- Open Access
Excessive proliferation and impaired function of primitive hematopoietic cells in bone marrow due to senescence post chemotherapy in a T cell acute lymphoblastic leukemia model
- Chuanhe Jiang†1,
- Xiaoxia Hu†1,
- Libing Wang1,
- Hui Cheng2, 3,
- Yan Lin1,
- Yakun Pang2, 3,
- Weiping Yuan2, 3,
- Tao Cheng2, 3 and
- Jianmin Wang1Email author
© Jiang et al. 2015
- Received: 24 March 2015
- Accepted: 18 May 2015
- Published: 17 July 2015
In clinic settings, rel apsed leukemic patients are found to be more fragile to chemotherapy due to delayed or incomplete hematopoietic recovery, and hematopoiesis of these patients seem to be impaired.
We established a leukemia therapy model with a non-irradiated T cell acute lymphoblastic leukemia mouse model combined with cytarabine and cyclophosphamide. Dynamic kinetics and functional status of both primitive hematopoietic cells and leukemic cells in a leukemia host under the chemotherapy stress were comprehensively investigated.
We successfully established the leukemia therapy model with T lymphoblastic phenotype. After treatment with cytarabine and cyclophosphamide, the frequency of L−K+S+ hematopoietic cells tides with the therapy, and stabled when the disease remission, then reduced when relapsed, while leukemic cells showed a delayed but consistent regeneration. Combination of chemotherapy significantly promote an early and transient entrance of L−K+S+ hematopoietic cells into active proliferation and induction of apoptosis on L−K+S+ cells in vivo. Moreover, in the competitive bone marrow transplantation assays, hematopoietic cells showed gradually diminished regenerative capacity. Testing of senescence-associated beta-galactosidase (SA-β gal) status showed higher levels in L−K+S+ hematopoietic cells post therapy when compared with the control. Gene expression analysis of hematopoietic primitive cells revealed up-regulated p16, p21, and down-regulated egr1 and fos.
We conclude that primitive hematopoietic cells in bone marrow enter proliferation earlier than leukemic cells after chemotherapy, and gradually lost their regenerative capacity partly by senescence due to accelerated cycling.
- Primitive hematopoietic cells
Leukemia is the most common hematopoietic malignancy, characterized by uncontrollable growth of leukemic cells and gradual exhaustion of normal hematopoiesis. It is well known that hematopoiesis is a hierarchical system, with primitive hematopoietic cells as ancestors, usually named as hematopoietic stem/progenitor cells (HSPCs). Previously we have revealed kinetics of these cells in an irradiated acute T cell lymphoblastic leukemia (T-ALL) mice model . We found that primitive hematopoietic cells preserved their regenerative capacity in a quiescent cell cycle state even when the numbers decreased. The fate of these cells was more likely depended on the changes of micro-environment rather than cells themselves. In fact, in early 2008, researchers found that leukemic cells could create a special environment that affected maintenance of primitive hematopoietic cells .
In the past few decades, chemotherapy has remained to be the primary treating strategy for most leukemic patients. The rate of complete remission (CR), achieved by modern intensive chemotherapy, is 80–90% in adult patients with acute lymphoblastic leukemia. However, the relapse rate is more than 60% . For these relapsed cases, treatment choices are limited, partially due to drug resistance and decreased tolerance to further chemotherapy . Moreover, hematopoiesis of these patients has also been impaired. Considering the findings of normal hematopoiesis in leukemic hosts mentioned above, we propose that the chemotherapy has impaired hematopoietic regenerative capacity in leukemic patients.
However, quantitative, especially functional changes of primitive hematopoietic and leukemic cells post chemotherapy have not been well clarified yet. In the present study, kinetics of both hematopoietic primitive cells and leukemia cells and functional status of L−K+S+ hematopoietic cells in bone marrow in a treated leukemic mouse model were investigated. In addition, SA-β gal status and gene expression such as p16 and EGR1 of bone marrow L−K+S+ hematopoietic cells were tested to obtain more insight in underlying the mechanism. Our data indicated that bone marrow primitive hematopoietic cells regenerated earlier than leukemic cells in a leukemia therapy model, and their repopulating capacity gradually diminished after treatment partly due to senescence caused by accelerated cycling.
