Loading…
Abstract IA13: Imaging stem cell signals in cancer heterogeneity and therapy resistance
Our research focuses on the signals that control stem cell self-renewal and how these signals are hijacked in cancer. Using a series of genetic models, we have studied how classic developmental signaling pathways such as Wnt, Hedgehog, and Notch play key roles in hematopoietic stem cell growth and r...
Saved in:
Published in: | Cancer research (Chicago, Ill.) Ill.), 2018-05, Vol.78 (10_Supplement), p.IA13-IA13 |
---|---|
Main Author: | |
Format: | Article |
Language: | English |
Citations: | Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c1123-1b938adc5aef4944b5bafdf0ed3864ed9f308d1e4adaef244895ef2ee2c486333 |
---|---|
cites | |
container_end_page | IA13 |
container_issue | 10_Supplement |
container_start_page | IA13 |
container_title | Cancer research (Chicago, Ill.) |
container_volume | 78 |
creator | Reya, Tannishtha |
description | Our research focuses on the signals that control stem cell self-renewal and how these signals are hijacked in cancer. Using a series of genetic models, we have studied how classic developmental signaling pathways such as Wnt, Hedgehog, and Notch play key roles in hematopoietic stem cell growth and regeneration and are dysregulated during leukemia development. In addition, using real-time imaging strategies we have found that hematopoietic stem cells have the capacity to undergo both symmetric and asymmetric division, and that shifts in the balance between these modes of division are subverted by oncogenes. Further, regulators of this process, including the cell fate determinant Musashi, are critical players in driving progression of solid and liquid cancers and could serve as targets for diagnostics and therapy. Ongoing work is focused on understanding the mechanisms that drive therapy resistance after drug delivery, as well as developing high-resolution in vivo imaging approaches to map normal stem cell behavior and interactions within living animals, and to define how these change during cancer formation.
Citation Format: Tannishtha Reya. Imaging stem cell signals in cancer heterogeneity and therapy resistance [abstract]. In: Proceedings of the AACR Special Conference: Advances in Modeling Cancer in Mice: Technology, Biology, and Beyond; 2017 Sep 24-27; Orlando, Florida. Philadelphia (PA): AACR; Cancer Res 2018;78(10 Suppl):Abstract nr IA13. |
doi_str_mv | 10.1158/1538-7445.MOUSEMODELS17-IA13 |
format | article |
fullrecord | <record><control><sourceid>crossref</sourceid><recordid>TN_cdi_crossref_primary_10_1158_1538_7445_MOUSEMODELS17_IA13</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_1158_1538_7445_MOUSEMODELS17_IA13</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1123-1b938adc5aef4944b5bafdf0ed3864ed9f308d1e4adaef244895ef2ee2c486333</originalsourceid><addsrcrecordid>eNpVkMFLwzAYxYMoWKf_Qw5eO5MmWVPxUmanhY4e5vAY0uRrV9m6keTS_94WRfD0-HjvffB-CD1SsqRUyCcqmIxTzsVyW-93xbZ-LaodTeMyp-wKRX_2NYoIITIWPE1u0Z33X9MpKBER-swbH5w2Ac-lZ1yedNcPHfYBTtjA8Yh93w366HE_YKMHAw4fIIA7dzBAH0asB4vDAZy-jNiB732YU_fopp1a8PCrC7TfFB_r97iq38p1XsWG0oTFtMmY1NYIDS3POG9Eo1vbErBMrjjYrGVEWgpc2ymRcC4zMSlAYrhcMcYW6OXnr3Fn7x206uL6k3ajokTNkNRMQc0U1D9Iat7LvgHYvl5U</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Abstract IA13: Imaging stem cell signals in cancer heterogeneity and therapy resistance</title><source>EZB Electronic Journals Library</source><creator>Reya, Tannishtha</creator><creatorcontrib>Reya, Tannishtha</creatorcontrib><description>Our research focuses on the signals that control stem cell self-renewal and how these signals are hijacked in cancer. Using a series of genetic models, we have studied how classic developmental signaling pathways such as Wnt, Hedgehog, and Notch play key roles in hematopoietic stem cell growth and regeneration and are dysregulated during leukemia development. In addition, using real-time imaging strategies we have found that hematopoietic stem cells have the capacity to undergo both symmetric and asymmetric division, and that shifts in the balance between these modes of division are subverted by oncogenes. Further, regulators of this process, including the cell fate determinant Musashi, are critical players in driving progression of solid and liquid cancers and could serve as targets for diagnostics and therapy. Ongoing work is focused on understanding the mechanisms that drive therapy resistance after drug delivery, as well as developing high-resolution in vivo imaging approaches to map normal stem cell behavior and interactions within living animals, and to define how these change during cancer formation.
