{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,24]],"date-time":"2026-10-24T00:20:00Z","timestamp":1792801200109,"version":"4.5.0"},"reference-count":44,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2024,7,20]],"date-time":"2024-07-20T00:00:00Z","timestamp":1721433600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2024,7,20]],"date-time":"2024-07-20T00:00:00Z","timestamp":1721433600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"Tianjin Medical University Talent Program","award":["No.82170173"],"award-info":[{"award-number":["No.82170173"]}],"id":[{"id":"https:\/\/ror.org\/02mh8wx89","id-type":"ROR","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"National Science Foundation of China","doi-asserted-by":"crossref","award":["No. 82371789"],"award-info":[{"award-number":["No. 82371789"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Tianjin Medical Key Discipline Construction Project","award":["TJYXZDXK-028A"],"award-info":[{"award-number":["TJYXZDXK-028A"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Transl Med"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>\n                      Myelodysplastic syndrome (MDS) is a\u00a0complicated hematopoietic malignancy characterized by bone marrow (BM) dysplasia with symptoms like anemia, neutropenia, or thrombocytopenia. MDS exhibits considerable heterogeneity in prognosis, with approximately 30% of patients progressing to acute myeloid leukemia (AML). Single cell RNA-sequencing (scRNA-seq) is a new\u00a0and powerful technique to profile disease landscapes. However, the current available scRNA-seq datasets for MDS are only focused on CD34\n                      <jats:sup>+<\/jats:sup>\n                      hematopoietic progenitor cells. We argue that using entire BM cell for MDS studies\u00a0probably will be more informative for understanding the\u00a0pathophysiology of\u00a0MDS.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Five MDS patients and four healthy donors were enrolled in the study. Unsorted cells from BM aspiration were collected for scRNA-seq analysis to profile overall alteration in hematopoiesis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Standard scRNA-seq analysis of unsorted BM cells successfully profiles deficient hematopoiesis in all five MDS patients, with three classified as high-risk and two as low-risk. While no significant increase in mutation burden was observed, high-risk MDS patients exhibited T-cell activation and abnormal myelogenesis at the stages\u00a0between hematopoietic stem and progenitor cells (HSPC) and granulocyte\u2013macrophage progenitors (GMP). Transcriptional factor analysis on the aberrant myelogenesis suggests that the epigenetic regulator chromatin structural protein-encoding gene\n                      <jats:italic>HMGA1<\/jats:italic>\n                      is highly activated in the high-risk MDS group and moderately activated in the low-risk MDS group. Perturbation of\n                      <jats:italic>HMGA1<\/jats:italic>\n                      by CellOracle simulated deficient hematopoiesis in mouse Lineage-negative (Lin\n                      <jats:sup>-<\/jats:sup>\n                      )\u00a0BM cells. Projecting MDS and AML cells on a BM cell reference by our newly developed MarcoPolo pipeline\u00a0intuitively visualizes a connection for myeloid leukemia development and abnormalities of hematopoietic hierarchy, indicating that\u00a0it is technically feasible to integrate all diseased bone marrow cells on a common reference map\u00a0even when the size of the cohort reaches to 1,000 patients or more.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Through scRNA-seq analysis on unsorted cells from\u00a0BM aspiration samples of MDS\u00a0patients, this study systematically profiled the development abnormalities\u00a0in hematopoiesis, heterogeneity of risk,\u00a0and T-cell microenvironment at the single cell level.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1186\/s12967-024-05496-x","type":"journal-article","created":{"date-parts":[[2024,7,20]],"date-time":"2024-07-20T09:01:43Z","timestamp":1721466103000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Computing cell state discriminates the aberrant hematopoiesis and activated microenvironment in Myelodysplastic syndrome (MDS) through a single cell genomic study"],"prefix":"10.1186","volume":"22","author":[{"given":"Xinyu","family":"Guo","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenyan","family":"Jin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuchen","family":"Wen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiqin","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaotong","family":"Ren","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhaoyun","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rong","family":"Fu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-2416-9951","authenticated-orcid":false,"given":"Zhigang","family":"Cai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lijuan","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,7,20]]},"reference":[{"key":"5496_CR1","doi-asserted-by":"publisher","first-page":"6071","DOI":"10.1038\/s41467-021-26282-z","volume":"12","author":"HA Abbas","year":"2021","unstructured":"Abbas HA, Hao D, Tomczak K, Barrodia P, Im JS, Reville PK, Alaniz Z, Wang W, Wang R, Wang F, et al. Single cell T cell landscape and T cell receptor repertoire profiling of AML in context of PD-1 blockade therapy. Nat Commun. 2021;12:6071.","journal-title":"Nat Commun"},{"key":"5496_CR2","doi-asserted-by":"publisher","first-page":"1083","DOI":"10.1038\/nmeth.4463","volume":"14","author":"S Aibar","year":"2017","unstructured":"Aibar S, Gonz\u00e1lez-Blas CB, Moerman T, Huynh-Thu VA, Imrichova H, Hulselmans G, Rambow F, Marine J-C, Geurts P, Aerts J, et al. SCENIC: single-cell regulatory network inference and clustering. Nat Methods. 2017;14:1083\u20136.","journal-title":"Nat Methods"},{"key":"5496_CR3","doi-asserted-by":"publisher","DOI":"10.7554\/eLife.79363","author":"M Ainciburu","year":"2023","unstructured":"Ainciburu M, Ezponda T, Berastegui N, Alfonso-Pierola A, Vilas-Zornoza A, San Martin-Uriz P, Alignani D, Lamo-Espinosa J, San-Julian M, Jim\u00e9nez-Solas T, et al. Uncovering perturbations in human hematopoiesis associated with healthy aging and myeloid malignancies at single-cell resolution. Elife. 2023. https:\/\/doi.org\/10.7554\/eLife.79363.","journal-title":"Elife"},{"key":"5496_CR4","doi-asserted-by":"publisher","first-page":"2628","DOI":"10.1056\/NEJMoa2026834","volume":"383","author":"DB Beck","year":"2020","unstructured":"Beck DB, Ferrada MA, Sikora KA, Ombrello AK, Collins JC, Pei W, Balanda N, Ross DL, Ospina Cardona D, Wu Z, et al. Somatic Mutations in UBA1 and severe adult-onset autoinflammatory disease. N Engl J Med. 2020;383:2628\u201338.","journal-title":"N Engl J Med"},{"key":"5496_CR5","doi-asserted-by":"publisher","first-page":"7619","DOI":"10.1038\/s41467-022-35192-7","volume":"13","author":"N Berastegui","year":"2022","unstructured":"Berastegui N, Ainciburu M, Romero JP, Garcia-Olloqui P, Alfonso-Pierola A, Philippe C, Vilas-Zornoza A, San Martin-Uriz P, Ruiz-Hern\u00e1ndez R, Abarrategi A, et al. The transcription factor DDIT3 is a potential driver of dyserythropoiesis in myelodysplastic syndromes. Nat Commun. 2022;13:7619.","journal-title":"Nat Commun"},{"key":"5496_CR6","doi-asserted-by":"publisher","first-page":"1355","DOI":"10.1038\/s41592-023-01938-4","volume":"20","author":"C Bravo Gonz\u00e1lez-Blas","year":"2023","unstructured":"Bravo Gonz\u00e1lez-Blas C, De Winter S, Hulselmans G, Hecker N, Matetovici I, Christiaens V, Poovathingal S, Wouters J, Aibar S, Aerts S. SCENIC+: single-cell multiomic inference of enhancers and gene regulatory networks. Nat Methods. 2023;20:1355\u201367.","journal-title":"Nat Methods"},{"key":"5496_CR7","doi-asserted-by":"publisher","first-page":"1358","DOI":"10.1056\/NEJMra1904794","volume":"383","author":"M Cazzola","year":"2020","unstructured":"Cazzola M. Myelodysplastic syndromes. N Engl J Med. 2020;383:1358\u201374.","journal-title":"N Engl J Med"},{"key":"5496_CR8","doi-asserted-by":"publisher","first-page":"1262","DOI":"10.1016\/j.stem.2023.07.012","volume":"30","author":"M Cort\u00e9s-L\u00f3pez","year":"2023","unstructured":"Cort\u00e9s-L\u00f3pez M, Chamely P, Hawkins AG, Stanley RF, Swett AD, Ganesan S, Mouhieddine TH, Dai X, Kluegel L, Chen C, et al. Single-cell multi-omics defines the cell-type-specific impact of splicing aberrations in human hematopoietic clonal outgrowths. Cell Stem Cell. 2023;30:1262-1281.e1268.","journal-title":"Cell Stem Cell"},{"key":"5496_CR9","doi-asserted-by":"publisher","first-page":"1136","DOI":"10.1056\/NEJMra1406184","volume":"373","author":"H D\u00f6hner","year":"2015","unstructured":"D\u00f6hner H, Weisdorf DJ, Bloomfield CD. Acute myeloid leukemia. N Engl J Med. 2015;373:1136\u201352.","journal-title":"N Engl J Med"},{"key":"5496_CR10","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1182\/blood-2020-136034","volume":"136","author":"K Ebisawa","year":"2020","unstructured":"Ebisawa K, Masamoto Y, Kurokawa M. HMGA1 is upregulated in myelodysplastic syndromes with mutation in Pre-mRNA splicing genes and inhibits Leukemia cell differentiation. Blood. 2020;136:32\u201332.","journal-title":"Blood"},{"key":"5496_CR11","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2116427118","author":"F Ferraro","year":"2021","unstructured":"Ferraro F, Miller CA, Christensen KA, Helton NM, O\u2019Laughlin M, Fronick CC, Fulton RS, Kohlschmidt J, Eisfeld AK, Bloomfield CD, et al. Immunosuppression and outcomes in adult patients with de novo acute myeloid leukemia with normal karyotypes. Proc Natl Acad Sci U S A. 2021. https:\/\/doi.org\/10.1073\/pnas.2116427118.","journal-title":"Proc Natl Acad Sci U S A"},{"key":"5496_CR12","doi-asserted-by":"publisher","first-page":"1458","DOI":"10.1038\/leu.2015.69","volume":"29","author":"I Ga\u00f1\u00e1n-G\u00f3mez","year":"2015","unstructured":"Ga\u00f1\u00e1n-G\u00f3mez I, Wei Y, Starczynowski DT, Colla S, Yang H, Cabrero-Calvo M, Bohannan ZS, Verma A, Steidl U, Garcia-Manero G. Deregulation of innate immune and inflammatory signaling in myelodysplastic syndromes. Leukemia. 