[et_pb_section fb_built=”1″ admin_label=”Fullwidth Header – Background Title Description – no slider – Section 1 ” module_class=”header-title-desciption-no-slider-section1″ _builder_version=”4.9.0″ _module_preset=”default” background_color=”rgba(0,174,239,0.09)” background_enable_color=”off” background_image=”https:\/\/labs.icahn.mssm.edu\/gallolab-new\/wp-content\/uploads\/sites\/572\/2022\/07\/ai-002-1.jpg” parallax=”on” custom_padding=”||||false|false” bottom_divider_style=”ramp2″ bottom_divider_color=”#FFFFFF” bottom_divider_height=”11vw” bottom_divider_arrangement=”above_content” saved_tabs=”all” locked=”off” collapsed=”off”][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.9.0″ _module_preset=”default” background_color=”RGBA(0,0,0,0)” border_color_all=”RGBA(0,0,0,0)”][et_pb_column type=”1_2″ _builder_version=”4.9.0″ _module_preset=”default” custom_padding=”10%||8vw||false|false” custom_padding_tablet=”0vw||0vw||true|false” custom_padding_phone=”” custom_padding_last_edited=”on|tablet”][et_pb_text admin_label=”Text – Title” _builder_version=”4.9.0″ _module_preset=”b3e3ff14-5f5c-4608-8ecf-1885ce3da7aa” header_font=”||||||||” header_text_color=”#FFFFFF” header_font_size=”48px” header_line_height=”60px” custom_margin=”||10px||false|false” header_font_size_tablet=”40px” header_font_size_phone=”24px” header_font_size_last_edited=”on|desktop”]<\/p>\n
[\/et_pb_text][et_pb_text admin_label=”Text – Description” _builder_version=”4.9.0″ _module_preset=”da86b6f0-f83c-4c7c-bdd8-3019777ddffe” text_font=”||||||||” text_text_color=”#FFFFFF” text_font_size=”20px” text_line_height=”32px” text_font_size_tablet=”15px” text_font_size_phone=”14px” text_font_size_last_edited=”on|desktop” disabled_on=”on|on|on” disabled=”on”]<\/p>\n
Our current research focuses on birth of the hair follicle niche, growth control and regeneration, and tissue regression and reorganization.<\/p>\n
[\/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\/gallolab-new\/wp-content\/uploads\/sites\/572\/2022\/10\/Background-1.png” parallax=”on” parallax_method=”off” custom_padding=”100px||||false|false” global_module=”2511″ saved_tabs=”all” locked=”off” collapsed=”off”][et_pb_row column_structure=”1_3,1_3,1_3″ _builder_version=”3.25″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” 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_font_size=”14px” 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
Sane R, Wu SP, Zhang R, Gallo JM. [\/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_font_size=”14px” 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 Ballesta A, Zhou Q, Zhang X, Lv H, Gallo JM. [\/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_font_size=”14px” 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 Zhang XY, Birtwistle MR, Gallo JM. [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,1_3,1_3″ _builder_version=”3.25″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” 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_font_size=”14px” 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 Birtwistle MR, Mager DE, Gallo JM. [\/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_font_size=”14px” 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 Sharma J, Lv H, Gallo JM. [\/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_font_size=”14px” 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 Tiwari AK, Zhang R, Gallo JM. [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_4,1_4,1_4,1_4″ _builder_version=”3.25″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” 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_font_size=”14px” 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 Gallo JM. [\/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_font_size=”14px” 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 Lv H, Zhang X, Sharma J, Reddy MV, Reddy EP, Gallo JM. [\/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_font_size=”14px” 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 