Chemotherapeutic agents were Cyclophosphamide (CTX, Jiangsu Hengrui Medicine, CO., LTD) and Cytarabine (Ara-C, Pfizer Italia s.r.l); both were dissolved in PBS at 50 mg/mL and stored at −20°C.
Determination of maximum tolerated dose (MTD)
MTD of therapeutic agent was defined as the maximum dose causing no death and no more than 10% weight loss. This was determined by treating wide-type, 8-week-old female C57/BL6 J mice (n = 5). Drugs were dissolved in 400 μL PBS and injected intraperitoneal into these mice. Tested doses administered daily for four consecutive days were 200, 100, 50, and 25 mg/kg for CTX, and 200, 150, 100, and 50 mg/kg for Ara-C. Finally, MTD gained was 100 mg/kg for CTX and 150 mg/kg for Ara-C. These doses were then used for primary chemotherapy testing in leukemic mice.
Mice and cells
C57/BL6 J mice (CD45.2+, 8-week-old) were used as leukemic hosts. The T-ALL cells were derived from bone marrow CD45.1+Lin− hematopoietic cells of B6.SJL mice, induced by Notch-1 ICN-GFP over-expression, and kindly offered by the State Key Laboratory of Experimental Hematology Tianjin, China. With no pretreatment, each C57/BL6 J mouse was injected with 105 congenic T-ALL cells through tail-vein to induce T-ALL development in 10 days. Wild type C57/BL6 J mice injected with equal volume of PBS were used as normal control. Among the normal control mice, those that received 1-day chemotherapy at MTD doses were defined as the drug-only group. T-ALL mice that received chemotherapy at MTD doses were defined as treated leukemic mice, and sub-grouped as follows: the 1-day treated group, 2-day treated group, 3-day treated group, and 4-day treated group. T-ALL mice received 1-day therapy of half MTD doses were defined as the lower-dose group. T-ALL mice without other interventions were defined as leukemia group.
B6.SJL mice (CD45.1+, 8-week-old) were used as recipients and source of competitive cells in the competitive bone marrow transplantation (c-BMT) assays.
All mice were bred and maintained under defined flora according to guidelines established and approved by the Institutional Animal Committees at the State Key Laboratory of Experimental Hematology Tianjin, China.
Flow cytometry analysis
Murine bone marrow cells were obtained by flushing iliums, femurs and tibias with PBS or PBE. Immuno-phenotypes were used as follows: for murine hematopoietic stem cell (HSC) was Lin−c-Kit+Sca-1+ (LK+S+), including long-term hematopoietic repopulating HSC (LT-HSC; CD34−Flk2−LK+S+), short-term repopulating HSC (ST-HSC; CD34+Flk2−LK+S+), and multi-potent progenitor (MPP; CD34+Flk2+LK+S+); for murine hematopoietic progenitor cell (HPC) was Lin−c-Kit+Sca-1− (LK+S−), sub-divided as granulocyte/macrophage progenitor (GMP; CD34+CD16/32+LK+S−), common myeloid progenitor (CMP; CD34+CD16/32−LKS−), and megakaryocyte/erythroid progenitor (MEP: CD34−CD16/32−LK+S−). Normal hematopoietic and leukemic cells were discriminated by CD45.2, GFP, or CD45.1 expressions. For detection of HSC/HPC and their sub-populations, we used FITC conjugated CD34 (RAM34, e-Bioscience), APC-cy7 conjugated with a mixture of lineage antibodies (anti-CD3 145-2C11, CD4 GK1.5, CD8 53-6.7, Mac-1 M1/70, B220 RA3-6B2, Gr-1 RB6-8C5, Ter-119 TER-119; all were purchased from e-Bioscience), Streptavidin APC-cy7 (BD), PE-cy7 conjugated Sca-1 (D7, e-Bioscience), APC conjugated c-Kit (2B8, e-Bioscience), PE conjugated CD16/32 (93, e-Bioscience) and Flk2 (A2F10.1, BD), Percp-cy5.5 conjugated CD45.2 (104, BD) and PE conjugated CD45.2 (104, e-Bioscience). All analysis was performed on an LSR Aria II flow cytometer (BD Bioscience) and further studied by FlowJo 7.6 software (FlowJo LLC, Ashland, OR, USA).
