Identifying luminal and basal mammary cell specific genes and their expression patterns during pregnancy
Mammary gland is present in all mammals and usually functions in producing milk to feed the young offspring. Mammogenesis refers to the growth and development of mammary gland, which begins at puberty and ends after lactation. Pregnancy is regulated by various cytokines, which further contributes to...
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description | Mammary gland is present in all mammals and usually functions in producing milk to feed the young offspring. Mammogenesis refers to the growth and development of mammary gland, which begins at puberty and ends after lactation. Pregnancy is regulated by various cytokines, which further contributes to mammary gland development. Epithelial cells, including basal and luminal cells, are one of the major components of mammary gland cells. The development of basal and luminal cells has been observed to significantly differ at different stages. However, the underlying mechanisms for differences between basal and luminal cells have not been fully studied. To explore the mechanisms underlying the differentiation of mammary progenitors or their offspring into luminal and myoepithelial cells, the single-cell sequencing data on mammary epithelia cells of virgin and pregnant mouse was deeply investigated in this work. We evaluated features by using Monte Carlo feature selection and plotted the incremental feature selection curve with support vector machine or RIPPER to find the optimal gene features and rules that can divide epithelial cells into four clusters with different cell subtypes like basal and luminal cells and different phases like pregnancy and virginity. As representations, the feature genes Cldn7, Gjb6, Sparc, Cldn3, Cited1, Krt17, Spp1, Cldn4, Gjb2 and Cldn19 might play an important role in classifying the epithelial mammary cells. Notably, seven most important rules based on the combination of cell-specific and tissue-specific expressions of feature genes effectively classify the epithelial mammary cells in a quantitative and interpretable manner. |
doi_str_mv | 10.1371/journal.pone.0267211 |
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Mammogenesis refers to the growth and development of mammary gland, which begins at puberty and ends after lactation. Pregnancy is regulated by various cytokines, which further contributes to mammary gland development. Epithelial cells, including basal and luminal cells, are one of the major components of mammary gland cells. The development of basal and luminal cells has been observed to significantly differ at different stages. However, the underlying mechanisms for differences between basal and luminal cells have not been fully studied. To explore the mechanisms underlying the differentiation of mammary progenitors or their offspring into luminal and myoepithelial cells, the single-cell sequencing data on mammary epithelia cells of virgin and pregnant mouse was deeply investigated in this work. We evaluated features by using Monte Carlo feature selection and plotted the incremental feature selection curve with support vector machine or RIPPER to find the optimal gene features and rules that can divide epithelial cells into four clusters with different cell subtypes like basal and luminal cells and different phases like pregnancy and virginity. As representations, the feature genes Cldn7, Gjb6, Sparc, Cldn3, Cited1, Krt17, Spp1, Cldn4, Gjb2 and Cldn19 might play an important role in classifying the epithelial mammary cells. Notably, seven most important rules based on the combination of cell-specific and tissue-specific expressions of feature genes effectively classify the epithelial mammary cells in a quantitative and interpretable manner.