2015;29:1458\u201369.","journal-title":"Leukemia"},{"key":"5496_CR13","doi-asserted-by":"publisher","first-page":"557","DOI":"10.1038\/s41591-022-01696-4","volume":"28","author":"I Ganan-Gomez","year":"2022","unstructured":"Ganan-Gomez I, Yang H, Ma F, Montalban-Bravo G, Thongon N, Marchica V, Richard-Carpentier G, Chien K, Manyam G, Wang F, et al. Stem cell architecture drives myelodysplastic syndrome progression and predicts response to venetoclax-based therapy. Nat Med. 2022;28:557\u201367.","journal-title":"Nat Med"},{"key":"5496_CR14","doi-asserted-by":"publisher","first-page":"5901","DOI":"10.1038\/ncomms6901","volume":"6","author":"M Gerstung","year":"2015","unstructured":"Gerstung M, Pellagatti A, Malcovati L, Giagounidis A, Porta MG, J\u00e4dersten M, Dolatshad H, Verma A, Cross NC, Vyas P, et al. Combining gene mutation with gene expression data improves outcome prediction in myelodysplastic syndromes. Nat Commun. 2015;6:5901.","journal-title":"Nat Commun"},{"key":"5496_CR15","doi-asserted-by":"publisher","first-page":"316","DOI":"10.1158\/2643-3230.BCD-21-0128","volume":"3","author":"T Guess","year":"2022","unstructured":"Guess T, Potts CR, Bhat P, Cartailler JA, Brooks A, Holt C, Yenamandra A, Wheeler FC, Savona MR, Cartailler JP, et al. Distinct patterns of clonal evolution drive myelodysplastic syndrome progression to secondary acute myeloid Leukemia. Blood Cancer Discov. 2022;3:316\u201329.","journal-title":"Blood Cancer Discov"},{"key":"5496_CR16","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1007\/s12672-022-00516-y","volume":"13","author":"H He","year":"2022","unstructured":"He H, Wang Z, Yu H, Zhang G, Wen Y, Cai Z. Prioritizing risk genes as novel stratification biomarkers for acute monocytic leukemia by integrative analysis. Discover Oncol. 2022;13:55.","journal-title":"Discover Oncol"},{"key":"5496_CR17","doi-asserted-by":"publisher","first-page":"1088","DOI":"10.1038\/s41467-021-21246-9","volume":"12","author":"S Jin","year":"2021","unstructured":"Jin S, Guerrero-Juarez CF, Zhang L, Chang I, Ramos R, Kuan C-H, Myung P, Plikus MV, Nie Q. Inference and analysis of cell-cell communication using cell chat. Nat Commun. 2021;12:1088.","journal-title":"Nat Commun"},{"key":"5496_CR18","doi-asserted-by":"publisher","first-page":"4155","DOI":"10.1158\/1078-0432.CCR-18-3517","volume":"25","author":"AYF Kam","year":"2019","unstructured":"Kam AYF, Piryani SO, McCall CM, Park HS, Rizzieri DA, Doan PL. Targeting high mobility group box-1 (HMGB1) promotes cell death in myelodysplastic syndrome. Clin Cancer Res. 2019;25:4155\u201367.","journal-title":"Clin Cancer Res"},{"key":"5496_CR19","doi-asserted-by":"publisher","first-page":"742","DOI":"10.1038\/s41586-022-05688-9","volume":"614","author":"K Kamimoto","year":"2023","unstructured":"Kamimoto K, Stringa B, Hoffmann CM, Jindal K, Solnica-Krezel L, Morris SA. Dissecting cell identity via network inference and in silico gene perturbation. Nature. 2023;614:742\u201351.","journal-title":"Nature"},{"key":"5496_CR20","doi-asserted-by":"publisher","first-page":"e0120602","DOI":"10.1371\/journal.pone.0120602","volume":"10","author":"M Kim","year":"2015","unstructured":"Kim M, Hwang S, Park K, Kim SY, Lee YK, Lee DS. Increased expression of interferon signaling genes in the bone marrow microenvironment of myelodysplastic syndromes. PLoS ONE. 2015;10:e0120602.","journal-title":"PLoS ONE"},{"key":"5496_CR21","doi-asserted-by":"publisher","first-page":"1751","DOI":"10.1038\/s41375-020-01054-8","volume":"35","author":"S Kumar","year":"2021","unstructured":"Kumar S, Nattamai KJ, Hassan A, Amoah A, Karns R, Zhang C, Liang Y, Shimamura A, Florian MC, Bissels U, et al. Repolarization of HSC attenuates HSCs failure in Shwachman-diamond syndrome. Leukemia. 