Lv H, Wang F, Reddy MV, Zhou Q, Zhang X, Reddy EP, Gallo JM. [\/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_font_size=”14px” 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 Zhou Q, Lv H, Mazloom AR, Xu H, Ma\u2019ayan A, Gallo JM. [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_5,1_5,1_5,1_5,1_5″ _builder_version=”3.25″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” 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_font_size=”14px” 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 Sharma J, Lv H, Gallo JM. [\/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_font_size=”14px” 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 Iyengar R, Zhao S, Chung SW, Mager DE, Gallo JM. [\/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_font_size=”14px” 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 Nuthalapati S, Guo P, Zhou Q, Reddy MV, Reddy EP, Gallo JM. [\/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_font_size=”14px” 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 Wang Z, Zhou Q, Kruh GD, Gallo JM. [\/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_font_size=”14px” 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 Zhou Q, Gallo JM. [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_5,1_5,1_5,1_5,1_5″ _builder_version=”3.25″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” 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_font_size=”14px” 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 Denora N, Laquintana V, Trapani A, Lopedota A, Latrofa A, Gallo JM, Trapani G. [\/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_font_size=”14px” 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 Wang F, Zhou F, Kruh GD, Gallo JM. [\/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_font_size=”14px” 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 Gallo JM. [\/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_font_size=”14px” 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 Zhou Q, Gallo JM. [\/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_font_size=”14px” 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 Zhou Q, Gallo JM. [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_5,1_5,1_5,1_5,1_5″ _builder_version=”3.25″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” 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_font_size=”14px” 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 Wang S, Zhou Q, Gallo JM. [\/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_font_size=”14px” 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 Rosso L, Brock CS, Gallo JM, Saleem A, Price PM, Turkheimer FE, Aboagye EO. [\/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_font_size=”14px” 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 Zhou Q, Guo P, Gallo JM. [\/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_font_size=”14px” 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 Wang S, Guo P, Wang X, Zhou Q, Gallo JM. [\/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_font_size=”14px” 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 Zhou Q, Guo P, Kruh GD, Vicini P, Wang X, Gallo JM. [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_5,1_5,1_5,1_5,1_5″ _builder_version=”3.25″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” 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_font_size=”14px” 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 Zhou Q, Guo P, Wang X, Nuthalapati S, Gallo JM. [\/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_font_size=”14px” 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 Gallo JM, Vicini P, Orlansky A, Li S, Zhou F, Ma J, Pulfer S, Bookman MA, Guo P. [\/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_font_size=”14px” 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 Gallo JM, Li S, Guo P, Reed K, Ma, J. [\/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_font_size=”14px” 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 Ma J, Li S, Reed K, Guo P, Gallo JM. 