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0267211</identifier><identifier>PMID: 35486595</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Animals ; Big Data ; Biology and Life Sciences ; Breastfeeding & lactation ; Cell Differentiation - genetics ; Classification ; Computer and Information Sciences ; Computer centers ; Cytokines ; Decision trees ; Engineering ; Epithelial cells ; Epithelial Cells - metabolism ; Epithelium ; Estrogens ; Feature selection ; Female ; Gene expression ; Genes ; Genetic aspects ; Health aspects ; Laboratories ; Lactation ; Lactation - genetics ; Mammals ; Mammary gland ; Mammary glands ; Mammary Glands, Animal - metabolism ; Medicine and Health Sciences ; Menstruation ; Mice ; Milk ; Nutrition ; Offspring ; Osteonectin ; Physical Sciences ; Pregnancy ; Pregnant women ; Progenitor cells ; Progeny ; Puberty ; Research and Analysis Methods ; Sexual Maturation ; Support vector machines ; Transcription factors ; Virginity</subject><ispartof>PloS one, 2022-04, Vol.17 (4), p.e0267211-e0267211</ispartof><rights>COPYRIGHT 2022 Public Library of Science</rights><rights>2022 Li et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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Mammogenesis refers to the growth and development of mammary gland, which begins at puberty and ends after lactation. Pregnancy is regulated by various cytokines, which further contributes to mammary gland development. Epithelial cells, including basal and luminal cells, are one of the major components of mammary gland cells. The development of basal and luminal cells has been observed to significantly differ at different stages. However, the underlying mechanisms for differences between basal and luminal cells have not been fully studied. To explore the mechanisms underlying the differentiation of mammary progenitors or their offspring into luminal and myoepithelial cells, the single-cell sequencing data on mammary epithelia cells of virgin and pregnant mouse was deeply investigated in this work. We evaluated features by using Monte Carlo feature selection and plotted the incremental feature selection curve with support vector machine or RIPPER to find the optimal gene features and rules that can divide epithelial cells into four clusters with different cell subtypes like basal and luminal cells and different phases like pregnancy and virginity. As representations, the feature genes Cldn7, Gjb6, Sparc, Cldn3, Cited1, Krt17, Spp1, Cldn4, Gjb2 and Cldn19 might play an important role in classifying the epithelial mammary cells. Notably, seven most important rules based on the combination of cell-specific and tissue-specific expressions of feature genes effectively classify the epithelial mammary cells in a quantitative and interpretable manner.</description><subject>Animals</subject><subject>Big Data</subject><subject>Biology and Life Sciences</subject><subject>Breastfeeding & lactation</subject><subject>Cell Differentiation - genetics</subject><subject>Classification</subject><subject>Computer and Information Sciences</subject><subject>Computer centers</subject><subject>Cytokines</subject><subject>Decision trees</subject><subject>Engineering</subject><subject>Epithelial cells</subject><subject>Epithelial Cells - metabolism</subject><subject>Epithelium</subject><subject>Estrogens</subject><subject>Feature selection</subject><subject>Female</subject><subject>Gene expression</subject><subject>Genes</subject><subject>Genetic aspects</subject><subject>Health aspects</subject><subject>Laboratories</subject><subject>Lactation</subject><subject>Lactation - genetics</subject><subject>Mammals</subject><subject>Mammary gland</subject><subject>Mammary glands</subject><subject>Mammary Glands, Animal - metabolism</subject><subject>Medicine and Health Sciences</subject><subject>Menstruation</subject><subject>Mice</subject><subject>Milk</subject><subject>Nutrition</subject><subject>Offspring</subject><subject>Osteonectin</subject><subject>Physical Sciences</subject><subject>Pregnancy</subject><subject>Pregnant women</subject><subject>Progenitor cells</subject><subject>Progeny</subject><subject>Puberty</subject><subject>Research and Analysis Methods</subject><subject>Sexual Maturation</subject><subject>Support vector machines</subject><subject>Transcription