Citation Format: Tannishtha Reya. Imaging stem cell signals in cancer heterogeneity and therapy resistance [abstract]. In: Proceedings of the AACR Special Conference: Advances in Modeling Cancer in Mice: Technology, Biology, and Beyond; 2017 Sep 24-27; Orlando, Florida. Philadelphia (PA): AACR; Cancer Res 2018;78(10 Suppl):Abstract nr IA13.</description><identifier>ISSN: 0008-5472</identifier><identifier>EISSN: 1538-7445</identifier><identifier>DOI: 10.1158/1538-7445.MOUSEMODELS17-IA13</identifier><language>eng</language><ispartof>Cancer research (Chicago, Ill.), 2018-05, Vol.78 (10_Supplement), p.IA13-IA13</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c1123-1b938adc5aef4944b5bafdf0ed3864ed9f308d1e4adaef244895ef2ee2c486333</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27915,27916</link.rule.ids></links><search><creatorcontrib>Reya, Tannishtha</creatorcontrib><title>Abstract IA13: Imaging stem cell signals in cancer heterogeneity and therapy resistance</title><title>Cancer research (Chicago, Ill.)</title><description>Our research focuses on the signals that control stem cell self-renewal and how these signals are hijacked in cancer. Using a series of genetic models, we have studied how classic developmental signaling pathways such as Wnt, Hedgehog, and Notch play key roles in hematopoietic stem cell growth and regeneration and are dysregulated during leukemia development. In addition, using real-time imaging strategies we have found that hematopoietic stem cells have the capacity to undergo both symmetric and asymmetric division, and that shifts in the balance between these modes of division are subverted by oncogenes. Further, regulators of this process, including the cell fate determinant Musashi, are critical players in driving progression of solid and liquid cancers and could serve as targets for diagnostics and therapy. Ongoing work is focused on understanding the mechanisms that drive therapy resistance after drug delivery, as well as developing high-resolution in vivo imaging approaches to map normal stem cell behavior and interactions within living animals, and to define how these change during cancer formation.
