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- Alm, Sofie J., 1988, et al.
(författare)
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Minimal residual disease monitoring in childhood B lymphoblastic leukemia with t(12;21)(p13;q22); ETV6-RUNX1: concordant results using quantitation of fusion transcript and flow cytometry.
- 2017
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Ingår i: International journal of laboratory hematology. - : Wiley. - 1751-553X .- 1751-5521. ; 39:2, s. 121-128
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Tidskriftsartikel (refereegranskat)abstract
- The translocation t(12;21)(p13;q22) resulting in the fusion gene ETV6-RUNX1, is the most frequent gene fusion in childhood B lymphoblastic leukemia. In the Nordic Society of Paediatric Haematology and Oncology ALL-2008 treatment protocol, treatment stratification in B-lineage ALL is based on results of minimal residual disease (MRD) analysis with fluorescence-activated cell sorting (FACS). In this study, we determined whether RT-qPCR of the ETV6-RUNX1 fusion transcript can be a reliable alternative for MRD analysis.Seventy-eight bone marrow samples from 29 children at diagnosis and day 15, 29, and 78 during treatment were analyzed for MRD with FACS and with quantitative reverse transcription polymerase chain reaction (RT-qPCR). Fusion transcript MRD was defined as the ETV6-RUNX1/GUSB ratio at the follow-up time point (day 15/29/78) divided with the ETV6-RUNX1/GUSB ratio at diagnosis (%).MRD analysis with FACS and with RT-qPCR of ETV6-RUNX1 fusion transcript showed strong correlation. All cases showed concordant results at the treatment stratifying time points day 29 and day 78, when comparing the two methods with a cutoff set to 0.1%.RT-qPCR is a valuable addition and could also be an alternative to FACS in cases where FACS is not achievable for MRD analysis.
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| 4. |
- Frändberg, Sofia, 1972, et al.
(författare)
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Concentration of the CDCP1 protein in human cord plasma may serve as a predictor of hematopoietic stem and progenitor cell content
- 2018
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Ingår i: Stem Cell Research. - : Elsevier BV. - 1873-5061. ; 29, s. 24-27
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Tidskriftsartikel (refereegranskat)abstract
- Successful hematopoietic stem and progenitor cell (HSPC) transplantation rests upon reliable methods for their enumeration in sources such as cord blood (CB). Methods used today are costly, time consuming and exhaust the limited number of cells needed for transplantation. The aim of this study was to analyze if surplus plasma from CB contains biomarkers that can predict HSPC content in CB. Frozen, surplus plasma from 95 CB units was divided into two groups based on CD34+ cell concentration. Birth weight, gestation age, gender, mode of delivery, collection volume, nucleated cell count and colony forming unit assay results were available. Samples were analyzed with a proximity ligation assay covering 92 different proteins. Two-group t-test with p-values adjusted for false discovery rate (FDR) identified 5 proteins that significantly differed between the two groups. CDCP1 was the most significant (FDR adjusted p-value 0.006). Correlation with CDCP1 concentration was most significant for CD34+ concentration and nucleated cell count. Multivariate analysis showed that CD34 and gender seemed to influence the level of CDCP1. In conclusion, CDCP1 was identified as a potential biomarker of HSPC content in CB. The finding also warrants further investigation for a possible role of CDCP1 in regulating HSPC presence in CB. © 2018
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| 5. |
- Langabeer, Stephen E, et al.
(författare)
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Molecular diagnostics of myeloproliferative neoplasms (MPN).
- 2015
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Ingår i: European journal of haematology. - : Wiley. - 1600-0609 .- 0902-4441. ; 95:4
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Forskningsöversikt (refereegranskat)abstract
- Since the discovery of the JAK2 V617F mutation in the majority of the myeloproliferative neoplasms (MPN) of polycythemia vera, essential thrombocythemia and primary myelofibrosis ten years ago, further MPN-specific mutational events, notably in JAK2 exon 12, MPL exon 10 and CALR exon 9 have been identified. These discoveries have been rapidly incorporated into evolving molecular diagnostic algorithms. While many of these mutations appear to have prognostic implications, establishing MPN diagnosis is of immediate clinical importance with selection, implementation and the continual evaluation of the appropriate laboratory methodology to achieve this diagnosis similarly vital. The advantages and limitations of these approaches in identifying and quantitating the common MPN-associated mutations is considered herein with particular regard to their clinical utility. The evolution of molecular diagnostic applications and platforms has occurred in parallel with the discovery of MPN-associated mutations and it therefore appears likely that emerging technologies such as next-generation sequencing and digital PCR will in the future, play an increasing role in the molecular diagnosis of MPN. This article is protected by copyright. All rights reserved.
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| 7. |
- Malmberg, Erik, et al.
