[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.9.0″ _module_preset=”default” background_color=”RGBA(0,0,0,0)”][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ disabled_on=”off|off|off” admin_label=”Section 28 – Blog Style Publications” module_class=”section28_blog_style_publications” _builder_version=”4.9.0″ background_color=”#FFFFFF” background_image=”https:\/\/labs.icahn.mssm.edu\/wenglerlab\/wp-content\/uploads\/sites\/516\/2022\/12\/9-alt.png” background_size=”initial” background_position=”top_right” background_repeat=”repeat-y” custom_margin=”-10px||0px||false|false” custom_padding=”0px|0px|0px|0px|false|false” animation_style=”slide” animation_direction=”bottom” saved_tabs=”all” locked=”on” collapsed=”on”][et_pb_row column_structure=”1_3,1_3,1_3″ disabled_on=”on|on|on” admin_label=”3-column publications w\/ thumbnail” _builder_version=”3.25″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” disabled=”on” collapsed=”on”][et_pb_column type=”1_3″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/labs.icahn.mssm.edu\/rendl-lab\/wp-content\/uploads\/sites\/292\/2020\/01\/2019_Saxena.pdf” link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n
Download<\/a><\/strong><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/labs.icahn.mssm.edu\/rendl-lab\/wp-content\/uploads\/sites\/292\/2020\/01\/2019_Saxena.pdf” link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n Download<\/a><\/strong><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/labs.icahn.mssm.edu\/rendl-lab\/wp-content\/uploads\/sites\/292\/2020\/01\/2019_Saxena.pdf” link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n Download<\/a><\/strong><\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row admin_label=”Row of year for publications: 2024″ _builder_version=”4.9.0″ _module_preset=”default” min_height=”16px” height=”16px” max_height=”16px” custom_margin=”25px||0px||false|false” custom_padding=”0px||0px||false|false” animation_style=”slide” animation_direction=”bottom” collapsed=”on”][et_pb_column type=”4_4″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_font_size=”24px” text_line_height=”1.1em” min_height=”16px” height=”16px” max_height=”16px” custom_margin=”||0px||false|false” custom_padding=”||0px||false|false”]<\/p>\n 2024<\/strong><\/span><\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,1_3,1_3″ disabled_on=”off|off|off” admin_label=”3-column publications w\/o thumbnail” _builder_version=”4.9.0″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” custom_margin=”15px||||false|false” animation_style=”slide” animation_direction=”bottom” collapsed=”on”][et_pb_column type=”1_3″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/jamanetwork.com\/journals\/jamapsychiatry\/fullarticle\/2811188″ link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n Wengler K, Baker SC, Velikovskaya A, Fogelson A, Girgis RR, Reyes-Madrigal F, Lee S, de la Fuente-Sandoval C, Ojeil N, Horga G. <\/em><\/p>\n Generalizability and Out-of-Sample Predictive Ability of Associations Between Neuromelanin-Sensitive Magnetic Resonance Imaging and Psychosis in Antipsychotic-Free Individuals.<\/strong> [\/et_pb_text][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/www.biorxiv.org\/content\/10.1101\/2024.04.30.590832v2.abstract” link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n Goldberg A, Rosario I, Power J, Horga G*, Wengler K*.<\/em><\/p>\n Strategies for motion-and respiration-robust estimation of fMRI intrinsic neural timescales. \u00a0<\/strong> [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/ajp.psychiatryonline.org\/doi\/full\/10.1176\/appi.ajp.20220780″ link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)” locked=”off”]<\/p>\n van der Pluijm M, Wengler K, Reijers PN, Cassidy CM, Joe KT, de Peuter OR, Horga G, Booij J, de Haan L, van de Giessen E.<\/em><\/p>\n Neuromelanin-Sensitive MRI as Candidate Marker for Treatment Resistance in First-Episode Schizophrenia.