Citation Format: Tannishtha Reya. Imaging stem cell signals in cancer heterogeneity and therapy resistance [abstract]. In: Proceedings of the AACR Special Conference: Advances in Modeling Cancer in Mice: Technology, Biology, and Beyond; 2017 Sep 24-27; Orlando, Florida. Philadelphia (PA): AACR; Cancer Res 2018;78(10 Suppl):Abstract nr IA13.</description><issn>0008-5472</issn><issn>1538-7445</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNpVkMFLwzAYxYMoWKf_Qw5eO5MmWVPxUmanhY4e5vAY0uRrV9m6keTS_94WRfD0-HjvffB-CD1SsqRUyCcqmIxTzsVyW-93xbZ-LaodTeMyp-wKRX_2NYoIITIWPE1u0Z33X9MpKBER-swbH5w2Ac-lZ1yedNcPHfYBTtjA8Yh93w366HE_YKMHAw4fIIA7dzBAH0asB4vDAZy-jNiB732YU_fopp1a8PCrC7TfFB_r97iq38p1XsWG0oTFtMmY1NYIDS3POG9Eo1vbErBMrjjYrGVEWgpc2ymRcC4zMSlAYrhcMcYW6OXnr3Fn7x206uL6k3ajokTNkNRMQc0U1D9Iat7LvgHYvl5U</recordid><startdate>20180515</startdate><enddate>20180515</enddate><creator>Reya, Tannishtha</creator><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20180515</creationdate><title>Abstract IA13: Imaging stem cell signals in cancer heterogeneity and therapy resistance</title><author>Reya, Tannishtha</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1123-1b938adc5aef4944b5bafdf0ed3864ed9f308d1e4adaef244895ef2ee2c486333</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Reya, Tannishtha</creatorcontrib><collection>CrossRef</collection><jtitle>Cancer research (Chicago, Ill.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Reya, Tannishtha</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Abstract IA13: Imaging stem cell signals in cancer heterogeneity and therapy resistance</atitle><jtitle>Cancer research (Chicago, Ill.)</jtitle><date>2018-05-15</date><risdate>2018</risdate><volume>78</volume><issue>10_Supplement</issue><spage>IA13</spage><epage>IA13</epage><pages>IA13-IA13</pages><issn>0008-5472</issn><eissn>1538-7445</eissn><abstract>Our research focuses on the signals that control stem cell self-renewal and how these signals are hijacked in cancer. Using a series of genetic models, we have studied how classic developmental signaling pathways such as Wnt, Hedgehog, and Notch play key roles in hematopoietic stem cell growth and regeneration and are dysregulated during leukemia development. In addition, using real-time imaging strategies we have found that hematopoietic stem cells have the capacity to undergo both symmetric and asymmetric division, and that shifts in the balance between these modes of division are subverted by oncogenes. Further, regulators of this process, including the cell fate determinant Musashi, are critical players in driving progression of solid and liquid cancers and could serve as targets for diagnostics and therapy. Ongoing work is focused on understanding the mechanisms that drive therapy resistance after drug delivery, as well as developing high-resolution in vivo imaging approaches to map normal stem cell behavior and interactions within living animals, and to define how these change during cancer formation.
Citation Format: Tannishtha Reya. Imaging stem cell signals in cancer heterogeneity and therapy resistance [abstract]. In: Proceedings of the AACR Special Conference: Advances in Modeling Cancer in Mice: Technology, Biology, and Beyond; 2017 Sep 24-27; Orlando, Florida. Philadelphia (PA): AACR; Cancer Res 2018;78(10 Suppl):Abstract nr IA13.</abstract><doi>10.1158/1538-7445.MOUSEMODELS17-IA13</doi></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0008-5472 |
ispartof | Cancer research (Chicago, Ill.), 2018-05, Vol.78 (10_Supplement), p.IA13-IA13 |
issn | 0008-5472 1538-7445 |
language | eng |
recordid | cdi_crossref_primary_10_1158_1538_7445_MOUSEMODELS17_IA13 |
source | EZB Electronic Journals Library |
title | Abstract IA13: Imaging stem cell signals in cancer heterogeneity and therapy resistance |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-14T23%3A48%3A18IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Abstract%20IA13:%20Imaging%20stem%20cell%20signals%20in%20cancer%20heterogeneity%20and%20therapy%20resistance&rft.jtitle=Cancer%20research%20(Chicago,%20Ill.)&rft.au=Reya,%20Tannishtha&rft.date=2018-05-15&rft.volume=78&rft.issue=10_Supplement&rft.spage=IA13&rft.epage=IA13&rft.pages=IA13-IA13&rft.issn=0008-5472&rft.eissn=1538-7445&rft_id=info:doi/10.1158/1538-7445.MOUSEMODELS17-IA13&rft_dat=%3Ccrossref%3E10_1158_1538_7445_MOUSEMODELS17_IA13%3C/crossref%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c1123-1b938adc5aef4944b5bafdf0ed3864ed9f308d1e4adaef244895ef2ee2c486333%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |