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Intra‐heterogeneity in transcription and chemoresistant property of leukemia‐initiating cells in murine Setd2−/− acute myeloid leukemia

Background Heterogeneity of leukemia‐initiating cells (LICs) is a major obstacle in acute myeloid leukemia (AML) therapy. Accumulated evidence indicates that the coexistence of multiple types of LICs with different pathogenicity in the same individual is a common feature in AML. However, the functio...

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Published in:Cancer communications (London, England) England), 2021-09, Vol.41 (9), p.867-888
Main Authors: Song, Jiachun, Du, Longting, Liu, Ping, Wang, Fuhui, Zhang, Bo, Xie, Yinyin, Lu, Jing, Jin, Yi, Zhou, Yan, Lv, Gang, Zhang, Jianmin, Chen, Saijuan, Chen, Zhu, Sun, Xiaojian, Zhang, Yuanliang, Huang, Qiuhua
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container_issue 9
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container_title Cancer communications (London, England)
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creator Song, Jiachun
Du, Longting
Liu, Ping
Wang, Fuhui
Zhang, Bo
Xie, Yinyin
Lu, Jing
Jin, Yi
Zhou, Yan
Lv, Gang
Zhang, Jianmin
Chen, Saijuan
Chen, Zhu
Sun, Xiaojian
Zhang, Yuanliang
Huang, Qiuhua
description Background Heterogeneity of leukemia‐initiating cells (LICs) is a major obstacle in acute myeloid leukemia (AML) therapy. Accumulated evidence indicates that the coexistence of multiple types of LICs with different pathogenicity in the same individual is a common feature in AML. However, the functional heterogeneity including the drug response of coexistent LICs remains unclear. Therefore, this study aimed to clarify the intra‐heterogeneity in LICs that can help predict leukemia behavior and develop more effective treatments. Methods Spleen cells from the primary Setd2−/−‐AML mouse were transplanted into C57BL/6 recipient mice to generate a transplantable model. Flow cytometry was used to analyze the immunophenotype of the leukemic mice. Whole‐genome sequencing was conducted to detect secondary hits responsible for leukemia transformation. A serial transplantation assay was used to determine the self‐renewal potential of Setd2−/−‐AML cells. A limiting‐dilution assay was performed to identify the LIC frequency in different subsets of leukemia cells. Bulk and single‐cell RNA sequencing were performed to analyze the transcriptional heterogeneity of LICs. Small molecular inhibitor screening and in vivo drug treatment were employed to clarify the difference in drug response between the different subsets of LICs. Results In this study, we observed an aged Setd2−/− mouse developing AML with co‐mutation of NrasG12S and BrafK520E. Further investigation identified two types of LICs residing in the c‐Kit+B220+Mac‐1− and c‐Kit+B220+Mac‐1+ subsets, respectively. In vivo transplantation assay disclosed the heterogeneity in differentiation between the coexistent LICs. Besides, an intrinsic doxorubicin‐resistant transcriptional signature was uncovered in c‐Kit+B220+Mac‐1+ cells. Indeed, doxorubicin plus cytarabine (DA), the standard chemotherapeutic regimen used in AML treatment, could specifically kill c‐Kit+B220+Mac‐1− cells, but it hardly affected c‐Kit+B220+Mac‐1+ cells. Transcriptome analysis unveiled a higher activation of RAS downstream signaling pathways in c‐Kit+B220+Mac‐1+ cells than in c‐Kit+B220+Mac‐1− cells. Combined treatment with DA and RAS pathway inhibitors killed both c‐Kit+B220+Mac‐1− and c‐Kit+B220+Mac‐1+ cells and attenuated disease progression. Conclusions This study identified two cell subsets enriched for LICs in murine Setd2−/−‐AML and disclosed the transcriptional and functional heterogeneity of LICs, revealing that the coexistence of different t