Analysis of apoptosis by flow cytometry
For apoptosis assays, the staining was performed in the staining buffer with FITC conjugated Annexin-V and 7-AAD (5 µL in 100 µL cells for both dyes; BD Pharmigen™ FITC Annexin V Apoptosis Detection Kit) at 37°C for 15 min according to the user’s manual and analyzed using flow cytometry within an hour after staining was completed.
Cell cycle analysis
For cell-cycle analysis, 100 µL pre-stained cells were fixed, and then after permeabilization, they were further stained with 5 µL PE conjugated Ki-67 (BD) at 37°C for 30 min, then 5 µg Hoechst 33,342 (10 µg/mL, Life Technologies) was added into 500 µL cell suspension before flow cytometry analysis. Cells were discriminated in G0 (Hochestlow Ki-67low), G1 (Hochestlow Ki-67high), and G2-S-M (incorporation of both Hochest and Ki-67).
In vitro colony-forming cell (CFC) assay
CD45.2+GFP− BM cells of the leukemic and the 1-day treated groups were sorted on the 1st, 2nd, 5th, and 12th days post chemotherapy for in vitro colony-forming cell assay, respectively. Cells were seeded in methylcellulose medium M3434 (Stem Cell Technologies) and plated in 24-well plates with a 0.5 mL volume at a density of 2 × 104/mL; five replicates per well. Cells were cultured at 37°C, with 5% CO2 and ≥95% humidity. After 10 days of culture, colonies were counted under an inverted microscope and recorded in specific lineages.
Competitive bone marrow transplantation assay
CD45.2+ BM cells were sorted from the 1-day treated leukemic mice on the 1st, 2nd, 5th, and 12th days post therapy for c-BMT assay, respectively. A total number of 5 × 105 sorted viable CD45.2+ cells together with an equal number of viable CD45.1+ competitive cells (from wide-type untreated 8-week-old B6.SJL female mice) were co-transplanted into lethally irradiated (9.5 Gy) female B6/SJL mice (n = 9/group, 8-week-old) through tail-vein injection 6 h after irradiation. After transplantation, tail-vein blood was tested for donor contribution and lineage differentiation 1 month later and monthly for four consecutive months since. Relative contributions of tested (CD45.2+) and competitive cells (CD45.1+) were analyzed using FITC conjugated CD45.2 (104, Bio-legend) and Percp-cy5.5 conjugated CD45.1 (A20, BD). Differentiation status was analyzed using following lineage markers: APC conjugated Mac-1 (M1/70, e-Bioscience) for myeloid lineage, PE conjugated CD3 (145-2C11, e-Bioscience) for T lineage and PE-cy7 conjugated B220 (RA3-6B2, e-Bioscience) for B lineage. Analysis was done by flow cytometry.
Senescence analysis using flow cytometry
Senescent status of cells was examined according to the manufacture’s instruction of the ImaGene Green™ C12-FDG lacZ Gene Expression Kit (Molecular Probes, Inc.), and further guided by a Nature Protocol suggested method .
Cell sorting procedures
For HSC (LK+S+ cells) isolation, BM cells were firstly enriched for c-Kit expression by immuno-selection with CD117 conjugated micro-magnetic beads (Miltenyi Biotec) according to the manufacturer’s instructions. Enriched cells were then stained with PE-cy7 conjugated with a mixture of lineage antibodies (anti-CD3 145-2C11, Mac-1 M1/70, Gr-1 RB6-8C5, CD4 GK1.5, B220 RA3-6B2, CD8 53-6.7, Ter-119 TER119; all were purchased from e-Bioscience), PE conjugated Sca-1 (D7, e-Bioscience), APC conjugated c-Kit (2B8, e-Bioscience) and Percp-cy5.5 conjugated CD45.2 (104, e-Bioscience). Normal hematopoietic and leukemic cells were sorted by CD45.2 and GFP expression, respectively; and 4′,6-diamidino-2-phenylindole (DAPI) was used to exclude dead cells during the sorting procedure.