<\/strong> [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0006322324000623″ link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n Weinstein JJ, Moeller SJ, Perlman G, Gil R, Van Snellenberg JX, Wengler K, Meng J, Slifstein M, Abi-Dargham A. <\/em><\/p>\n Imaging the Vesicular Acetylcholine Transporter in Schizophrenia: a PET study using [18F]-VAT. <\/strong> [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row admin_label=”Row of year for publications: 2023″ _builder_version=”4.9.0″ _module_preset=”default” min_height=”16px” height=”16px” max_height=”16px” custom_margin=”40px||||false|false” animation_style=”slide” animation_direction=”bottom” locked=”off” collapsed=”on”][et_pb_column type=”4_4″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_font_size=”24px” text_line_height=”1.1em” min_height=”16px” height=”16px” max_height=”16px” custom_margin=”||0px||false|false” custom_padding=”||0px||false|false”]<\/p>\n 2023<\/strong><\/span><\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,1_3,1_3″ disabled_on=”off|off|off” admin_label=”3-column publications w\/o thumbnail” _builder_version=”4.9.0″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” custom_margin=”15px||||false|false” animation_style=”slide” animation_direction=”bottom” collapsed=”on”][et_pb_column type=”1_3″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/www.nature.com\/articles\/s41380-023-02105-z” link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)” locked=”off”]<\/p>\n Pagliaccio D, Wengler K, Durham K, Fontaine M, Rueppel M, Becker H, Bilek E, Pieper S, Risdon C, Horga G, Fitzgerald KD, Marsh R.<\/em><\/p>\n Probing midbrain dopamine function in pediatric obsessive-compulsive disorder via neuromelanin-sensitive magnetic resonance imaging.<\/strong> [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/www.sciencedirect.com\/science\/article\/pii\/S2772408523001163″ link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)” locked=”off”]<\/p>\n van Hooijdonk CF, van der Pluijm M, Smith C, Yaqub M, van Velden FH, Horga G, Wengler K, Hoven M, van Holst RJ, de Haan L, Selten JP. van Amelsvoort TAMJ, Booij J, van de Giessen E.<\/em><\/p>\n Striatal dopamine synthesis capacity and neuromelanin in the substantia nigra: A multimodal imaging study in schizophrenia and healthy controls.<\/strong> [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ disabled_on=”on|on|on” _builder_version=”4.9.0″ _module_preset=”default” disabled=”on”][\/et_pb_column][\/et_pb_row][et_pb_row admin_label=”Row of year for publications: 2022″ _builder_version=”4.9.0″ _module_preset=”default” min_height=”16px” height=”16px” max_height=”16px” custom_margin=”40px||||false|false” animation_style=”slide” animation_direction=”bottom” collapsed=”on”][et_pb_column type=”4_4″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_font_size=”24px” text_line_height=”1.1em” min_height=”16px” height=”16px” max_height=”16px” custom_margin=”||0px||false|false” custom_padding=”||0px||false|false”]<\/p>\n 2022<\/strong><\/span><\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,1_3,1_3″ disabled_on=”off|off|off” admin_label=”3-column publications w\/o thumbnail” _builder_version=”4.9.0″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” custom_margin=”15px||||false|false” animation_style=”slide” animation_direction=”bottom” collapsed=”on”][et_pb_column type=”1_3″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/www.nature.com\/articles\/s41380-022-01730-4″ link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)” locked=”off”]<\/p>\n Narayan GA, Hill KR, Wengler K, He X, Wang J, Yang J, Parsey RV, DeLorenzo C.<\/em><\/p>\n Does the change in glutamate to GABA ratio correlate with change in depression severity? A randomized, double-blind clinical trial.\u00a0<\/strong> [\/et_pb_text][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/0361073X.2021.1929748″ link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)” locked=”off”]<\/p>\n Chen YW, Wengler K, He X, Canli T.