephen A, Nutter, Lauryl MJ, Svenson, Karen L, West, David, Tocchini-Valentini, Glauco P, Beaudet, Arthur L, Bosch, Fatima, Braun, Robert B, Dobbie, Michael S, Gao, Xiang, Herault, Yann, Moshiri, Ala, Moore, Bret A, Kent Lloyd, KC, McKerlie, Colin, Masuya, Hiroshi, Tanaka, Nobuhiko, Flicek, Paul, Parkinson, Helen E, Sedlacek, Radislav, Seong, Je Kyung, Wang, Chi-Kuang Leo, Moore, Mark, Brown, Steve D, Tschöp, Matthias H, Wurst, Wolfgang, Klingenspor, Martin, Wolf, Eckhard, Beckers, Johannes, Machicao, Fausto, Peter, Andreas, Staiger, Harald, Häring, Hans-Ulrich, Grallert, Harald, Campillos, Monica, Maier, Holger, Fuchs, Helmut, Gailus-Durner, Valerie, Werner, Thomas, Hrabe de Angelis, Martin, Rozman, Jan, Rozman, Jan, Rathkolb, Birgit, Oestereicher, Manuela A, Schütt, Christine, Ravindranath, Aakash Chavan, Leuchtenberger, Stefanie, Sharma, Sapna, Kistler, Martin, Willershäuser, Monja, Brommage, Robert, Meehan, Terrence F, Mason, Jeremy, Haselimashhadi, Hamed, IMPC Consortium, Hough, Tertius, Mallon, Ann-Marie, Wells, Sara, Santos, Luis, Lelliott, Christopher J, White, Jacqueline K, Sorg, Tania, Champy, Marie-France, Bower, Lynette R, Reynolds, Corey L, Flenniken, Ann M, Murray, Stephen A, Nutter, Lauryl MJ, Svenson, Karen L, West, David, Tocchini-Valentini, Glauco P, Beaudet, Arthur L, Bosch, Fatima, Braun, Robert B, Dobbie, Michael S, Gao, Xiang, Herault, Yann, Moshiri, Ala, Moore, Bret A, Kent Lloyd, KC, McKerlie, Colin, Masuya, Hiroshi, Tanaka, Nobuhiko, Flicek, Paul, Parkinson, Helen E, Sedlacek, Radislav, Seong, Je Kyung, Wang, Chi-Kuang Leo, Moore, Mark, Brown, Steve D, Tschöp, Matthias H, Wurst, Wolfgang, Klingenspor, Martin, Wolf, Eckhard, Beckers, Johannes, Machicao, Fausto, Peter, Andreas, Staiger, Harald, Häring, Hans-Ulrich, Grallert, Harald, Campillos, Monica, Maier, Holger, Fuchs, Helmut, Gailus-Durner, Valerie, Werner, Thomas, and Hrabe de Angelis, Martin

Abstract

Metabolic diseases are a worldwide problem but the underlying genetic factors and their relevance to metabolic disease remain incompletely understood. Genome-wide research is needed to characterize so-far unannotated mammalian metabolic genes. Here, we generate and analyze metabolic phenotypic data of 2016 knockout mouse strains under the aegis of the International Mouse Phenotyping Consortium (IMPC) and find 974 gene knockouts with strong metabolic phenotypes. 429 of those had no previous link to metabolism and 51 genes remain functionally completely unannotated. We compared human orthologues of these uncharacterized genes in five GWAS consortia and indeed 23 candidate genes are associated with metabolic disease. We further identify common regulatory elements in promoters of candidate genes. As each regulatory element is composed of several transcription factor binding sites, our data reveal an extensive metabolic phenotype-associated network of co-regulated genes. Our systematic mouse phenotype analysis thus paves the way for full functional annotation of the genome.

Published
2018

6. Identification of genetic elements in metabolism by high-throughput mouse phenotyping

Author

Rozman, Jan, Rathkolb, Birgit, Oestereicher, Manuela A, Schutt, Christine, Ravindranath, Aakash Chavan, Leuchtenberger, Stefanie, Sharma, Sapna, Kistler, Martin, Willershauser, Monja, Brommage, Robert, Meehan, Terrence F, Dobbie, Michael, Rozman, Jan, Rathkolb, Birgit, Oestereicher, Manuela A, Schutt, Christine, Ravindranath, Aakash Chavan, Leuchtenberger, Stefanie, Sharma, Sapna, Kistler, Martin, Willershauser, Monja, Brommage, Robert, Meehan, Terrence F, and Dobbie, Michael

Abstract

Metabolic diseases are a worldwide problem but the underlying genetic factors and their relevance to metabolic disease remain incompletely understood. Genome-wide research is needed to characterize so-far unannotated mammalian metabolic genes. Here, we generate and analyze metabolic phenotypic data of 2016 knockout mouse strains under the aegis of the International Mouse Phenotyping Consortium (IMPC) and find 974 gene knockouts with strong metabolic phenotypes. 429 of those had no previous link to metabolism and 51 genes remain functionally completely unannotated. We compared human orthologues of these uncharacterized genes in five GWAS consortia and indeed 23 candidate genes are associated with metabolic disease. We further identify common regulatory elements in promoters of candidate genes. As each regulatory element is composed of several transcription factor binding sites, our data reveal an extensive metabolic phenotype-associated network of co-regulated genes. Our systematic mouse phenotype analysis thus paves the way for full functional annotation of the genome.