Quantitative reverse transcriptase PCR (qRT-PCR)
A total number of 2 × 104 BM CD45.2+LK+S+ cells or GFP+ cells were sorted directly into the lysis buffer (Stratagene). Total RNA was extracted with the RNA nano-prep kit according to the manufacturer’s instructions (Stratagene). Reverse transcription was achieved using oligo-dT and M-MLV reverse transcriptase (Ambion). Real-time polymerase chain reaction (PCR) was performed with SYBR green Master Mix (Finnzymes), using a Real-time Quantitative PCR 7500 (ABI) machine. Parameters were as follows: Holding stage: 95°C, 10 min, 1 cycle; Cycling stage: 95°C, 15 s, 60°C, 50 s, for 60 cycles; Melt curve stage: 95°C, 15 s, 1 cycle, 60°C, 1 min, 1 cycle, 95°C, 15 s, for 1 cycle. The sequences of all primers used in the qRT-PCR assay are listed in the Additional file 1: Table S1.
Data are presented as mean ± SEM if not indicated otherwise. Survival status was analyzed using Kaplan–Meier analysis. Differences between two groups were analyzed using a two-tail unpaired Student t test. For comparison of multiple groups, one-way ANOVA was used and followed by Dunnett analysis between each of the two groups. Differences with a P value ≤0.05 were considered statistically significant.
Development of a system for evaluation of chemotherapy on leukemia mice
With different treat modalities, we set up course-dependent treating models leading to different kinetics of leukemic cells and normal hematopoietic cells (Additional file 2: Figure S1). In this study, we use one-dose treatment model which facilitates the study.
Treatment was administrated when leukemic burden reached 1–5% of mononuclear cells in peripheral blood (Figure 1a). The chemotherapy combination included two drugs, CTX (100 mg/kg) and Ara-C (150 mg/kg) with one dose. The treated leukemic mice lived much longer than those without treatment (median survival days: 39.5 vs. 29 days, P = 0.002; Figure 1h). Leukemic cells in peripheral blood and bone marrow decreased rightly post treatment, and reached plateau during day 2–5, then recovered at day 7 (Figure 1i–j). The leukemia cells infiltrated the bone marrow and spleen. (Additional file 3: Figure S2). Of note, we observed a period (the day 2 to the day 5 post therapy) when leukemic cells could hardly be detected with a nearly uncompromised platelet count (Figure 1i–k). We defined this status as complete remission (CR). On day 7, leukemia cells (GFP+) relapsed. Thus, we successfully established a CR-to-relapse T cell leukemia model in non-irradiated mice with combined chemotherapy.
Primitive hematopoietic cells showed an earlier regeneration than leukemic cells
We then analyzed sub-populations of CD45.2+L−K+S− and CD45.2+L−K+S− hematopoietic cells in bone marrow. We found that since the recovery phase, CD45.2+L−K+S− hematopoietic cells showed a granulocyte monocyte progenitor (GMP)-biased manner when compared with control (on the 2nd day 61.80 ± 3.25%; on the 3rd day 67.18 ± 1.93%; on the 5th day 76.50 ± 3.46%; on the 7th day 76.75 ± 1.63%; on the 12th day 64.00 ± 2.84%; all P values <0.05 when compared with control; Figure 2e). We had similar results for colony-forming cell assays (Additional file 5: Figure S4B–E). For CD45.2+L−K+S− hematopoietic cells, on the 3rd day CD45.2+LK+S+ hematopoietic cells showed a decreased frequency of phenotypically defined LT-HSC compared to control (4.73 ± 0.61% vs. normal 12.44 ± 0.69%, P < 0.0001; Figure 2f). This might be a compensating loss of mature cells caused by leukemia and chemotherapy; since the 5th day post therapy, frequencies restored back to a nearly normal level.
We then compared the one-dose treated leukemic mice with the untreated leukemia group in the late leukemia relapsing stage (on the 12th day). Although there was no significant difference in absolute numbers (296.2 ± 87.88 vs. 174.0 ± 53.93, P = 0.252; Figure 2j), CD45.2+L−K+S− hematopoietic cells showed a significant lower percentage in treated group (0.01 ± 0.001% vs. 0.024 ± 0.003%, P = 0.008; Figure 2n), suggesting that chemotherapy leading to a decreased frequency of LT-HSC.