2021;35:1751\u201362.","journal-title":"Leukemia"},{"key":"5496_CR22","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1038\/s41572-022-00402-5","volume":"8","author":"H Li","year":"2022","unstructured":"Li H, Hu F, Gale RP, Sekeres MA, Liang Y. Myelodysplastic syndromes. Nat Rev Dis Primers. 2022;8:74.","journal-title":"Nat Rev Dis Primers"},{"key":"5496_CR23","doi-asserted-by":"publisher","first-page":"2797","DOI":"10.1182\/blood.2021013925","volume":"139","author":"L Li","year":"2022","unstructured":"Li L, Kim JH, Lu W, Williams DM, Kim J, Cope L, Rampal RK, Koche RP, Xian L, Luo LZ, et al. HMGA1 chromatin regulators induce transcriptional networks involved in GATA2 and proliferation during MPN progression. Blood. 2022;139:2797\u2013815.","journal-title":"Blood"},{"key":"5496_CR24","doi-asserted-by":"publisher","first-page":"1348","DOI":"10.1136\/ard-2023-224363","volume":"82","author":"Y Li","year":"2023","unstructured":"Li Y, Wang Z, Han F, Zhang M, Yang T, Chen M, Du J, Wang Y, Zhu L, Hou H, et al. Single-cell transcriptome analysis profiles cellular and molecular alterations in submandibular gland and blood in IgG4-related disease. Ann Rheum Dis. 2023;82:1348\u201358.","journal-title":"Ann Rheum Dis"},{"key":"5496_CR25","doi-asserted-by":"publisher","first-page":"758","DOI":"10.1038\/s41587-023-01863-z","volume":"42","author":"F Muyas","year":"2023","unstructured":"Muyas F, Sauer CM, Valle-Incl\u00e1n JE, Li R, Rahbari R, Mitchell TJ, Hormoz S, Cort\u00e9s-Ciriano I. De novo detection of somatic mutations in high-throughput single-cell profiling data sets. Nat Biotechnol. 2023;42:758.","journal-title":"Nat Biotechnol"},{"key":"5496_CR26","doi-asserted-by":"publisher","first-page":"6493","DOI":"10.1126\/science.adf6493","volume":"383","author":"MSF Ng","year":"2024","unstructured":"Ng MSF, Kwok I, Tan L, Shi C, Cerezo-Wallis D, Tan Y, Leong K, Calvo GF, Yang K, Zhang Y, et al. Deterministic reprogramming of neutrophils within tumors. Science. 2024;383:6493.","journal-title":"Science"},{"key":"5496_CR27","doi-asserted-by":"publisher","first-page":"1049","DOI":"10.1182\/blood-2018-10-844621","volume":"133","author":"S Ogawa","year":"2019","unstructured":"Ogawa S. Genetics of MDS. Blood. 2019;133:1049\u201359.","journal-title":"Blood"},{"key":"5496_CR28","doi-asserted-by":"publisher","first-page":"352","DOI":"10.1002\/ajh.26455","volume":"97","author":"MM Patnaik","year":"2022","unstructured":"Patnaik MM, Tefferi A. Chronic myelomonocytic leukemia: 2022 update on diagnosis, risk stratification, and management. Am J Hematol. 2022;97:352\u201372.","journal-title":"Am J Hematol"},{"key":"5496_CR29","doi-asserted-by":"publisher","first-page":"1663","DOI":"10.1016\/j.cell.2015.11.013","volume":"163","author":"F Paul","year":"2015","unstructured":"Paul F, Arkin Y, Giladi A, Jaitin DA, Kenigsberg E, Keren-Shaul H, Winter D, Lara-Astiaso D, Gury M, Weiner A, et al. Transcriptional heterogeneity and lineage commitment in myeloid progenitors. Cell. 2015;163:1663\u201377.","journal-title":"Cell"},{"key":"5496_CR30","doi-asserted-by":"publisher","first-page":"3660","DOI":"10.1038\/s41467-019-11591-1","volume":"10","author":"AA Petti","year":"2019","unstructured":"Petti AA, Williams SR, Miller CA, Fiddes IT, Srivatsan SN, Chen DY, Fronick CC, Fulton RS, Church DM, Ley TJ. A general approach for detecting expressed mutations in AML cells using single cell RNA-sequencing. Nat Commun. 