Published
2018

7. Identification of genetic elements in metabolism by high-throughput mouse phenotyping.

Author

Rozman, Jan, Rozman, Jan, Rathkolb, Birgit, Oestereicher, Manuela A, Schütt, Christine, Ravindranath, Aakash Chavan, Leuchtenberger, Stefanie, Sharma, Sapna, Kistler, Martin, Willershäuser, Monja, Brommage, Robert, Meehan, Terrence F, Mason, Jeremy, Haselimashhadi, Hamed, IMPC Consortium, Hough, Tertius, Mallon, Ann-Marie, Wells, Sara, Santos, Luis, Lelliott, Christopher J, White, Jacqueline K, Sorg, Tania, Champy, Marie-France, Bower, Lynette R, Reynolds, Corey L, Flenniken, Ann M, Murray, Stephen A, Nutter, Lauryl MJ, Svenson, Karen L, West, David, Tocchini-Valentini, Glauco P, Beaudet, Arthur L, Bosch, Fatima, Braun, Robert B, Dobbie, Michael S, Gao, Xiang, Herault, Yann, Moshiri, Ala, Moore, Bret A, Kent Lloyd, KC, McKerlie, Colin, Masuya, Hiroshi, Tanaka, Nobuhiko, Flicek, Paul, Parkinson, Helen E, Sedlacek, Radislav, Seong, Je Kyung, Wang, Chi-Kuang Leo, Moore, Mark, Brown, Steve D, Tschöp, Matthias H, Wurst, Wolfgang, Klingenspor, Martin, Wolf, Eckhard, Beckers, Johannes, Machicao, Fausto, Peter, Andreas, Staiger, Harald, Häring, Hans-Ulrich, Grallert, Harald, Campillos, Monica, Maier, Holger, Fuchs, Helmut, Gailus-Durner, Valerie, Werner, Thomas, Hrabe de Angelis, Martin, Rozman, Jan, Rozman, Jan, Rathkolb, Birgit, Oestereicher, Manuela A, Schütt, Christine, Ravindranath, Aakash Chavan, Leuchtenberger, Stefanie, Sharma, Sapna, Kistler, Martin, Willershäuser, Monja, Brommage, Robert, Meehan, Terrence F, Mason, Jeremy, Haselimashhadi, Hamed, IMPC Consortium, Hough, Tertius, Mallon, Ann-Marie, Wells, Sara, Santos, Luis, Lelliott, Christopher J, White, Jacqueline K, Sorg, Tania, Champy, Marie-France, Bower, Lynette R, Reynolds, Corey L, Flenniken, Ann M, Murray, Stephen A, Nutter, Lauryl MJ, Svenson, Karen L, West, David, Tocchini-Valentini, Glauco P, Beaudet, Arthur L, Bosch, Fatima, Braun, Robert B, Dobbie, Michael S, Gao, Xiang, Herault, Yann, Moshiri, Ala, Moore, Bret A, Kent Lloyd, KC, McKerlie, Colin, Masuya, Hiroshi, Tanaka, Nobuhiko, Flicek, Paul, Parkinson, Helen E, Sedlacek, Radislav, Seong, Je Kyung, Wang, Chi-Kuang Leo, Moore, Mark, Brown, Steve D, Tschöp, Matthias H, Wurst, Wolfgang, Klingenspor, Martin, Wolf, Eckhard, Beckers, Johannes, Machicao, Fausto, Peter, Andreas, Staiger, Harald, Häring, Hans-Ulrich, Grallert, Harald, Campillos, Monica, Maier, Holger, Fuchs, Helmut, Gailus-Durner, Valerie, Werner, Thomas, and Hrabe de Angelis, Martin

Abstract

Metabolic diseases are a worldwide problem but the underlying genetic factors and their relevance to metabolic disease remain incompletely understood. Genome-wide research is needed to characterize so-far unannotated mammalian metabolic genes. Here, we generate and analyze metabolic phenotypic data of 2016 knockout mouse strains under the aegis of the International Mouse Phenotyping Consortium (IMPC) and find 974 gene knockouts with strong metabolic phenotypes. 429 of those had no previous link to metabolism and 51 genes remain functionally completely unannotated. We compared human orthologues of these uncharacterized genes in five GWAS consortia and indeed 23 candidate genes are associated with metabolic disease. We further identify common regulatory elements in promoters of candidate genes. As each regulatory element is composed of several transcription factor binding sites, our data reveal an extensive metabolic phenotype-associated network of co-regulated genes. Our systematic mouse phenotype analysis thus paves the way for full functional annotation of the genome.

Published
2018

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