We also tested related parameters in the lower-dose, the four-dose treated and the treatment only groups. In the lower-dose treated group, we observed a similar trend of primitive hematopoietic cells and leukemic cells, although to a less extent (Additional file 6: Figure S5). In the four-dose treatment group, we found that leukemic burden in peripheral blood was continuously undetectable within 90 days post therapy, and primitive hematopoietic cells in bone marrow could recover back to normal status post therapy (Additional files 2, 7: Figures S1, S6). Moreover, CD45.2+LK+S− cells showed a same shift towards GMP differentiation comparable to the one-dose treated leukemic group during the early recovery phase (Additional file 7: Figure S6). We also tested these in the treatment only group. Data showed that the frequencies of both L−K+S+ and L−K+S− cells recovered to the normal in the end (Additional file 8: Figure S7A–C).
In the present model, primitive hematopoietic cells and leukemic cells showed different kinetics together with a GMP-bias of the hematopoietic progenitors and an additional consumption of phenotypically defined LT-HSC possibly due to chemotherapy.
Transient and intensive proliferation of bone marrow L−K+S+ hematopoietic cells
Data presented above indicate that cell proliferation and apoptosis were both presented in a dynamic manner post therapy. Cell cycling was the main factor responsible for different changes of primitive hematopoietic cells and leukemic cells post therapy; while apoptosis mainly affected the early phase post therapy, and was apparently ignorable since recovery of both CD45.2+LK+S+ and CD45.2+LK+S− hematopoietic cells.
Gradually diminished regenerative capacity of primitive hematopoietic cells
Senescence is confirmed in L−K+S+ hematopoietic cells
Cellular senescence is usually a result of extensive replication, and mainly occurs prematurely after cells are exposed to oncogenic, oxidative, or genotoxic stress [7–9]. Reports have discussed the role of senescence in mediating impairment of HSC function. In the hematopoietic system, studies mainly focused on irradiation [10, 11]. Since HSCs went through accelerated cycling together with decreased regenerative function and atypical differentiation pattern, a high level of cell senescence is therefore expected in these HSCs. Senescent cells express increased levels of biomarkers, such as SA-β gal and P16 [12, 13]. Here we employed a enzymatic method suggested by Nature Protocols to detect SA-β gal activity. The method involves the alkalinization of lysosomes, followed by the use of 5-dodecanoylaminofluorescein di-β-d-galactopyranoside (C12FDG), a fluorogenic substrate of SA-β gal which becomes fluorescent after cleaved by the enzyme and can be detected by flow-cytometry . Senescent status of CD45.2+L−K+S+ hematopoietic cells in our 1-day treated leukemic model on the 3rd and 5th day post therapy were measured, and compared to the normal control. CD45.2+L−K+S+ hematopoietic cells of the 1-day treated leukemic mice on the 3rd and 5th days post therapy showed higher mean fluorescence intensity (MFI) of C12-FDG (normal vs. day 3: 124.6 ± 20.27 vs. 539.7 ± 126, p = 0.0069; normal vs. day 5: 124.6 ± 20.27 vs. 296.6 ± 51.94, p = 0.0259; Figure 5e), indicated higher levels of senescence.
We then analyzed gene expressions of p16, p21, and p53, three key genes involved in cellular senescence [14–16]. Data showed higher expression of P16 and P21 in CD45.2+LK+S+ hematopoietic cells on the 3rd and 5th days post therapy, further confirming the result of senescence (Figure 5f–g).
Moreover, we also observed down-regulated expressions of Egr1 and FOS on these 2 days (Figure 5f, g). Egr1 is a gene affecting hematopoiesis. Although loss of Egr1 does not impair regenerative ability in primary recipient mice, Egr1−/− HSCs exhibit premature loss of function during serial transplantation, suggesting its protective function of HSC in the case of replicative stress [17, 18]. FOS is also found to be involved in stem cell maintenance, stem cell niche interactions and oxidative stress response [19, 20]. These results suggest that excessive proliferation induced the functional impairment.