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[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_5,1_5,1_5,1_5,1_5″ _builder_version=”3.25″ background_size=”initial” background_position=”top_left” background_repeat=”repeat”][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_font_size=”14px” 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 Ma J, Pulfer S, Li S, Chu J, Reed K, Gallo JM. [\/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_font_size=”14px” 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 Gallo JM, Laub PB, Rowinsky EK, Grochow LB, Baker SD. [\/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_font_size=”14px” 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 Devineni D, Klein Szanto A, Gallo JM. [\/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_font_size=”14px” 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 Gallo JM, Brennan J, Halbher T, Laub P, Ozols RF, O\u2019Dwyer PJ. 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disabled_on=”on|on|on” _builder_version=”4.9.0″ _module_preset=”default” text_font=”||||||||” text_text_color=”#FFFFFF” text_line_height=”22px” disabled=”on”]<\/p>\n Contact Us [\/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″ text_font=”||||||||” text_text_color=”#FFFFFF” text_line_height=”1.25em” header_font=”||||||||” header_4_font=”|700||on|||||” header_4_font_size=”16px” header_4_letter_spacing=”1px” header_4_line_height=”1.5em” background_layout=”dark” locked=”off”]<\/p>\n E-mail Phone [\/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″ text_font=”||||||||” text_text_color=”#FFFFFF” text_line_height=”1.25em” header_font=”||||||||” header_4_font=”|700||on|||||” header_4_font_size=”16px” header_4_letter_spacing=”1px” header_4_line_height=”1.5em” background_layout=”dark” locked=”off”]<\/p>\n Lab Address <\/strong> Office Location<\/strong> Mailing Address <\/strong><\/p>\n Icahn School of Medicine at Mount Sinai [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":" PublicationsOur current research focuses on birth of the hair follicle niche, growth control and regeneration, and tissue regression and reorganization.Sane R, Wu SP, Zhang R, Gallo JM.The effect of ABCG2 and ABCC4 on the pharmacokinetics of methotrexate in the brain.Drug Metabolism and Disposition: the Biological Fate of Chemicals 2014 Apr; 42(4).Ballesta A, Zhou Q, Zhang […]<\/p>\n","protected":false},"author":545,"featured_media":0,"parent":0,"menu_order":4,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","inline_featured_image":false,"footnotes":""},"class_list":["post-2494","page","type-page","status-publish","hentry"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/labs.icahn.mssm.edu\/gallolab\/wp-json\/wp\/v2\/pages\/2494","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/labs.icahn.mssm.edu\/gallolab\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/labs.icahn.mssm.edu\/gallolab\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/labs.icahn.mssm.edu\/gallolab\/wp-json\/wp\/v2\/users\/545"}],"replies":[{"embeddable":true,"href":"https:\/\/labs.icahn.mssm.edu\/gallolab\/wp-json\/wp\/v2\/comments?post=2494"}],"version-history":[{"count":7,"href":"https:\/\/labs.icahn.mssm.edu\/gallolab\/wp-json\/wp\/v2\/pages\/2494\/revisions"}],"predecessor-version":[{"id":4687,"href":"https:\/\/labs.icahn.mssm.edu\/gallolab\/wp-json\/wp\/v2\/pages\/2494\/revisions\/4687"}],"wp:attachment":[{"href":"https:\/\/labs.icahn.mssm.edu\/gallolab\/wp-json\/wp\/v2\/media?parent=2494"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
<\/em>
The effect of ABCG2 and ABCC4 on the pharmacokinetics of methotrexate in the brain.<\/strong><\/a>
Drug Metabolism and Disposition: the Biological Fate of Chemicals 2014 Apr; 42(4).<\/p>\n
<\/em>
Multiscale design of cell-type-specific pharmacokinetic\/pharmacodynamic models for personalized medicine: application to temozolomide in brain tumors.<\/strong><\/a>
