Printer Friendly

Posttransplantation bone marrow assessment by quantifying hematopoietic cell-derived mRNAs in plasma exosomes/microvesicles.

Bone marrow aspiration (BMA) [3] is used routinely for the diagnosis of various hematologic diseases, such as leukemia, anemia, thrombocytopenia, and myelodysplastic syndrome. BMA is also used for the assessment of treatment efficacy during chemotherapy, radiation, and hematopoietic stem cell transplantation (HSCT), for which patients undergo multiple cycles of BMA during a treatment protocol. Although BMA often is a painful medical procedure, and most patients suffer some discomfort, BMA is unavoidable because hematopoietic precursor cells (HPC) exist only in BM and few escape to peripheral blood (PB). Currently, there is no option to analyze BM status without BMA.

Recent studies have demonstrated that a variety of cells release exosomes and microvesicles (EMV) into nearby biological fluids, such as blood, saliva, and breast milk (1). During the exocytotic process, various proteins (2), mRNA (3, 4), and micro RNA (miRNA) (5) are included in the EMV. We hypothesized that HPC might release EMV in BM, and such EMV might be small and flexible enough to penetrate into PB. If this were to occur, BM-derived EMV might be identified in PB by measuring HPC-derived mRNAs. To validate this possibility, we chose allogeneic HSCT as a model system, because BM content varies widely from the short period of time between myeloablation and full recovery.

The traditional method of EMV isolation is ultracentrifugation with 100 000g for 2 h (6). This is a time-consuming procedure, and the assay throughput is quite limited. After centrifugation, the removal of the supernatant without disturbing the EMV pellet is difficult and impedes accurate and reproducible quantification. Subsequent RNA preparation, cDNA synthesis, and PCR introduce additional impediments. In each additional step, technical variation is introduced, and such variation is augmented after exponential amplification by PCR.

Previously we introduced a unique system of leukocyte mRNA analysis from whole blood, in which leukocytes were trapped on a 96-well filter plate and leukocyte lysate was transferred to a 96-well oligo(dT)-immobilized microplate for direct poly[(A).sup.+] mRNA purification followed by cDNA synthesis and PCR (7-9). In this study, the leukocyte-capture filter plate was replaced with the newly developed EMV-capture filter plate, and HPC-derived mRNAs were quantified in plasma. Here, we report that HPC-derived mRNAs in plasma EMV may represent new biomarkers for the assessment of BM condition after HSCT.

Materials and Methods


To calculate the capture efficiency of the EMV-capture filter plate (Hitachi Chemical Research Center), triplicate aliquots of 0.23-1.13 [micro]g fluorescent liposomes [87.4 (0.6)-nm diameter; FormuMax Scientific] were suspended in 100 [micro]L PBS, pH 7.4, and applied to the filter plate and centrifuged at 2000g for 5 min. Fluorescent intensities of the liposomes were measured before and after filtration, and capture efficiencies were calculated.


To visualize the captured EMV or EMV-like materials, pooled human plasma obtained from a commercial source (Nova Biologics) was applied to the filter plate and centrifuged at 2000g for 5 min. Without any washing, the filter membrane was removed, dried, sputter coated, and analyzed by scanning electron microscopy (SEM) (S-4800, Hitachi High-Technologies).


Human plasma samples (0.3 mL) were applied to the filter plate and centrifuged at 2000g for 5 min. In each well, 60 [micro]L of lysis buffer containing a cocktail of anti-sense primers was added and incubated at 55[degrees]C for 10 min. The filter plate was then placed on a oligo(dT)-immobilized microplate (Hitachi Chemical Research Center) and centrifuged at 2000g for 5 min. The cDNA was directly synthesized in the same microplate by adding dNTPs (final concentration, 5 mmol/L), Moloney murine leukemia virus reverse transcriptase (final concentration, 2.7 U/[micro]L), and RNasin (0.13 U/[micro]L) (Invitrogen) and incubated at 37[degrees]C for 2 h. The cDNA solution was used for subsequent real-time SYBR green PCR (iTaq, Bio-Rad) in the final volume of 5 [micro]L in a 384-well plate. Each gene was amplified individually. The PCR conditions were 1 cycle of 95[degrees]C for 10 min, followed by 50 cycles of 1 min 95[degrees]C denaturing and 1 min 65[degrees]C annealing/extension in PRISM7900 (Applied Biosystems). Melting curve analysis was performed every time to confirm that the amplification was derived from a single peak. The cycle threshold (Ct) was determined by the analytical software (SDS, Applied Biosystems). A Ct of 32 was used as a baseline. By use of the known concentrations of PCR templates, Ct values were converted to the copy number per milliliter of plasma. Primer sequences used in this study are summarized in Table 1 in the Data Supplement that accompanies the online version of this report at