Leukemia patients usually die of refractory disease, relapse and treatment related mortality, so studies focusing on these contexts will be beneficial. Our group in 2009 reported kinetics of primitive hematopoietic cells in an irradiated T-ALL mouse model . In that model, the number of primitive hematopoietic cells decreased but the cell function was reserved, which may provide an explanation on how autologous stem cell transplantation works. In the present study, we showed primitive hematopoietic cells went through a highly proliferating phase after therapy and exhausted in the end, and leukemic cells kept on growing at a much later starting time point (on the 5th day after therapy). Our data showed that primitive hematopoietic cells and leukemic cells showed different proliferation pattern in the leukemia model under chemotherapy stress. To our knowledge, this is the first time to experimentally demonstrate the earlier regeneration of primitive hematopoietic cells than leukemic cell after chemotherapy. Further analysis of cell cycle and survival status showed cell cycle was involved, which might provide potential therapeutic targets for leukemia through cell cycle regulation.
In the irradiated T-ALL mouse model , quantity of primitive hematopoietic cells was decreased; however when transplanted into normal hosts, they could successfully reconstitute hematopoiesis comparable to the normal control, indicating that these primitive hematopoietic cells preserved their functionalities in the leukemic context. This suggests that alterations took place in micro-environment rather than in primitive hematopoietic cells themselves. In the present study, we found primitive hematopoietic primitive cells altered both in quantity and in quality. They showed compromised repopulating capability in the competitive bone marrow transplantation assay. In clinical practice, doctors might meet some difficulties in collecting enough primitive hematopoietic cells for autologous stem cell transplantation from patients of multiple myeloma, lymphoma, and leukemia, especially for those who had received high doses or cycles of chemotherapy or therapy including some special agents [21, 22]. As recently reported, primitive hematopoietic cells showed functional injury due to excessive-proliferation and direct toxicity in aged hosts and hosts suffering from chronic infection or acute serious infection [23–27]. Similar mechanism may be applied in our 1-day treated leukemic model. Moreover, another study found loss of quiescence and impaired function of CD34+CD38low cells 1 year following autologous stem cell transplantation. They showed the diminished regenerative capacity was possibly due to a loss of quiescence and a reduced tolerance to oxidative stress . Our data may offer insights on the functional impairment of patients who received autologous stem cell transplantation, as all of them would had chemotherapy prior to the transplantation. Further studies are probably needed to re-evaluate the potential toxicity of traditional chemotherapy to primitive hematopoietic cells in future practice.
In the present study, we had some rather interesting findings worth further investigation. The first one was the myeloid-bias (GMP-bias) of L−KS− hematopoietic cells observed in the recovery phase, similar to those observed in aged hosts and many other pathological or physiological conditions [23, 24, 27]. Under most of these conditions, primitive hematopoietic cells displayed decreased regenerative ability. Thus, myeloid-bias may be a common phenomenon accompanied with impaired hematopoiesis, and myeloid lineage may have priority in hematopoietic differentiation under stress. Secondly, we found a large part of leukemic cells in G2-S-M phase 1 day post therapy. One report showed that DNA damage of quiescent HSC accumulating during aging was repaired by entering cycling, and was important for their self-maintenance . Leukemic cells may use the same mechanism to recovery from chemotherapeutic attack.
In summary, our study demonstrates different kinetics of leukemic cells and primitive hematopoietic cells via different cell cycling following chemotherapy. These findings may help us to develop more effective therapeutic methods for leukemia through targeting cell cycling. Our data also provide important new insights into the mechanism by which chemotherapy causes impaired hematopoiesis via induction of premature senescence in leukemic patients. A better understanding of these mechanisms will allow us to develop new interventions to circumvent chemotherapy-induced toxicity to BM via targeted inhibition of chemotherapy-induced HSC senescence, and this might further improve the chemotherapeutic tolerance, especially for those relapsing or refractory patients. This will undoubtedly benefit leukemic patients undergoing chemotherapy, especially those intending for autologous stem cell transplantation.
In leukemic host, primitive hematopoietic cells in bone marrow enter proliferation earlier than leukemic cells after chemotherapy, at the cost of regenerative capacity possibly impaired by senescence due to accelerated cycling. These findings provide insights on the mechanisms of leukemic relapse, as well the potential toxicity of chemotherapy to primitive hematopoietic cells.
CJ performed the experiments, analyzed and interpreted data, and wrote the manuscript; XH analyzed and interpreted data, and wrote the manuscript; LW performed the experiments, analyzed data; HC, YL, and YP analyzed data, performed analysis; WY analyzed data; TC and JW designed research, interpreted data, and critically reviewed the manuscript. All authors read and approved the final manuscript.