(författare)
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Minimal residual disease assessed with deep sequencing of NPM1 mutations predicts relapse after allogeneic stem cell transplant in AML
- 2019
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Ingår i: Leukemia and Lymphoma. - : Informa UK Limited. - 1042-8194 .- 1029-2403. ; 60:2, s. 409-417
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Tidskriftsartikel (refereegranskat)abstract
- Mutations in NPM1 can be used for minimal residual disease (MRD) analysis in acute myeloid leukemia (AML). We here applied a newly introduced method, deep sequencing, allowing for simultaneous analysis of all recurrent NPM1 insertions and thus constituting an attractive alternative to multiple PCRs for the clinical laboratory. We retrospectively used deep sequencing for measurement of MRD pre- and post-allogeneic hematopoietic stem cell transplantation (alloHCT). For 29 patients in morphological remission at the time of alloHCT, the effect of deep sequencing MRD on outcome was assessed. MRD positivity was defined as variant allele frequency ≥0.02%. Post-transplant MRD status was significantly and independently associated with clinical outcome; 3-year relapse-free survival 20% vs 85% (p <.001), HR 45 (95% CI 2–1260), and overall survival 20% vs 89% (p <.001), HR 49 (95% CI 2–1253). Thus, the new methodology deep sequencing is an applicable and predictive tool for MRD assessment in AML.
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| 8. |
- Sandstedt, Mikael, 1990, et al.
(författare)
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Intracellular flow cytometry may be combined with good quality and high sensitivity RT-qPCR analysis.
- 2015
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Ingår i: Cytometry. Part A : the journal of the International Society for Analytical Cytology. - : Wiley. - 1552-4930. ; 87:12
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Tidskriftsartikel (refereegranskat)abstract
- Flow cytometry (FCM) has become a well-established method for analysis of both intracellular and cell-surface proteins, while quantitative RT-PCR (RT-qPCR) is used to determine gene expression with high sensitivity and specificity. Combining these two methods would be of great value. The effects of intracellular staining on RNA integrity and RT-qPCR sensitivity and quality have not, however, been fully examined. We, therefore, intended to assess these effects further. Cells from the human lung cancer cell line A549 were fixed, permeabilized and sorted by FCM. Sorted cells were analyzed using RT-qPCR. RNA integrity was determined by RNA quality indicator analysis. A549 cells were then mixed with cells of the mouse cardiomyocyte cell line HL-1. A549 cells were identified by the cell surface marker ABCG2, while HL-1 cells were identified by intracellular cTnT. Cells were sorted and analyzed by RT-qPCR. Finally, cell cultures from human atrial biopsies were used to evaluate the effects of fixation and permeabilization on RT-qPCR analysis of nonimmortalized cells stored prior to analysis by FCM. A large amount of RNA could be extracted even when cells had been fixed and permeabilized. Permeabilization resulted in increased RNA degradation and a moderate decrease in RT-qPCR sensitivity. Gene expression levels were also affected to a moderate extent. Sorted populations from the mixed A549 and HL-1 cell samples showed gene expression patterns that corresponded to FCM data. When samples were stored before FCM sorting, the RT-qPCR analysis could still be performed with high sensitivity and quality. In summary, our results show that intracellular FCM may be performed with only minor impairment of the RT-qPCR sensitivity and quality when analyzing sorted cells; however, these effects should be considered when comparing RT-qPCR data of not fixed samples with those of fixed and permeabilized samples. © 2015 International Society for Advancement of Cytometry.
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| 9. |
- Vukusic, Kristina, 1979, et al.
(författare)
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Physical exercise affects slow cycling cells in the rat heart and reveals a new potential niche area in the atrioventricular junction
- 2015
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Ingår i: Journal of Molecular Histology. - : Springer Science and Business Media LLC. - 1567-2379 .- 1567-2387. ; 46:4, s. 387-398
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Tidskriftsartikel (refereegranskat)abstract
- Physical exercise has several beneficial effects on the heart. In other tissues it has been shown to activate endogenous stem cells. There is however a lack of knowledge how exercise affects the distribution of progenitor cells as well as overall cell turnover within the heart. Therefore, proliferating cells were identified using BrdU DNA labeling in a rat exercise model. Slow cycling cells were identified by label retention. BrdU+ nuclei were counted in apex, ventricle and atrioventricular junction (AV junction), as well as in skin tissue where label retaining cells (LRC) have been described previously. After 13 weeks of chasing, the cells with the highest intensity were identified and considered as LRC. Heart tissue showed slower proliferation compared to skin. The highest number of BrdU+ cells was found in the AV junction. Here, a sub region in close proximity to the valvular insertion point was observed, where density of BrdU+ cells was high at all time points. Physical exercise increased proliferation in AV junction at the early stage. Furthermore, the sub region was found to harbor a significant higher number of LRC compared to other regions of the heart in the exercised animals. Progenitor markers MDR1 and Sca-1 were detected in the same area by immunohistochemistry. In conclusions, our data shows that physical exercise affects cell turnover and distribution of LRC in the heart. Furthermore, it reveals a region within the AV junction of the heart that shows features of a stem cell niche.
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