Human plasma samples (0.3 mL) were added into small containers (Beckman), and centrifuged at 100 000g for 2h at 4[degrees]C (OptimaXL-90 ultracentrifuge; Beckman) using the type 90Ti rotor (Beckman). After centrifugation, supernatants were decanted, and the pellets were suspended in 1x lysis buffer. Lysates were incubated at 55[degrees]C for 10 min, then applied to the oligo(dT)-immobilized microplate for mRNA analysis.


Plasma samples obtained from 18 patients who underwent allogeneic HSCT were analyzed retrospectively. Approval from the institutional review board was obtained for this study. Plasma samples were collected before conditioning and on days 7, 14, and 28 and stored frozen at -80[degrees]C. All patients received routine screening blood tests, including complete blood count (CBC) with reticulocyte count at least 3 times per week after transplantation. BMA was performed on days 14 and 28. Clinical outcome was determined at day 180.

The PB criteria for BM engraftment were as follows. Myeloid recovery was defined as an absolute neutrophil count of more than 500/[micro]L, and erythroid and megakaryocyte lineage reconstitution were defined as reticulocyte counts of more than 3 x [10.sup.4]/[micro]L and platelet counts of more than 20 000/[micro]L without the transfusion of platelet concentrates, respectively.


As shown in Fig. 1, fluorescent liposomes were absorbed by the filter plate, and the mean (SD) capture efficiency was 96.0% (1.2%). The filter plate was not saturated at the range of 0.23-1.13 [micro]g of liposome (Fig. 1).

As shown in Fig. 2A, SEM demonstrated a thick membrane-like layer on the surface of post-plasma-applied membrane. EMV-like particles with sizes of approximately 100 nm were also observed on the cross section of the membrane (Fig. 2B, arrows), although the exact identification of EMV is quite difficult by SEM alone. After application of our lysis buffer, these trapped materials disappeared (data not shown). In separate experiments, plasma-derived EMV were lysed on the filter plate and mRNA was analyzed as described in the Materials and Methods. As shown in Fig. 2C, various mRNA were quantified in a dose-dependent manner from 30 [micro]L to 1 mL of plasma, with the slope similar to the theoretical values (dotted line). The mRNAs included control housekeeping genes [actin, beta (ACTB) [4] and beta-2-microglobulin (B2M)] and myeloid [defensin, alpha 3, neutrophil-specific (DEFA3) and serglycin (SRGN)], erythroid [hemoglobin, beta (HBB) and uroporphyrinogen decarboxylase (UROD)], and megakaryocyte [integrin, alpha 2b (platelet glycoprotein IIb of IIb/IIIa complex, antigen CD41) (ITGA2B) and integrin, beta 3 (platelet glycoprotein IIIa, antigen CD61) (ITGB3)] lineage-specific genes. The results from out method were also equivalent to the values derived from standard ultracentrifugation, with [r.sup.2] = 0.8611 (Fig. 2D). Most importantly, the Ct values of the target mRNA were reproducible among multiple independent experiments (Fig. 2E). We also measured mRNA genes derived from stem cells [CD34 molecule (CD34)], T cells [CD3e molecule, epsilon (CD3-TCR complex) (CD3E)], CD4 molecule (CD4), CD8a molecule (CD8A), and B cells [CD19 molecule (CD19)], but these genes were not amplified (data not shown).

The characteristics of the 18 patients who underwent allogeneic HSCT are listed in Table 1. The median age of the 12 male and 6 female patients was 38 years (range, 16-71 years). For these 18 patients, the donor samples consisted of 12 unrelated BM, 3 cord bloods, 2 related PB, and 1 related BM. A typical case is shown in Fig. 3A-C, in which the baseline expression of plasma EMV mRNA became undetectable (Ct, >32) just before HSCT and increased after HSCT. Moreover, the recovery of DEFA3, HBB, ITGA2B, and ITGB3 mRNAs in EMV preceded the recovery of white blood cell (WBC), reticulocyte, and platelet counts in the CBC (Fig. 3 arrows). The performances of DEFA3 and HBB were better than those of SRGN and UROD, respectively, and ITGB3 was similar to ITGA2B (Fig. 3, A-C).