This work was supported by the National Natural Science Foundation of China (NSFC; 81090413, 81270638, 81270567, 81421002, 81470321), the Ministry of Science and Technology of China (2011CB964800, 2012CB966600, 2010CB945204), and the Shanghai Science and Technology Committee (08JC1406500; JW). TC was a recipient of the Scholar Award from the Leukemia and Lymphoma Society (1027-08) and an Outstanding Young Scholar Award from NSFC (30825017). XH was sponsored by a scholarship from the Shanghai Health Bureau (XYQ2011007).
Compliance with ethical guidelines
Competing interests The authors declare that they have no competing interests.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
- Hu X, Shen H, Tian C, Yu H, Zheng G, XuFeng R et al (2009) Kinetics of normal hematopoietic stem and progenitor cells in a Notch1-induced leukemia model. Blood 114:3783–3792PubMed CentralPubMedView ArticleGoogle Scholar
- Colmone A, Amorim M, Pontier AL, Wang S, Jablonski E, Sipkins DA (2008) Leukemic cells create bone marrow niches that disrupt the behavior of normal hematopoietic progenitor cells. Science 322:1861–1864PubMedView ArticleGoogle Scholar
- Song W, Wang N, Li W, Wang G, Hu J, He K et al (2013) Serum peptidomic profiling identifies a minimal residual disease detection and prognostic biomarker for patients with acute leukemia. Oncol Lett 6:1453–1460PubMed CentralPubMedGoogle Scholar
- Carter BZ, Qiu Y, Huang X, Diao L, Zhang N, Coombes KR et al (2012) Survivin is highly expressed in CD34+38− leukemic stem/progenitor cells and predicts poor clinical outcomes in AML. Blood 120(1):173–180PubMed CentralPubMedView ArticleGoogle Scholar
- Debacq-Chainiaux F, Erusalimsky JD, Campisi J, Toussaint O (2009) Protocols to detect senescence-associated beta-galactosidase (SA-β gal) activity, a biomarker of senescent cells in culture and in vivo. Nat Protoc 4:1798–1806PubMedView ArticleGoogle Scholar
- Kiel MJ, Yilmaz OH, Iwashita T, Yilmaz OH, Terhorst C, Morrison SJ (2005) SLAM family receptors distinguish hematopoietic stem and progenitor cells and reveal endothelial niches for stem cells. Cell 121(7):1109–1121PubMedView ArticleGoogle Scholar
- Serrano M, Blasco MA (2001) Putting the stress on senescence. Curr Opin Cell Biol 13(6):748–753PubMedView ArticleGoogle Scholar
- Marcotte R, Wang E (2002) Replicative senescence revisited. J Gerontol A Biol Sci Med Sci 57(7):B257–B269PubMedView ArticleGoogle Scholar
- Hayflick L (1965) The limited in vitro lifetime of human diploid cell strains. Exp Cell Res 37:614–636PubMedView ArticleGoogle Scholar
- Shao L, Feng W, Li H, Gardner D, Luo Y, Wang Y et al (2014) Total body irradiation causes long-term mouse BM injury via induction of HSC premature senescence in an Ink4a- and Arf-independent manner. Blood 123(20):3105–3115PubMed CentralPubMedView ArticleGoogle Scholar
- Wang Y, Schulte BA, LaRue AC, Ogawa M, Zhou D (2006) Total body irradiation selectively induces murine hematopoietic stem cell senescence. Blood 107:358–366PubMed CentralPubMedView ArticleGoogle Scholar
- Li H, Wang Y, Pazhanisamy SK, Shao L, Batinic-Haberle I, Meng A et al (2011) Mn(III) meso-tetrakis-(N-ethylpyridinium-2-yl) porphyrin mitigates total body irradiation-induced long-term bone marrow suppression. Free Radic Biol Med 51(1):30–37PubMed CentralPubMedView ArticleGoogle Scholar
- Liu Y, Sanoff HK, Cho H, Burd CE, Torrice C, Ibrahim JG et al (2009) Expression of p16(INK4a) in peripheral blood T-cells is a biomarker of human aging. Aging Cell 8(4):439–448PubMed CentralPubMedView ArticleGoogle Scholar