<\/em><\/p>\n Individual Differences in Cerebral Perfusion as a Function of Age and Loneliness.<\/strong> [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/www.sciencedirect.com\/science\/article\/pii\/S2772528622000723″ link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n Ali FZ, Wengler K, He X, Nguyen MH, Parsey RV, DeLorenzo C.<\/em><\/p>\n Gradient boosting decision-tree-based algorithm with neuroimaging for personalized treatment in depression.<\/strong> [\/et_pb_text][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/www.biorxiv.org\/content\/10.1101\/2022.03.24.485654v1.abstract” link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)” locked=”off”]<\/p>\n Raio CM, Biernacki K, Kapoor A, Wengler K, Bonagura D, Xue J, Constantino SM, Horga G, Konova AB.<\/em><\/p>\n Suboptimal foraging decisions and involvement of the ventral tegmental area in human opioid addiction.<\/strong> [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/www.nature.com\/articles\/s41537-022-00224-0″ link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n Moeller SJ, Gil R, Weinstein JJ, Baumvoll T, Wengler K, Fallon N, Van Snellenberg JX, Abeykoon S, Perlman G, Williams J, Manu L. Slifstein M, Cassidy CM, Martinez DM, Abi-Dargham A.<\/em><\/p>\n Deep rTMS of the insula and prefrontal cortex in smokers with schizophrenia: proof-of-concept study.<\/strong> [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row admin_label=”Row of year for publications: 2021″ _builder_version=”4.9.0″ _module_preset=”default” min_height=”16px” height=”16px” max_height=”16px” custom_margin=”40px||||false|false” collapsed=”on”][et_pb_column type=”4_4″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_font_size=”24px” text_line_height=”1.1em” min_height=”16px” height=”16px” max_height=”16px” custom_margin=”||0px||false|false” custom_padding=”||0px||false|false”]<\/p>\n 2021<\/strong><\/span><\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,1_3,1_3″ disabled_on=”off|off|off” admin_label=”3-column publications w\/o thumbnail” _builder_version=”4.9.0″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” custom_margin=”15px||||false|false” animation_style=”slide” animation_direction=”bottom” collapsed=”on”][et_pb_column type=”1_3″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/app.jove.com\/t\/62493\/standardized-data-acquisition-for-neuromelanin-sensitive-magnetic” link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n Salzman G, Kim J, Horga G*, Wengler K*.<\/em><\/p>\n Standardized data acquisition for neuromelanin-sensitive magnetic resonance imaging of the substantia nigra.\u00a0<\/strong> [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/jamanetwork.com\/journals\/jamapsychiatry\/fullarticle\/2780292″ link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n Horga G, Wengler K, Cassidy CM.<\/em><\/p>\n Neuromelanin-sensitive magnetic resonance imaging as a proxy marker for catecholamine function in psychiatry.\u00a0<\/strong> [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/onlinelibrary.wiley.com\/doi\/full\/10.1002\/jmri.27679″ link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)” locked=”off”]<\/p>\n Wengler K, Cassidy C, van Der Pluijm M, Weinstein JJ, Abi\u2010Dargham A, van de Giessen E, Horga G.<\/em><\/p>\n Cross\u2010scanner harmonization of neuromelanin\u2010sensitive MRI for multisite studies.<\/strong> [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row admin_label=”Row of year for publications: 2020″ _builder_version=”4.9.0″ _module_preset=”default” min_height=”16px” height=”16px” max_height=”16px” custom_margin=”40px||||false|false” animation_style=”slide” animation_direction=”bottom” collapsed=”off”][et_pb_column type=”4_4″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_font_size=”24px” text_line_height=”1.1em” min_height=”16px” height=”16px” max_height=”16px” custom_margin=”||0px||false|false” custom_padding=”||0px||false|false”]<\/p>\n 2020<\/strong><\/span><\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,1_3,1_3″ disabled_on=”off|off|off” admin_label=”3-column publications w\/o thumbnail” _builder_version=”4.9.0″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” custom_margin=”15px||||false|false” animation_style=”slide” animation_direction=”bottom” collapsed=”on”][et_pb_column type=”1_3″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/elifesciences.org\/articles\/56151″ link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n Wengler K, Goldberg AT, Chahine G, Horga G.