doi_str_mv 10.1002/cac2.12189
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Accumulated evidence indicates that the coexistence of multiple types of LICs with different pathogenicity in the same individual is a common feature in AML. However, the functional heterogeneity including the drug response of coexistent LICs remains unclear. Therefore, this study aimed to clarify the intra‐heterogeneity in LICs that can help predict leukemia behavior and develop more effective treatments. Methods Spleen cells from the primary Setd2−/−‐AML mouse were transplanted into C57BL/6 recipient mice to generate a transplantable model. Flow cytometry was used to analyze the immunophenotype of the leukemic mice. Whole‐genome sequencing was conducted to detect secondary hits responsible for leukemia transformation. A serial transplantation assay was used to determine the self‐renewal potential of Setd2−/−‐AML cells. A limiting‐dilution assay was performed to identify the LIC frequency in different subsets of leukemia cells. Bulk and single‐cell RNA sequencing were performed to analyze the transcriptional heterogeneity of LICs. Small molecular inhibitor screening and in vivo drug treatment were employed to clarify the difference in drug response between the different subsets of LICs. Results In this study, we observed an aged Setd2−/− mouse developing AML with co‐mutation of NrasG12S and BrafK520E. Further investigation identified two types of LICs residing in the c‐Kit+B220+Mac‐1− and c‐Kit+B220+Mac‐1+ subsets, respectively. In vivo transplantation assay disclosed the heterogeneity in differentiation between the coexistent LICs. Besides, an intrinsic doxorubicin‐resistant transcriptional signature was uncovered in c‐Kit+B220+Mac‐1+ cells. Indeed, doxorubicin plus cytarabine (DA), the standard chemotherapeutic regimen used in AML treatment, could specifically kill c‐Kit+B220+Mac‐1− cells, but it hardly affected c‐Kit+B220+Mac‐1+ cells. Transcriptome analysis unveiled a higher activation of RAS downstream signaling pathways in c‐Kit+B220+Mac‐1+ cells than in c‐Kit+B220+Mac‐1− cells. Combined treatment with DA and RAS pathway inhibitors killed both c‐Kit+B220+Mac‐1− and c‐Kit+B220+Mac‐1+ cells and attenuated disease progression. Conclusions This study identified two cell subsets enriched for LICs in murine Setd2−/−‐AML and disclosed the transcriptional and functional heterogeneity of LICs, revealing that the coexistence of different types of LICs in this model brings about diverse drug response. Transcriptional and functional heterogeneity of LICs in murine Setd2−/−‐AML was explored. Coexistence of two different types of LICs in this model brings about diverse chemo‐response. Combined treatment with DA and RAS pathway inhibitors could kill both kinds of LICs and attenuate the disease progression. These findings may advance our understanding of the intra‐heterogeneity of LICs and help us to develop more efficient treatments.