- Krishnamurthy J, Torrice C, Ramsey MR, Kovalev GI, AI-Regaiey K, Su L et al (2004) Ink4a/Arf expression is a biomarker of aging. J Clin Invest. 114(9):1299–1307PubMed CentralPubMedView ArticleGoogle Scholar
- Pantoja C, Serrano M (1999) Murine fibroblasts lacking p21 undergo senescence and are resistant to transformation by oncogenic Ras. Oncogene 18(35):4974–4982PubMedView ArticleGoogle Scholar
- Liu Y, Johnson SM, Fedoriw Y, Rogers AB, Yuan H, Krishnamurthy J et al (2011) Expression of p16(INK4a) prevents cancer and promotes aging in lymphocytes. Blood 117(12):3257–3267PubMed CentralPubMedView ArticleGoogle Scholar
- Wilson A, Laurenti E, Trumpp A (2009) Balancing dormant and self-renewing hematopoietic stem cells. Curr Opin Genet Dev 19(5):461–468PubMedView ArticleGoogle Scholar
- Min IM, Pietramaggiori G, Kim FS, Passegué E, Stevenson KE, Wagers AJ (2008) The transcription factor EGR1 controls both the proliferation and localization of hematopoietic stem cells. Cell Stem Cell 2(4):380–391PubMedView ArticleGoogle Scholar
- Miyamoto T (2013) Role of osteoclasts in regulating hematopoietic stem and progenitor cells. World J Orthop. 4(4):198–206PubMed CentralPubMedView ArticleGoogle Scholar
- Woolthuis CM, Brouwers-Vos AZ, Huls G (2013) Loss of quiescence and impaired function of CD34 +/CD38low cells one year following autologous stem cell transplantation. Haematologica 98(12):1964–1971PubMed CentralPubMedView ArticleGoogle Scholar
- Costa LJ, Kumar S, Stowell SA, Dermer SJ (2015) Mobilization and transplantation patterns of autologous hematopoietic stem cells in multiple myeloma and non-Hodgkin lymphoma. Cancer Control 22(1):87–94PubMedGoogle Scholar
- Wuchter P, Ran D, Bruckner T, Schmitt T, Witzens-Harig M, Neben K et al (2010) Poor mobilization of hematopoietic stem cells-definitions, incidence, risk factors, and impact on outcome of autologous transplantation. Biol Blood Marrow Transplant 16(4):490–499PubMedView ArticleGoogle Scholar
- Florian MC, Dörr K, Niebel A, Daria D, Schrezenmeier H, Rojewski M et al (2012) Cdc42 activity regulates hematopoietic stem cell aging and rejuvenation. Cell Stem Cell 10:520–530PubMed CentralPubMedView ArticleGoogle Scholar
- Esplin BL, Shimazu T, Welner RS, Garrett KP, Nie L, Zhang Q et al (2011) Chronic exposure to a TLR ligand injures hematopoietic stem cells. J Immunol 186:5367–5375PubMed CentralPubMedView ArticleGoogle Scholar
- Yánez A, Murciano C, O’Connor JE, Gozalbo D, Gil ML (2009) Candida albicans triggers proliferation and differentiation of hematopoietic stem and progenitor cells by a MyD88-dependent signaling. Microbes Infect. 11:531–535PubMedView ArticleGoogle Scholar
- Rodriguez S, Chora A, Goumnerov B, Mumaw C, Goebel WS, Fernandez L et al (2009) Dysfunctional expansion of hematopoietic stem cells and block of myeloid differentiation in lethal sepsis. Blood 114:4064–4076PubMed CentralPubMedView ArticleGoogle Scholar
- MacNamara KC, Jones M, Martin O, Winslow GM (2011) Transient activation of hematopoietic stem and progenitor cells by IFNγ during acute bacterial infection. PLoS One 6:1–9View ArticleGoogle Scholar
- Beerman I, Seita J, Inlay MA, Weissman IL, Rossi DJ (2014) Quiescent hematopoietic stem cells accumulate DNA damage during aging that is repaired upon entry into cell cycle. Cell Stem Cell. 15(1):37–50PubMed CentralPubMedView ArticleGoogle Scholar