<\/em><\/p>\n Distinct hierarchical alterations of intrinsic neural timescales account for different manifestations of psychosis.\u00a0<\/strong> [\/et_pb_text][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0730725X20300758″ link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n Wengler K, Ha J, Syritsyna O, Bangiyev L, Coyle PK, Duong TQ, Schweitzer ME, He X.<\/em><\/p>\n Abnormal blood-brain barrier water exchange in chronic multiple sclerosis lesions: A preliminary study.<\/strong> [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1053811919310481″ link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)” locked=”off”]<\/p>\n Wengler K, He X, Abi-Dargham A, Horga G.<\/em><\/p>\n Reproducibility assessment of neuromelanin-sensitive magnetic resonance imaging protocols for region-of-interest and voxelwise analyses.<\/strong> [\/et_pb_text][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/onlinelibrary.wiley.com\/doi\/full\/10.1002\/jmri.26898″ link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n Wengler K, Fukuda T, Tank D, Komatsu DE, Paulus M, Huang M, Gould ES, Schweitzer ME, He X.<\/em><\/p>\n In vivo evaluation of human patellar tendon microstructure and microcirculation with diffusion MRI.<\/strong> [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/www.biologicalpsychiatrycnni.org\/article\/S2451-9022(20)30278-0\/fulltext” link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n Wengler K, Horga G.<\/em><\/p>\n The Quest for a Selective Mapping Between Striatal Dopamine Subcircuits and Psychosis Symptoms.\u00a0<\/strong> [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row admin_label=”Row of year for publications: 2019″ _builder_version=”4.9.0″ _module_preset=”default” min_height=”16px” height=”16px” max_height=”16px” custom_margin=”40px||||false|false” collapsed=”off”][et_pb_column type=”4_4″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_font_size=”24px” text_line_height=”1.1em” min_height=”16px” height=”16px” max_height=”16px” custom_margin=”||0px||false|false” custom_padding=”||0px||false|false”]<\/p>\n 2019<\/strong><\/span><\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,1_3,1_3″ disabled_on=”off|off|off” admin_label=”3-column publications w\/o thumbnail” _builder_version=”4.9.0″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” custom_margin=”15px||||false|false” animation_style=”slide” animation_direction=”bottom” collapsed=”on”][et_pb_column type=”1_3″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1053811919300357″ link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)” locked=”off”]<\/p>\n Wengler K, Bangiyev L, Canli T, Duong TQ, Schweitzer ME, He X.<\/em><\/p>\n 3D MRI of whole-brain water permeability with intrinsic diffusivity encoding of arterial labeled spin (IDEALS).<\/strong> [\/et_pb_text][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/onlinelibrary.wiley.com\/doi\/full\/10.1002\/jmri.26672″ link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n Fukuda T, Wengler K, de Carvalho R, Boonsri P, Schweitzer ME.<\/em><\/p>\n MRI biomarkers in osseous tumors. <\/strong> [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/onlinelibrary.wiley.com\/doi\/full\/10.1002\/mrm.27642″ link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n Wengler K*, Wang J*, Serrano Sosa M, Gumus S, He A, Hussain S, Huang C, Tae Bae K, He X.<\/em><\/p>\n Mapping hepatic blood oxygenation by quantitative BOLD (qBOLD) MRI.