</description><identifier>ISSN: 2523-3548</identifier><identifier>EISSN: 2523-3548</identifier><identifier>DOI: 10.1002/cac2.12189</identifier><identifier>PMID: 34196511</identifier><language>eng</language><publisher>United States: John Wiley &amp; Sons, Inc</publisher><subject>Aged ; Animals ; Antigens ; Blood ; Bone marrow ; Cell cycle ; Cell division ; Chemotherapy ; Cloning ; DNA methylation ; drug response ; Flow cytometry ; Genomes ; Hemoglobin ; heterogeneity ; Histone-Lysine N-Methyltransferase ; Humans ; Kinases ; Leukemia ; Leukemia, Myeloid, Acute - drug therapy ; Leukemia, Myeloid, Acute - genetics ; leukemia‐initiating cell ; Medical prognosis ; Mice ; Mice, Inbred C57BL ; Original ; Patients ; Polypeptides ; Principal components analysis ; Proteins ; Setd2−/− acute myeloid leukemia ; Signal Transduction ; single‐cell RNA sequencing ; Spleen ; Stem cells ; Tumors ; Variance analysis</subject><ispartof>Cancer communications (London, England), 2021-09, Vol.41 (9), p.867-888</ispartof><rights>2021 The Authors. published by John Wiley &amp; Sons Australia, Ltd. on behalf of Sun Yat‐sen University Cancer Center</rights><rights>2021 The Authors. Cancer Communications published by John Wiley &amp; Sons Australia, Ltd. on behalf of Sun Yat-sen University Cancer Center.</rights><rights>2021. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5819-121be324bef1b861d26cee309360b760028c3ae90556ead02bdbc91bc807cc43</citedby><cites>FETCH-LOGICAL-c5819-121be324bef1b861d26cee309360b760028c3ae90556ead02bdbc91bc807cc43</cites><orcidid>0000-0001-8826-4614 ; 0000-0002-5701-0117</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8441059/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2572373460?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,11562,25753,27924,27925,37012,37013,44590,46052,46476,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34196511$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Song, Jiachun</creatorcontrib><creatorcontrib>Du, Longting</creatorcontrib><creatorcontrib>Liu, Ping</creatorcontrib><creatorcontrib>Wang, Fuhui</creatorcontrib><creatorcontrib>Zhang, Bo</creatorcontrib><creatorcontrib>Xie, Yinyin</creatorcontrib><creatorcontrib>Lu, Jing</creatorcontrib><creatorcontrib>Jin, Yi</creatorcontrib><creatorcontrib>Zhou, Yan</creatorcontrib><creatorcontrib>Lv, Gang</creatorcontrib><creatorcontrib>Zhang, Jianmin</creatorcontrib><creatorcontrib>Chen, Saijuan</creatorcontrib><creatorcontrib>Chen, Zhu</creatorcontrib><creatorcontrib>Sun, Xiaojian</creatorcontrib><creatorcontrib>Zhang, Yuanliang</creatorcontrib><creatorcontrib>Huang, Qiuhua</creatorcontrib><title>Intra‐heterogeneity in transcription and chemoresistant property of leukemia‐initiating cells in murine Setd2−/− acute myeloid leukemia</title><title>Cancer communications (London, England)</title><addtitle>Cancer Commun (Lond)</addtitle><description>Background Heterogeneity of leukemia‐initiating cells (LICs) is a major obstacle in acute myeloid leukemia (AML) therapy. Accumulated evidence indicates that the coexistence of multiple types of LICs with different pathogenicity in the same individual is a common feature in AML. However, the functional heterogeneity including the drug response of coexistent LICs remains unclear. Therefore, this study aimed to clarify the intra‐heterogeneity in LICs that can help predict leukemia behavior and develop more effective treatments. Methods Spleen cells from the primary Setd2−/−‐AML mouse were transplanted into C57BL/6 recipient mice to generate a transplantable model. Flow cytometry was used to analyze the immunophenotype of the leukemic mice. Whole‐genome sequencing was conducted to detect secondary hits responsible for leukemia transformation. A serial transplantation assay was used to determine the self‐renewal potential of Setd2−/−‐AML cells. A limiting‐dilution assay was performed to identify the LIC frequency in different subsets of leukemia cells. Bulk and single‐cell RNA sequencing were performed to analyze the transcriptional heterogeneity of LICs. Small molecular inhibitor screening and in vivo drug treatment were employed to clarify the difference in drug response between the different subsets of LICs. Results In this study, we observed an aged Setd2−/− mouse developing AML with co‐mutation of NrasG12S and BrafK520E. Further investigation identified two types of LICs residing in the c‐Kit+B220+Mac‐1− and c‐Kit+B220+Mac‐1+ subsets, respectively. In vivo transplantation assay disclosed the heterogeneity in differentiation between the coexistent LICs. Besides, an intrinsic doxorubicin‐resistant transcriptional signature was uncovered in c‐Kit+B220+Mac‐1+ cells. Indeed, doxorubicin plus cytarabine (DA), the standard chemotherapeutic regimen used in AML treatment, could specifically kill c‐Kit+B220+Mac‐1− cells, but it hardly affected c‐Kit+B220+Mac‐1+ cells. Transcriptome analysis unveiled a higher activation of RAS downstream signaling pathways in c‐Kit+B220+Mac‐1+ cells than in c‐Kit+B220+Mac‐1− cells. Combined treatment with DA and RAS pathway inhibitors killed both c‐Kit+B220+Mac‐1− and c‐Kit+B220+Mac‐1+ cells and attenuated disease progression. Conclusions This study identified two cell subsets enriched for LICs in murine Setd2−/−‐AML and disclosed the transcriptional and functional heterogeneity of LICs, revealing that the coexistence of different types of LICs in this model brings about diverse drug response. Transcriptional and functional heterogeneity of LICs in murine Setd2−/−‐AML was explored. Coexistence of two different types of LICs in this model brings about diverse chemo‐response. Combined treatment with DA and RAS pathway inhibitors could kill both kinds of LICs and attenuate the disease progression. These findings may advance our understanding of the intra‐heterogeneity of LICs and help us to develop more efficient treatments.</description><subject>Aged</subject><subject>Animals</subject><subject>Antigens</subject><subject>Blood</subject><subject>Bone marrow</subject><subject>Cell cycle</subject><subject>Cell division</subject><subject>Chemotherapy</subject><subject>Cloning</subject><subject>DNA methylation</subject><subject>drug response</subject><subject>Flow cytometry</subject><subject>Genomes</subject><subject>Hemoglobin</subject><subject>heterogeneity</subject><subject>Histone-Lysine N-Methyltransferase</subject><subject>Humans</subject><subject>Kinases</subject><subject>Leukemia</subject><subject>Leukemia, Myeloid, Acute - drug therapy</subject><subject>Leukemia, Myeloid, Acute - genetics</subject><subject>leukemia‐initiating cell</subject><subject>Medical prognosis</subject><subject>Mice</subject><subject>Mice, Inbred C57BL</subject><subject>Original</subject><subject>Patients</subject><subject>Polypeptides</subject><subject>Principal components analysis</subject><subject>Proteins</subject><subject>Setd2−/− acute myeloid leukemia</subject><subject>Signal Transduction</subject><subject>single‐cell RNA sequencing</subject><subject>Spleen</subject><subject>Stem cells</subject><subject>Tumors</subject><subject>Variance analysis</subject><issn>2523-3548</issn><issn>2523-3548</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp9kk9rFDEYhwdRbKm9-AFkwIsI2-bvbHIRymJ1oeDB3kOSeXc360yyJhllbx69VfyI_SRmOnVpPXgICcnDw5sfv6p6idEZRoicW23JGSZYyCfVMeGEzihn4umD81F1mtIWIYSlkIzT59URZVg2HOPj6mbpc9S3P35tIEMMa_Dg8r52vi7XPtnodtkFX2vf1nYDfYiQXMra53oXww5igcOq7mD4Ar0bRc677HR2fl1b6Lo0uvohOg_1Z8gtuf35-7ysWtshQ93voQuuPQheVM9Wuktwer-fVNeX768XH2dXnz4sFxdXM8sFlrPyYQOUMAMrbESDW9JYAIokbZCZNyUYYakGiThvQLeImNZYiY0VaG4toyfVctK2QW_VLrpex70K2qm7ixDXSsfsbAeqEUa3svgQR0zYRnK-YsIQgqRpCLPF9W5y7QbTQ2thTLR7JH384t1GrcM3JRjDiMsieHMviOHrACmr3qUxO-0hDEkRzuacSopFQV__g27DEH1JqlBzQueUNahQbyfKxpBShNVhGIzU2Bo1tkbdtabArx6Of0D_dqQAeAK-uw72_1GpxcWCTNI_sNPSeg</recordid><startdate>202109</startdate><enddate>202109</enddate><creator>Song, Jiachun</creator><creator>Du, Longting</creator><creator>Liu, Ping</creator><creator>Wang, Fuhui</creator><creator>Zhang, Bo</creator><creator>Xie, Yinyin</creator><creator>Lu, Jing</creator><creator>Jin, Yi</creator><creator>Zhou, Yan</creator><creator>Lv, Gang</creator><creator>Zhang, Jianmin</creator><creator>Chen, Saijuan</creator><creator>Chen, Zhu</creator><creator>Sun, Xiaojian</creator><creator>Zhang, Yuanliang</creator><creator>Huang, Qiuhua</creator><general>John Wiley &amp; 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Du, Longting ; Liu, Ping ; Wang, Fuhui ; Zhang, Bo ; Xie, Yinyin ; Lu, Jing ; Jin, Yi ; Zhou, Yan ; Lv, Gang ; Zhang, Jianmin ; Chen, Saijuan ; Chen, Zhu ; Sun, Xiaojian ; Zhang, Yuanliang ; Huang, Qiuhua</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5819-121be324bef1b861d26cee309360b760028c3ae90556ead02bdbc91bc807cc43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Aged</topic><topic>Animals</topic><topic>Antigens</topic><topic>Blood</topic><topic>Bone marrow</topic><topic>Cell cycle</topic><topic>Cell division</topic><topic>Chemotherapy</topic><topic>Cloning</topic><topic>DNA methylation</topic><topic>drug response</topic><topic>Flow cytometry</topic><topic>Genomes</topic><topic>Hemoglobin</topic><topic>heterogeneity</topic><topic>Histone-Lysine N-Methyltransferase</topic><topic>Humans</topic><topic>Kinases</topic><topic>Leukemia</topic><topic>Leukemia, Myeloid, Acute - drug therapy</topic><topic>Leukemia, Myeloid, Acute - genetics</topic><topic>leukemia‐initiating cell</topic><topic>Medical prognosis</topic><topic>Mice</topic><topic>Mice, Inbred C57BL</topic><topic>Original</topic><topic>Patients</topic><topic>Polypeptides</topic><topic>Principal components analysis</topic><topic>Proteins</topic><topic>Setd2−/− acute myeloid leukemia</topic><topic>Signal Transduction</topic><topic>single‐cell RNA sequencing</topic><topic>Spleen</topic><topic>Stem cells</topic><topic>Tumors</topic><topic>Variance analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Song, Jiachun</creatorcontrib><creatorcontrib>Du, Longting</creatorcontrib><creatorcontrib>Liu, Ping</creatorcontrib><creatorcontrib>Wang, Fuhui</creatorcontrib><creatorcontrib>Zhang, Bo</creatorcontrib><creatorcontrib>Xie, Yinyin</creatorcontrib><creatorcontrib>Lu, Jing</creatorcontrib><creatorcontrib>Jin, Yi</creatorcontrib><creatorcontrib>Zhou, Yan</creatorcontrib><creatorcontrib>Lv, Gang</creatorcontrib><creatorcontrib>Zhang, Jianmin</creatorcontrib><creatorcontrib>Chen, Saijuan</creatorcontrib><creatorcontrib>Chen, Zhu</creatorcontrib><creatorcontrib>Sun, Xiaojian</creatorcontrib><creatorcontrib>Zhang, Yuanliang</creatorcontrib><creatorcontrib>Huang, Qiuhua</creatorcontrib><collection>Open Access: Wiley-Blackwell Open Access Journals</collection><collection>Wiley Online Library Free Content</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing &amp; 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Accumulated evidence indicates that the coexistence of multiple types of LICs with different pathogenicity in the same individual is a common feature in AML. However, the functional heterogeneity including the drug response of coexistent LICs remains unclear. Therefore, this study aimed to clarify the intra‐heterogeneity in LICs that can help predict leukemia behavior and develop more effective treatments. Methods Spleen cells from the primary Setd2−/−‐AML mouse were transplanted into C57BL/6 recipient mice to generate a transplantable model. Flow cytometry was used to analyze the immunophenotype of the leukemic mice. Whole‐genome sequencing