factors</subject><subject>Virginity</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk12L1DAUhoso7rr6D0QLgujFjEnaNDM3wrL4MbCw4NdtOE1OOxnapCat7Px705nuMpW9kFwkJM95T86bnCR5ScmSZoJ-2LnBW2iWnbO4JKwQjNJHyTldZ2xRMJI9PlmfJc9C2BHCs1VRPE3OMp6vCr7m58l2o9H2ptobW6fN0JoomYLVaQkhrlpoW_D7VGHTpKFDZSqj0hothgPVb9H4FG87jyEYZ9MO-h69Dake_CgZD2oLVu2fJ08qaAK-mOaL5OfnTz-uvi6ub75sri6vF6rIab_gGhXLRS645gUtUIAAygnXZSxQ6zVZQZGXBMpKUQDA9UoxFFgwTaqcUpFdJK-Pul3jgpxMCpIVXGSUZ5xFYnMktIOd7LwZK5QOjDxsOF9L8L1RDUpV5lBCqQTnZS6Ag9CUlSWpMga6xCpqfZyyDWWLWkUvPTQz0fmJNVtZuz9yPb4FyaPAu0nAu98Dhl62Joxug0U3HO69YizmX0X0zT_ow9VNVA2xAGMrF_OqUVReCsIIzTktIrV8gIpDY2tU_FGVifuzgPezgMj0eNvXMIQgN9-__T9782vOvj1htwhNvw2uGfr4mcIczI-g8i4Ej9W9yZTIsSHu3JBjQ8ipIWLYq9MHug-664DsLxYHB_I</recordid><startdate>20220429</startdate><enddate>20220429</enddate><creator>Li, Zhan Dong</creator><creator>Yu, Xiangtian</creator><creator>Mei, Zi</creator><creator>Zeng, Tao</creator><creator>Chen, Lei</creator><creator>Xu, Xian Ling</creator><creator>Li, Hao</creator><creator>Huang, Tao</creator><creator>Cai, Yu-Dong</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-5664-7979</orcidid></search><sort><creationdate>20220429</creationdate><title>Identifying luminal and basal mammary cell specific genes and their expression patterns during pregnancy</title><author>Li, Zhan Dong ; Yu, Xiangtian ; Mei, Zi ; Zeng, Tao ; Chen, Lei ; Xu, Xian Ling ; Li, Hao ; Huang, Tao ; Cai, Yu-Dong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c641t-5dec247475d5616e7a7a1505db672dd908a64b0abfc1aaae98c2e7e62d0f41173</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Animals</topic><topic>Big Data</topic><topic>Biology and Life Sciences</topic><topic>Breastfeeding & lactation</topic><topic>Cell Differentiation - 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Mammogenesis refers to the growth and development of mammary gland, which begins at puberty and ends after lactation. Pregnancy is regulated by various cytokines, which further contributes to mammary gland development. Epithelial cells, including basal and luminal cells, are one of the major components of mammary gland cells. The development of basal and luminal cells has been observed to significantly differ at different stages. However, the underlying mechanisms for differences between basal and luminal cells have not been fully studied. To explore the mechanisms underlying the differentiation of mammary progenitors or their offspring into luminal and myoepithelial cells, the single-cell sequencing data on mammary epithelia cells of virgin and pregnant mouse was deeply investigated in this work. We evaluated features by using Monte Carlo feature selection and plotted the incremental feature selection curve with support vector machine or RIPPER to find the optimal gene features and rules that can divide epithelial cells into four clusters with different cell subtypes like basal and luminal cells and different phases like pregnancy and virginity. As representations, the feature genes Cldn7, Gjb6, Sparc, Cldn3, Cited1, Krt17, Spp1, Cldn4, Gjb2 and Cldn19 might play an important role in classifying the epithelial mammary cells. Notably, seven most important rules based on the combination of cell-specific and tissue-specific expressions of feature genes effectively classify the epithelial mammary cells in a quantitative and interpretable manner.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>35486595</pmid><doi>10.1371/journal.pone.0267211</doi><tpages>e0267211</tpages><orcidid>https://orcid.org/0000-0001-5664-7979</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Animals Big Data Biology and Life Sciences Breastfeeding & lactation Cell Differentiation - genetics Classification Computer and Information Sciences Computer centers Cytokines Decision trees Engineering Epithelial cells Epithelial Cells - metabolism Epithelium Estrogens Feature selection Female Gene expression Genes Genetic aspects Health aspects Laboratories Lactation Lactation - genetics Mammals Mammary gland Mammary glands Mammary Glands, Animal - metabolism Medicine and Health Sciences Menstruation Mice Milk Nutrition Offspring Osteonectin Physical Sciences Pregnancy Pregnant women Progenitor cells Progeny Puberty Research and Analysis Methods Sexual Maturation Support vector machines Transcription factors Virginity |
title | Identifying luminal and basal mammary cell specific genes and their expression patterns during pregnancy |
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