CPT: Pharmacometrics & Systems Pharmacology 2014; 3.<\/p>\n
<\/em>
A general network pharmacodynamic model-based design pipeline for customized cancer therapy applied to the VEGFR pathway.<\/strong><\/a>
CPT: Pharmacometrics & Systems Pharmacology. 2014 Jan 15;3:e92. doi: 10.1038\/psp.2013.65.<\/p>\n
<\/em>
Mechanistic vs. empirical network models of drug action.<\/strong><\/a>
CPT: Pharmacometrics & Systems Pharmacology. 2013 Sep 6;2:e72. doi: 10.1038\/psp.2013.51.<\/p>\n
<\/em>
Intratumoral modeling of gefitinib pharmacokinetics and pharmacodynamics in an orthotopic mouse model of glioblastoma.<\/strong><\/a>
Cancer Research. 2013 Aug 15;73(16):5242-52.<\/p>\n
<\/em>
Overlapping functions of ABC transporters in topotecan disposition as determined in gene knockout mouse models.<\/strong><\/a>
Molecular Cancer Therapeutics. 2013 Jul;12(7):1343-55.<\/p>\n
<\/em>
Physiologically based pharmacokinetic models of tyrosine kinase inhibitors: a systems pharmacological approach to drug disposition.<\/strong><\/a>
Clinical Pharmacology & Therapeutics. 2013 Mar;93(3):236-8. doi: 10.1038\/clpt.2012.244. Epub 2012 Dec 18.<\/p>\n
<\/em>
Integrated pharmacokinetic-driven approach to screen candidate anticancer drugs for brain tumor chemotherapy.<\/strong><\/a>
AAPS Journal. 2013 Jan;15(1):250-7. doi: 10.1208\/s12248-012-9428-4. Epub 2012 Nov 22.<\/p>\n
<\/em>
Screening candidate anticancer drugs for brain tumor chemotherapy: Pharmacokinetic-driven approach for a series of (E)-N-(substituted aryl)-3-(substituted phenyl)propenamide analogues.<\/strong><\/a>
Investigational New Drugs. 2012 Dec;30(6):2263-73. doi: 10.1007\/s10637-012-9806-x. Epub 2012 Mar 1.<\/p>\n
<\/em>
Activation of Alternate Pro-Survival Pathways Accounts for Acquired Sunitinib Resistance in U87MG Glioma Xenografts.<\/strong><\/a>
Journal of Pharmacology and Experimental Therapeutics. 2012 Nov;343(2):509-19. doi: 10.1124\/jpet.112.196097. Epub 2012 Aug 6.<\/p>\n
<\/em>
Analytical approach to characterize the intratumoral pharmacokinetics and pharmacodynamics of gefitinib in a glioblastoma model.<\/strong><\/a>
Journal of Pharmaceutical Sciences. 2012 Nov;101(11):4100-6. doi: 10.1002\/jps.23283. Epub 2012 Aug 1.<\/p>\n
<\/em>
Merging systems biology with pharmacodynamics.<\/strong><\/a>
Science Translational Medicine. 2012 Mar 21;4(126):126ps7.<\/p>\n
<\/em>
Application of a liquid chromatography-tandem mass spectrometry (LC\/MS\/MS) method to the pharmacokinetics of ON01910 in brain tumor-bearing mice.<\/strong><\/a>
Journal of Pharmaceutical and Biomedical Analysis. 2011 Dec 15;56(5):1117-20.<\/p>\n
<\/em>
Dose-dependent disposition of methotrexate in Abcc2 and Abcc3 gene knockout murine models.<\/strong><\/a>
Drug Metabolism and Disposition. 2011 Nov;39(11):2155-61.<\/p>\n
<\/em>
The pharmacokinetic\/pharmacodynamic pipeline: translating anticancer drug pharmacology to the clinic.<\/strong><\/a>
AAPS Journal. 2011 Mar;13(1):111-20.<\/p>\n
<\/em>
Translocator protein (TSPO) ligand-Ara-C (cytarabine) conjugates as a strategy to deliver antineoplastic drugs and to enhance drug clinical potential.<\/strong><\/a>
Molecular Pharmaceutics. 2010 Dec 6;7(6):2255-69.<\/p>\n
<\/em>
Influence of blood-brain barrier efflux pumps on the distribution of vincristine in brain and brain tumors.<\/strong><\/a>
Neuro-Oncology. 2010 Oct;12(10):1043-9.<\/p>\n
<\/em>
Pharmacokinetic\/ pharmacodynamic-driven drug development.<\/strong><\/a>
Mt Sinai Journal of Medicine. 2010 Jul-Aug;77(4):381-8.<\/p>\n
<\/em>
Quantification of sunitinib in mouse plasma, brain tumor and normal brain using liquid chromatography-electrospray ionization-tandem mass spectrometry and pharmacokinetic application.<\/strong><\/a>
Journal of Pharmaceutical and Biomedical Analysis. 2010 Mar 11;51(4):958-64.<\/p>\n
<\/em>
Differential effect of sunitinib on the distribution of temozolomide in an orthotopic brain tumor model.<\/strong><\/a>
Neuro-Oncology. 2009 Jun;11(3):301-10.<\/p>\n
<\/em>