2019;10:3660.","journal-title":"Nat Commun"},{"key":"5496_CR31","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1038\/s41421-020-00223-4","volume":"7","author":"P Qin","year":"2021","unstructured":"Qin P, Pang Y, Hou W, Fu R, Zhang Y, Wang X, Meng G, Liu Q, Zhu X, Hong N, et al. Integrated decoding hematopoiesis and leukemogenesis using single-cell sequencing and its medical implication. Cell Discov. 2021;7:2.","journal-title":"Cell Discov"},{"key":"5496_CR32","doi-asserted-by":"publisher","first-page":"458","DOI":"10.1158\/0008-5472.CAN-18-2932","volume":"80","author":"K Sachs","year":"2020","unstructured":"Sachs K, Sarver AL, Noble-Orcutt KE, LaRue RS, Antony ML, Chang D, Lee Y, Navis CM, Hillesheim AL, Nykaza IR, et al. Single-cell gene expression analyses reveal distinct self-renewing and proliferating subsets in the Leukemia stem cell compartment in acute myeloid Leukemia. Cancer Res. 2020;80:458\u201370.","journal-title":"Cancer Res"},{"key":"5496_CR33","doi-asserted-by":"publisher","first-page":"1441","DOI":"10.1182\/blood.2019000909","volume":"134","author":"M S\u00e9bert","year":"2019","unstructured":"S\u00e9bert M, Passet M, Raimbault A, Rahm\u00e9 R, Raffoux E, Sicre de Fontbrune F, Cerrano M, Quentin S, Vasquez N, Da Costa M, et al. Germline DDX41 mutations define a significant entity within adult MDS\/AML patients. Blood. 2019;134:1441\u20134.","journal-title":"Blood"},{"key":"5496_CR34","doi-asserted-by":"publisher","first-page":"451","DOI":"10.1038\/s41587-019-0068-4","volume":"37","author":"M Setty","year":"2019","unstructured":"Setty M, Kiseliovas V, Levine J, Gayoso A, Mazutis L, Peer D. Characterization of cell fate probabilities in single-cell data with Palantir. Nat Biotechnol. 2019;37:451\u201360.","journal-title":"Nat Biotechnol"},{"key":"5496_CR35","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1038\/s41587-024-02138-x","volume":"42","author":"C Sheridan","year":"2024","unstructured":"Sheridan C. Can single-cell biology realize the promise of precision medicine? Nat Biotechnol. 2024;42:159\u201362.","journal-title":"Nat Biotechnol"},{"key":"5496_CR36","doi-asserted-by":"publisher","first-page":"2168","DOI":"10.1056\/NEJMra1406186","volume":"376","author":"JL Spivak","year":"2017","unstructured":"Spivak JL. Myeloproliferative neoplasms. N Engl J Med. 2017;376:2168\u201381.","journal-title":"N Engl J Med"},{"key":"5496_CR37","doi-asserted-by":"publisher","first-page":"2799","DOI":"10.1038\/s41375-021-01338-7","volume":"35","author":"LC Stetson","year":"2021","unstructured":"Stetson LC, Balasubramanian D, Ribeiro SP, Stefan T, Gupta K, Xu X, Fourati S, Roe A, Jackson Z, Schauner R, et al. Single cell RNA sequencing of AML initiating cells reveals RNA-based evolution during disease progression. Leukemia. 2021;35:2799\u2013812.","journal-title":"Leukemia"},{"key":"5496_CR38","doi-asserted-by":"publisher","first-page":"109421","DOI":"10.1016\/j.celrep.2021.109421","volume":"36","author":"H Su","year":"2021","unstructured":"Su H, Jiang M, Senevirathne C, Aluri S, Zhang T, Guo H, Xavier-Ferrucio J, Jin S, Tran NT, Liu SM, et al. Methylation of dual-specificity phosphatase 4 controls cell differentiation. Cell Rep. 2021;36:109421.","journal-title":"Cell Rep"},{"key":"5496_CR39","doi-asserted-by":"publisher","first-page":"2247","DOI":"10.1038\/s41596-020-0336-2","volume":"15","author":"B Van de Sande","year":"2020","unstructured":"Van de Sande B, Flerin C, Davie K, De Waegeneer M, Hulselmans G, Aibar S, Seurinck R, Saelens W, Cannoodt R, Rouchon Q, et al. A scalable SCENIC workflow for single-cell gene regulatory network analysis. Nat Protoc. 