Image-based assessment of growth and signaling changes in cancer cells mediated by direct cell-cell contact.

<h4>Background</h4>Many important biological processes are controlled through cell-cell interactions, including the colonization of metastatic tumor cells and the control of differentiation of stem cells within their niche. Despite the crucial importance of the cellular environment in re...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Peter Lapan, Jing Zhang, Andrew Hill, Ying Zhang, Robert Martinez, Steven Haney
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2009
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/f00d923c6b7d4158b96e1496bf2ee687
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:f00d923c6b7d4158b96e1496bf2ee687
record_format	dspace
spelling	oai:doaj.org-article:f00d923c6b7d4158b96e1496bf2ee6872021-11-25T06:20:38ZImage-based assessment of growth and signaling changes in cancer cells mediated by direct cell-cell contact.1932-620310.1371/journal.pone.0006822https://doaj.org/article/f00d923c6b7d4158b96e1496bf2ee6872009-08-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/19774227/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>Many important biological processes are controlled through cell-cell interactions, including the colonization of metastatic tumor cells and the control of differentiation of stem cells within their niche. Despite the crucial importance of the cellular environment in regulating cellular signaling, in vitro methods for the study of such interactions are difficult and/or indirect.<h4>Methodology/principal findings</h4>We report on the development of an image-based method for distinguishing two cell types grown in coculture. Furthermore, cells of one type that are in direct contact with cells of a second type (adjacent cells) can be analyzed separately from cells that are not within a single well. Changes are evaluated using population statistics, which are useful in detecting subtle changes across two populations. We have used this system to characterize changes in the LNCaP prostate carcinoma cell line when grown in contact with human vascular endothelial cells (HUVECs). We find that the expression and phosphorylation of WWOX is reduced in LNCaP cells when grown in direct contact with HUVECs. Reduced WWOX signaling has been associated with reduced activation or expression of JNK and p73. We find that p73 levels are also reduced in LNCaP cells grown in contact with HUVECs, but we did not observe such a change in JNK levels.<h4>Conclusions/significance</h4>We find that the method described is statistically robust and can be adapted to a wide variety of studies where cell function or signaling are affected by heterotypic cell-cell contact. Ironically, a potential challenge to the method is its high level of sensitivity is capable of classifying events as statistically significant (due to the high number cells evaluated individually), when the biological effect may be less clear. The methodology would be best used in conjunction with additional methods to evaluate the biological role of potentially subtle differences between populations. However, many important events, such as the establishment of a metastatic tumor, occur through rare but important changes, and methods such as we describe here can be used to identify and characterize the contribution of the environment to these changes.Peter LapanJing ZhangAndrew HillYing ZhangRobert MartinezSteven HaneyPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 4, Iss 8, p e6822 (2009)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Peter Lapan Jing Zhang Andrew Hill Ying Zhang Robert Martinez Steven Haney Image-based assessment of growth and signaling changes in cancer cells mediated by direct cell-cell contact.
description	<h4>Background</h4>Many important biological processes are controlled through cell-cell interactions, including the colonization of metastatic tumor cells and the control of differentiation of stem cells within their niche. Despite the crucial importance of the cellular environment in regulating cellular signaling, in vitro methods for the study of such interactions are difficult and/or indirect.<h4>Methodology/principal findings</h4>We report on the development of an image-based method for distinguishing two cell types grown in coculture. Furthermore, cells of one type that are in direct contact with cells of a second type (adjacent cells) can be analyzed separately from cells that are not within a single well. Changes are evaluated using population statistics, which are useful in detecting subtle changes across two populations. We have used this system to characterize changes in the LNCaP prostate carcinoma cell line when grown in contact with human vascular endothelial cells (HUVECs). We find that the expression and phosphorylation of WWOX is reduced in LNCaP cells when grown in direct contact with HUVECs. Reduced WWOX signaling has been associated with reduced activation or expression of JNK and p73. We find that p73 levels are also reduced in LNCaP cells grown in contact with HUVECs, but we did not observe such a change in JNK levels.<h4>Conclusions/significance</h4>We find that the method described is statistically robust and can be adapted to a wide variety of studies where cell function or signaling are affected by heterotypic cell-cell contact. Ironically, a potential challenge to the method is its high level of sensitivity is capable of classifying events as statistically significant (due to the high number cells evaluated individually), when the biological effect may be less clear. The methodology would be best used in conjunction with additional methods to evaluate the biological role of potentially subtle differences between populations. However, many important events, such as the establishment of a metastatic tumor, occur through rare but important changes, and methods such as we describe here can be used to identify and characterize the contribution of the environment to these changes.
format	article
author	Peter Lapan Jing Zhang Andrew Hill Ying Zhang Robert Martinez Steven Haney
author_facet	Peter Lapan Jing Zhang Andrew Hill Ying Zhang Robert Martinez Steven Haney
author_sort	Peter Lapan
title	Image-based assessment of growth and signaling changes in cancer cells mediated by direct cell-cell contact.
title_short	Image-based assessment of growth and signaling changes in cancer cells mediated by direct cell-cell contact.
title_full	Image-based assessment of growth and signaling changes in cancer cells mediated by direct cell-cell contact.
title_fullStr	Image-based assessment of growth and signaling changes in cancer cells mediated by direct cell-cell contact.
title_full_unstemmed	Image-based assessment of growth and signaling changes in cancer cells mediated by direct cell-cell contact.
title_sort	image-based assessment of growth and signaling changes in cancer cells mediated by direct cell-cell contact.
publisher	Public Library of Science (PLoS)
publishDate	2009
url	https://doaj.org/article/f00d923c6b7d4158b96e1496bf2ee687
work_keys_str_mv	AT peterlapan imagebasedassessmentofgrowthandsignalingchangesincancercellsmediatedbydirectcellcellcontact AT jingzhang imagebasedassessmentofgrowthandsignalingchangesincancercellsmediatedbydirectcellcellcontact AT andrewhill imagebasedassessmentofgrowthandsignalingchangesincancercellsmediatedbydirectcellcellcontact AT yingzhang imagebasedassessmentofgrowthandsignalingchangesincancercellsmediatedbydirectcellcellcontact AT robertmartinez imagebasedassessmentofgrowthandsignalingchangesincancercellsmediatedbydirectcellcellcontact AT stevenhaney imagebasedassessmentofgrowthandsignalingchangesincancercellsmediatedbydirectcellcellcontact
_version_	1718413836663390208

Image-based assessment of growth and signaling changes in cancer cells mediated by direct cell-cell contact.

Ejemplares similares