<\/strong> [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/link.springer.com\/article\/10.1186\/s12891-019-2811-x” link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)” locked=”off”]<\/p>\n Fukuda T*, Wengler K*, Tank D, Korbin S, Paci JM, Komatsu DE, Paulus M, Huang M, Gould E, Schweitzer ME, He X.<\/em><\/p>\n Abbreviated quantitative UTE imaging in anterior cruciate ligament reconstruction.<\/strong> [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row admin_label=”Row of year for publications: 2018″ _builder_version=”4.9.0″ _module_preset=”default” min_height=”16px” height=”16px” max_height=”16px” custom_margin=”40px||0px||false|false” custom_padding=”0px||0px||false|false” collapsed=”off”][et_pb_column type=”4_4″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_font_size=”24px” text_line_height=”1.1em” min_height=”16px” height=”16px” max_height=”16px” custom_margin=”||0px||false|false” custom_padding=”||0px||false|false”]<\/p>\n 2018<\/strong><\/span><\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,1_3,1_3″ disabled_on=”off|off|off” admin_label=”3-column publications w\/o thumbnail” _builder_version=”4.9.0″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” custom_margin=”15px||||false|false” animation_style=”slide” animation_direction=”bottom” collapsed=”on”][et_pb_column type=”1_3″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/onlinelibrary.wiley.com\/doi\/full\/10.1002\/mrm.27220″ link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n Wengler K, Tank D, Fukuda T, Paci JM, Huang M, Schweitzer ME, He X.<\/em><\/p>\n Diffusion tensor imaging of human Achilles tendon by stimulated echo readout\u2010segmented EPI (ste\u2010RS\u2010EPI).<\/strong> [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/onlinelibrary.wiley.com\/doi\/full\/10.1002\/jmri.26182″ link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n Wengler K, Fukuda T, Tank D, Huang M, Gould ES, Schweitzer ME, He X.<\/em><\/p>\n Intravoxel incoherent motion (IVIM) imaging in human achilles tendon.<\/strong> [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/onlinelibrary.wiley.com\/doi\/full\/10.1002\/mrm.27058″ link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)” locked=”off”]<\/p>\n He X, Wengler K, Schweitzer ME.<\/em><\/p>\n Diffusion sensitivity of 3D\u2010GRASE in arterial spin labeling perfusion.<\/strong> [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row admin_label=”Row of year for publications: 2016″ _builder_version=”4.9.0″ _module_preset=”default” min_height=”16px” height=”16px” max_height=”16px” custom_margin=”40px||||false|false” animation_style=”slide” animation_direction=”bottom” collapsed=”off”][et_pb_column type=”4_4″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_font_size=”24px” text_line_height=”1.1em” min_height=”16px” height=”16px” max_height=”16px” custom_margin=”||0px||false|false” custom_padding=”||0px||false|false”]<\/p>\n 2016<\/strong><\/span><\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,1_3,1_3″ disabled_on=”off|off|off” admin_label=”3-column publications w\/o thumbnail” _builder_version=”4.9.0″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” custom_margin=”15px||||false|false” animation_style=”slide” animation_direction=”bottom” collapsed=”on”][et_pb_column type=”1_3″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/aapm.onlinelibrary.wiley.com\/doi\/full\/10.1118\/1.4937791″ link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n Tyagi N, Riaz N, Hunt M, Wengler K, Hatzoglou V, Young R, Mechalakos J, Lee N.<\/em><\/p>\n Weekly response assessment of involved lymph nodes to radiotherapy using diffusion\u2010weighted MRI in oropharynx squamous cell carcinoma.<\/strong> [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.9.0″ _module_preset=”default”][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_4,1_4,1_4,1_4″ disabled_on=”on|on|on” admin_label=”4-column publications w\/o thumbnail Rezza A, Wang Z, Sennett R, Qiao W, Wang D, Heitman N, Mok KW, Clavel C, Yi R, Zandstra P, Ma\u2019ayan A, Rendl M. Download<\/a><\/strong><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/labs.icahn.mssm.edu\/rendl-lab\/wp-content\/uploads\/sites\/292\/2020\/01\/2019_Saxena.pdf” link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n Sennett R, Wang Z, Rezza A, Grisanti L, Roitershtein N, Sicchio C, Mok KW, Heitman NJ, Clavel C, Ma\u2019ayan A, Rendl M. Download<\/a><\/strong><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/labs.icahn.mssm.edu\/rendl-lab\/wp-content\/uploads\/sites\/292\/2020\/01\/2019_Saxena.pdf” link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n Siegle JM, Basin A, Sastre-Perona A, Yonekubo Y, Brown J, Sennett R, Rendl M, Tsirigos A, Carucci JA, Schober M. Download<\/a><\/strong><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/labs.icahn.mssm.edu\/rendl-lab\/wp-content\/uploads\/sites\/292\/2020\/01\/2019_Saxena.pdf” link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n Rezza A, Sennett R, Tanguy M, Clavel C, Rendl M. Download<\/a><\/strong><\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_5,1_5,1_5,1_5,1_5″ disabled_on=”on|on|on” admin_label=”5-column publications w\/o thumbnail” _builder_version=”3.25″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” disabled=”on” collapsed=”on”][et_pb_column type=”1_5″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/labs.icahn.mssm.edu\/rendl-lab\/wp-content\/uploads\/sites\/292\/2020\/01\/2019_Saxena.pdf” link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n Rezza A, Sennett R, Rendl M. Download<\/a><\/strong><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_5″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/labs.icahn.mssm.edu\/rendl-lab\/wp-content\/uploads\/sites\/292\/2020\/01\/2019_Saxena.pdf” link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n Sennett R, Rezza A, Dauber KL, Clavel C, Rendl M. Download<\/a><\/strong><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_5″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/labs.icahn.mssm.edu\/rendl-lab\/wp-content\/uploads\/sites\/292\/2020\/01\/2019_Saxena.pdf” link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n Tsai SY*, Sennett R*, Rezza A, Clavel C, Grisanti L, Zemla R, Najam S, Rendl M. Download<\/a><\/strong><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_5″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/labs.icahn.mssm.edu\/rendl-lab\/wp-content\/uploads\/sites\/292\/2020\/01\/2019_Saxena.pdf” link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n Grisanti L, Rezza A, Clavel C, Sennett R, Rendl M. Download<\/a><\/strong><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_5″ _builder_version=”4.9.0″ _module_preset=”default”][et_pb_text admin_label=”Text” _builder_version=”4.9.0″ _module_preset=”default” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/labs.icahn.mssm.edu\/rendl-lab\/wp-content\/uploads\/sites\/292\/2020\/01\/2019_Saxena.pdf” link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n Nguyen H, Merrill BJ, Polak L, Nikolova M, Rendl M, Shaver TM, Pasolli HA, Fuchs E. 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Martino P, Sunkara R, Heitman N, Rangl M, Brown A, Saxena N, Grisanti L, Kohan D, Yanagisawa M, Rendl M.
<\/em>
Progenitor-derived endothelin controls dermal sheath contraction for hair follicle.<\/strong>
Nature Cell Biology 2023, Jan 30.<\/p>\n![\"\"](\"https:\/\/labs.icahn.mssm.edu\/wenglerlab\/wp-content\/uploads\/sites\/516\/2022\/12\/2020_Heitman.jpg\")
Heitman N, Sennett R, Mok KW, Saxena N, Srivastava D, Martino P, Grisanti L, Wang Z, Ma\u2019ayan A, Rompolas P, Rendl M.
<\/em>
Dermal sheath contraction powers stem cell niche relocation during hair cycle regression.\u00a0<\/strong>
Experimental Dermatology 2019, 28:332-344.<\/p>\n![\"\"](\"https:\/\/labs.icahn.mssm.edu\/wenglerlab\/wp-content\/uploads\/sites\/516\/2023\/02\/2018_Mok.jpg\")
Saxena N*, Mok KW*, Rendl M.
<\/em>
An updated classification of hair follicle morphogenesis.\u00a0<\/strong>
Experimental Dermatology\u00a02019, 28:332-344.<\/p>\n
JAMA Psychiatry<\/em>. 2024 Feb 1;81(2):198-208.<\/p>\n
bioRxiv.<\/em> 2024:2024-04.<\/p>\n
American Journal of Psychiatry.<\/em> 2024 Mar 13.<\/p>\n
Biological Psychiatry.<\/em> 2024 Feb 2.<\/p>\n
Molecular Psychiatry.<\/em> 2023 Jul;28(7):3075-82.<\/p>\n
Neuroscience Applied.<\/em> 2023 Jan 1;2:101134.<\/p>\n
Molecular Psychiatry.<\/em> 2022 Sep;27(9):3833-41.<\/p>\n
Experimental Aging Research.<\/em> 2022 Jan 1;48(1):1-23<\/p>\n
Neuroscience Informatics.<\/em> 2022 Dec 1;2(4):100110.<\/p>\n
bioRxiv.<\/em> 2022 Mar 27:2022-03.<\/p>\n
Schizophrenia.<\/em> 2022 Feb 25;8(1):6.<\/p>\n
JoVE (Journal of Visualized Experiments).<\/em> 2021 Sep 8(175):e62493<\/p>\n
JAMA Psychiatry.<\/em> 2021 Jul 1;78(7):788-9.<\/p>\n
Journal of Magnetic Resonance Imaging.<\/em> 2021 Oct;54(4):1189-99.<\/p>\n
eLife.<\/em> 2020 Oct 27;9:e56151.<\/p>\n
Magnetic Resonance Imaging.<\/em> 2020 Jul 1;70:126-33.<\/p>\n
Neuroimage.<\/em> 2020 Mar 1;208:116457.<\/p>\n
Journal of Magnetic Resonance Imaging.<\/em> 2020 Mar;51(3):780-90.<\/p>\n
Biological Psychiatry: Cognitive Neuroscience and Neuroimaging.<\/em> 2020 Nov 1;5(11):1004-6.<\/p>\n
Neuroimage.<\/em> 2019 Apr 1;189:401-14.<\/p>\n
Journal of Magnetic Resonance Imaging.<\/em> 2019 Sep;50(3):702-18.<\/p>\n
Magnetic Resonance in Medicine.<\/em> 2019 May;81(5):3272-82.<\/p>\n
BMC musculoskeletal disorders.<\/em> 2019 Dec;20:1-4.<\/p>\n
Magnetic Resonance in Medicine.<\/em> 2018 Dec;80(6):2464-74.<\/p>\n
Journal of Magnetic Resonance Imaging.<\/em> 2018 Dec;48(6):1690-9.<\/p>\n
Magnetic Resonance in Medicine.<\/em> 2018 Aug;80(2):736-47.<\/p>\n
Medical Physics<\/em>. 2016 Jan;43(1):137-47.<\/p>\n
\n5-column” _builder_version=”3.25″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” disabled=”on” collapsed=”on”][et_pb_column type=”1_4″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.9.0″ _module_preset=”default” text_line_height=”1.5em” background_color=”#FFFFFF” custom_padding=”20px|20px|20px|20px|true|true” link_option_url=”https:\/\/labs.icahn.mssm.edu\/rendl-lab\/wp-content\/uploads\/sites\/292\/2020\/01\/2019_Saxena.pdf” link_option_url_new_window=”on” box_shadow_style=”preset1″ box_shadow_vertical=”0px” box_shadow_blur=”40px” box_shadow_color=”rgba(0,0,0,0.14)”]<\/p>\n
<\/em>
Signaling Networks among Stem Cell Precursors, Transit-Amplifying Progenitors, and their Niche in Developing Hair Follicles.\u00a0<\/strong>
Cell Reports\u00a02016, 14:3001-18.<\/p>\n
<\/em>
An Integrated Transcriptome Atlas of Embryonic Hair Follicle Progenitors, Their Niche, and the Developing Skin.\u00a0<\/strong>
Developmental Cell\u00a0<\/em>2015, Epub.<\/p>\n
<\/em>
SOX2 is a cancer-specific regulator of tumour initiating potential in cutaneous squamous cell carcinoma.\u00a0<\/strong>
Science\u00a0<\/em>2015, 348:284-5.<\/p>\n
<\/em>
PDGF signalling in the dermis and in dermal condensates is dispensable for hair follicle induction and formation.\u00a0<\/strong>
Experimental Dermatology\u00a0<\/em>2015, 24:468-70<\/p>\n
<\/em>
Wdr5 mediates self-renewal and reprogramming via the embryonic stem cell core transcriptional network.<\/strong>
Current Topics in Developmental Biology 2014, 107C:333-372.<\/p>\n
<\/em>
Cxcr4 is transiently expressed in both epithelial and mesenchymal compartment formation.\u00a0<\/strong>
Experimental Dermatology\u00a0<\/em>2014, 23:748-50<\/p>\n
<\/em>
Wnt\/\u03b2-catenin signaling in dermal condensates is required for hair follicle formation.\u00a0<\/strong>
Developmental Biology 2014, 385:179-88.<\/p>\n
<\/em>
Enpp2\/Autotaxin in Dermal Papilla Precursors is Dispensable for Hair Follicle Morphogenesis.\u00a0<\/strong>
Journal of Investigative Dermatology\u00a0<\/em>2013, 133:2332-9.<\/p>\n
<\/em>
Mesenchymal-epithelial interactions during hair follicle morphogenesis.\u00a0<\/strong>
Seminars in Cell Developmental Biology2012, 23:917-27<\/p>\n
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