2020;15:2247\u201376.","journal-title":"Nat Protoc"},{"key":"5496_CR40","doi-asserted-by":"publisher","first-page":"1265","DOI":"10.1016\/j.cell.2019.01.031","volume":"176","author":"P van Galen","year":"2019","unstructured":"van Galen P, Hovestadt V, Wadsworth Ii MH, Hughes TK, Griffin GK, Battaglia S, Verga JA, Stephansky J, Pastika TJ, Lombardi Story J, et al. Single-cell RNA-seq reveals AML hierarchies relevant to disease progression and immunity. Cell. 2019;176:1265-1281.e1224.","journal-title":"Cell"},{"key":"5496_CR41","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-024-07066-z","author":"C Weng","year":"2024","unstructured":"Weng C, Yu F, Yang D, Poeschla M, Liggett LA, Jones MG, Qiu X, Wahlster L, Caulier A, Hussmann JA, et al. Deciphering cell states and genealogies of human haematopoiesis. Nature. 2024. https:\/\/doi.org\/10.1038\/s41586-024-07066-z.","journal-title":"Nature"},{"key":"5496_CR42","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1186\/s13045-020-00941-y","volume":"13","author":"J Wu","year":"2020","unstructured":"Wu J, Xiao Y, Sun J, Sun H, Chen H, Zhu Y, Fu H, Yu C, Weigao E, Lai S, et al. A single-cell survey of cellular hierarchy in acute myeloid leukemia. J Hematol Oncol. 2020;13:128.","journal-title":"J Hematol Oncol"},{"key":"5496_CR43","doi-asserted-by":"publisher","first-page":"2656","DOI":"10.1182\/bloodadvances.2019001352","volume":"4","author":"Z Wu","year":"2020","unstructured":"Wu Z, Gao S, Diamond C, Kajigaya S, Chen J, Shi R, Palmer C, Hsu AP, Calvo KR, Hickstein DD, et al. Sequencing of RNA in single cells reveals a distinct transcriptome signature of hematopoiesis in GATA2 deficiency. Blood Adv. 2020;4:2656\u201370.","journal-title":"Blood Adv"},{"key":"5496_CR44","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1186\/s13045-020-00920-3","volume":"13","author":"S Yuan","year":"2020","unstructured":"Yuan S, Liu Z, Xu Z, Liu J, Zhang J. High mobility group box 1 (HMGB1): a pivotal regulator of hematopoietic malignancies. J Hematol Oncol. 2020;13:91.","journal-title":"J Hematol Oncol"}],"container-title":["Journal of Translational Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12967-024-05496-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s12967-024-05496-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12967-024-05496-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,20]],"date-time":"2024-07-20T10:02:45Z","timestamp":1721469765000},"score":1,"resource":{"primary":{"URL":"https:\/\/translational-medicine.biomedcentral.com\/articles\/10.1186\/s12967-024-05496-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,20]]},"references-count":44,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2024,12]]}},"alternative-id":["5496"],"URL":"https:\/\/doi.org\/10.1186\/s12967-024-05496-x","relation":{},"ISSN":["1479-5876"],"issn-type":[{"value":"1479-5876","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,7,20]]},"assertion":[{"value":"28 March 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 July 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 July 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This study was approved by the ethical committee of Tianjin Medical University Tianjin General Hospital, and informed consent was obtained from each patient before participation.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"ZC is a scientific consultant to Beijing SeekGene BioSciences Co. Ltd. The\u00a0other authors declare no potential competing interests.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"673"}}