Demonstration of the equivalent pharmacokinetic\/pharmacodynamic dosing strategy in a multiple-dose study of gefitinib.<\/strong><\/a>
Molecular Cancer Therapeutics. 2009 Jun;8(6):1438-47.<\/p>\n
<\/em>
A new model for prediction of drug distribution in tumor and normal tissues: pharmacokinetics of temozolomide in glioma patients.<\/strong><\/a>
Cancer Research. 2009 Jan 1;69(1):120-7.<\/p>\n
<\/em>
Impact of antiangiogenesis inhibition by sunitinib on tumor distribution of temozolomide.<\/strong><\/a>
Clinical Cancer Research. 2008 Mar 1;14(5):1540-9.<\/p>\n
<\/em>
Preclinical pharmacokinetic\/pharmacodynamic models of gefitinib and the design of equivalent dosing regimens in EGFR wild-type and mutant tumor models.<\/strong><\/a>
Molecular Cancer Therapeutics. 2008 Feb;7(2):407-17.<\/p>\n
<\/em>
Predicting human tumor drug concentrations from a preclinical pharmacokinetic model of temozolomide brain disposition.<\/strong><\/a>
Clin Cancer Res. 2007 Jul 15;13(14):4271-9.<\/p>\n
<\/em>
Preclinical pharmacokinetic and pharmacodynamic evaluation of metronomic and conventional temozolomide dosing regimens.<\/strong><\/a>
Journal of Pharmacology and Experimental Therapeutics. 2007 Apr;321(1):265-75.<\/p>\n
<\/em>
Pharmacokinetic model-predicted anticancer drug concentrations in human tumors.<\/strong><\/a>
Clinical Cancer Research. 2004 Dec 1;10(23):8048-58.<\/p>\n
<\/em>
The effect of P-glycoprotein on paclitaxel brain and brain tumor distribution in mice.<\/strong><\/a>
Cancer Research. 2003 Aug 15;63(16):5114-7.<\/p>\n
<\/em>
Pharmacodynamic-mediated effects of the angiogenesis inhibitor SU5416 on the tumor disposition of temozolomide (TMZ) in subcutaneous and intracerebral human glioma xenograft models.<\/strong><\/a>
Journal of Pharmacology and Experimental Therapeutics. 2003 Jun;305(3):833-9.<\/p>\n
<\/em>
Cells designed to deliver anticancer drugs by apoptosis.<\/strong><\/a>
Cancer Research. 2002 Mar 1;62(5):1382-7.<\/p>\n
<\/em>
Pharmacodynamic mediated reduction of temozolomide tumor concentrations by the angiogenesis inhibitor TNP 470.<\/strong><\/a>
Cancer Research. 2001 Jul 15;61(14):5491-8.<\/p>\n
<\/em>
Population pharmacokinetic model for topotecan derived from phase I clinical trials.<\/strong><\/a>
Journal of Clinical Oncology. 2000 Jun;18(12):2459-67.<\/p>\n
<\/em>
Uptake of temozolomide in a rat glioma model in the absence and presence of the angiogenesis inhibitor TNP 470.<\/strong><\/a>
Cancer Research. 1996 May 1;56(9):1983-7.<\/p>\n
<\/em>
Time dependent pharmacodynamic models in cancer chemotherapy: Population pharmacodynamic model for glutathione depletion following administration of buthionine sulfoximine (BSO) in a Phase I trial of melphalan and BSO.<\/strong><\/a>
Cancer Research. 1995 Oct 15;55(20):4507-11.<\/p>\n
\n<\/em>
\nProgenitor-derived endothelin controls dermal sheath contraction for hair follicle.<\/strong>
\nNature Cell Biology 2023, Jan 30.[\/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” _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_font_size=”14px” 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>
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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One Gustave L. Levy Place
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Icahn School of Medicine
at Mount Sinai
One Gustave L. Levy Place
<\/span>Annenberg
<\/span>New York, NY 10029<\/span><\/p>\n
<\/a><\/span>Recent News
<\/a>Alumni
<\/a>Researchers
<\/a>Gallery
<\/a>Resources
<\/a>Submit Inquiry
<\/a>Resources
<\/a>Lab Trials
Accessibility<\/a><\/span><\/p>\n
<\/strong>james.gallo@mssm.edu<\/p>\n
<\/strong>Tel: 212-241-7770
Fx: 212-996-7214<\/p>\n
Annenberg Building
1468 Madison Ave
Floor 19 Room 19-40
New York, NY 10029<\/p>\n
James Gallo, PhD
Annenberg Building
1468 Madison Ave
Floor 19 Room 19-40A
New York, NY 10029<\/p>\n
Department of Pharmacology and Systems Therapeutics
One Gustave L. Levy Place
<\/span>Box 1603
<\/span>New York, NY 10029<\/span><\/p>\n