was conducted to detect secondary hits responsible for leukemia transformation. A serial transplantation assay was used to determine the self‐renewal potential of Setd2−/−‐AML cells. A limiting‐dilution assay was performed to identify the LIC frequency in different subsets of leukemia cells. Bulk and single‐cell RNA sequencing were performed to analyze the transcriptional heterogeneity of LICs. Small molecular inhibitor screening and in vivo drug treatment were employed to clarify the difference in drug response between the different subsets of LICs. Results In this study, we observed an aged Setd2−/− mouse developing AML with co‐mutation of NrasG12S and BrafK520E. Further investigation identified two types of LICs residing in the c‐Kit+B220+Mac‐1− and c‐Kit+B220+Mac‐1+ subsets, respectively. In vivo transplantation assay disclosed the heterogeneity in differentiation between the coexistent LICs. Besides, an intrinsic doxorubicin‐resistant transcriptional signature was uncovered in c‐Kit+B220+Mac‐1+ cells. Indeed, doxorubicin plus cytarabine (DA), the standard chemotherapeutic regimen used in AML treatment, could specifically kill c‐Kit+B220+Mac‐1− cells, but it hardly affected c‐Kit+B220+Mac‐1+ cells. Transcriptome analysis unveiled a higher activation of RAS downstream signaling pathways in c‐Kit+B220+Mac‐1+ cells than in c‐Kit+B220+Mac‐1− cells. Combined treatment with DA and RAS pathway inhibitors killed both c‐Kit+B220+Mac‐1− and c‐Kit+B220+Mac‐1+ cells and attenuated disease progression. Conclusions This study identified two cell subsets enriched for LICs in murine Setd2−/−‐AML and disclosed the transcriptional and functional heterogeneity of LICs, revealing that the coexistence of different types of LICs in this model brings about diverse drug response. Transcriptional and functional heterogeneity of LICs in murine Setd2−/−‐AML was explored. Coexistence of two different types of LICs in this model brings about diverse chemo‐response. Combined treatment with DA and RAS pathway inhibitors could kill both kinds of LICs and attenuate the disease progression. These findings may advance our understanding of the intra‐heterogeneity of LICs and help us to develop more efficient treatments.</abstract><cop>United States</cop><pub>John Wiley &amp; Sons, Inc</pub><pmid>34196511</pmid><doi>10.1002/cac2.12189</doi><tpages>22</tpages><orcidid>https://orcid.org/0000-0001-8826-4614</orcidid><orcidid>https://orcid.org/0000-0002-5701-0117</orcidid><oa>free_for_read</oa></addata></record>
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identifier ISSN: 2523-3548
ispartof Cancer communications (London, England), 2021-09, Vol.41 (9), p.867-888
issn 2523-3548
2523-3548
language eng
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source PubMed (Medline); Open Access: Wiley-Blackwell Open Access Journals; Publicly Available Content (ProQuest)
subjects Aged
Animals
Antigens
Blood
Bone marrow
Cell cycle
Cell division
Chemotherapy
Cloning
DNA methylation
drug response
Flow cytometry
Genomes
Hemoglobin
heterogeneity
Histone-Lysine N-Methyltransferase
Humans
Kinases
Leukemia
Leukemia, Myeloid, Acute - drug therapy
Leukemia, Myeloid, Acute - genetics
leukemia‐initiating cell
Medical prognosis
Mice
Mice, Inbred C57BL
Original
Patients
Polypeptides
Principal components analysis
Proteins
Setd2−/− acute myeloid leukemia
Signal Transduction
single‐cell RNA sequencing
Spleen
Stem cells
Tumors
Variance analysis
title Intra‐heterogeneity in transcription and chemoresistant property of leukemia‐initiating cells in murine Setd2−/− acute myeloid leukemia
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