As shown in Table 2, patients with DEFA3, HBB, and ITGA2B mRNA recovery by day 15 all showed CBC recovery (WBC >500/[micro]L, reticulocytes >3 x [10.sup.4]/ [micro]L, platelets >20 000/[micro]L) by day 30, respectively, whereas patients with CBC recovery after day 30 showed slower EMV mRNA recovery occurring after day 15. Fig. 4, A-C, shows a graphical representation of all 18 cases, with the first recovery day of CBC on the y axis and the same data of EMV mRNA on the x axis. Any data points above the 45[degrees] dotted line indicated that the recovery of EMV mRNA gave an earlier indication of engraftment than the CBC. As shown in Fig. 4, A-C, individuals with EMV mRNA recovery by day 15 all showed data points above this 45[degrees] dotted line, indicating that EMV mRNA recovery was earlier than that for CBC for all 3 lineages, myeloid, erythroid, and megakaryocyte. By contrast, the EMV mRNA data were not conclusive if mRNA recovery occurred after day 15. Interestingly, EMV mRNA recovery was noted as early as day 7 in 2 individuals with DEFA3 and in 1 individual each with HBB and ITGA2B (Fig. 4). Moreover, as shown in Fig. 4D-F, EMV mRNA recoveries of DEFA3, HBB, and ITGA2B were correlated with the number of nucleated cells in BMA samples at day 15 (n = 11).

The next question was whether early recovery of EMV mRNA would predict the success or failure of HSCT. Thus, the results of EMV mRNA recovery by day 15 were compared with the clinical outcome on day 180 (Table 2). Eight of 11 patients with myeloid lineage mRNA recovery (73%) by day 15 achieved complete remission (CR) or normal hematopoiesis (NH). Furthermore, all patients with the recovery of erythroid or megakaryocyte lineage-specific mRNAs achieved CR or NH (Table 2), although poor mRNA recovery at day 15 or thereafter did not provide an accurate prediction of outcome (Table 2).


Standard total RNA preparation contains rRNA, tRNA, noncoding RNA, and miRNA, as well as full-length and fragmented mRNAs. Thus, the PCR amplification indicates only the presence of primer lesions of RNA. However, owing to the use of the oligo(dT)immobilized microplate and PCR primers designed in the coding region of each target gene, the PCR results in this study indicated the presence of long mRNA from the poly[(A).sup.+] tail to the coding region. Although plasma is a rich source of RNase, EMV mRNA was clearly protected by the encapsulation of EMV membranes. Recent studies also revealed a new biological role of EMV to promote cell-to-cell communication by transferring genetic information such as mRNA and miRNA to remote sites (10, 11). Thus, the identification of long poly[(A).sup.+] mRNA in EMV will be a model platform for the analysis of EMV biology in future.

BM-derived EMV has been reported previously. However, the BM cells in these reports were stromal cells (12), stem cells (13), dendritic cells (14), and mesenchymal stem cells (15), not HPC. DEFA3 is a gene of microbicidal and cytotoxic peptides found in the granules of neutrophils and precursor myeloid cells. These granules are produced in myeloid precursor cells in BM, indicating that DEFA3 mRNA is expressed in myeloid precursor cells more prominently than mature PB neutrophils. In fact, according to the EST (expressed sequence tag) database (http://www.ncbi.nlm. = Hs. 654448), the expression frequency of DEFA3 mRNA is 10 times more in BM than PB. HBB is the gene for the [beta] subunit of hemoglobin. Hemoglobin protein is abundantly expressed in red blood cells (RBC), but owing to the lack of a nucleus in RBC, HBB mRNA cannot be produced in RBC. Thus the origin of HBB mRNA is the erythroblasts in BM and reticulocytes (16). ITGA2B and ITGB3 are platelet-specific integrins. Because platelets do not have a nucleus, the origin of these 2 integrins is the megakaryocytes in BM.

The levels of these mRNAs became undetectable at day 7 in many cases (Fig. 3). This means that BM-derived EMV is cleared through the myeloablative procedure. This also indicates that EMV mRNA may be applicable to monitor the efficacy of the myeloablative procedure. The EMV mRNAs were recovered earlier than traditional CBC (Figs. 3 and 4). This is quite reasonable, because hematopoietic stem cells first grow in BM to produce various HPC, then after a series of maturation processes, WBC, RBC, and platelets are released into PB. Our results (Figs. 3 and 4) indicate that myeloid and erythroid precursor cells and megakaryocytes produce EMV, and such EMV are released into PB earlier than mature WBC, RBC, and platelets. Not only are DEFA3, HBB, and integrin mRNAs present in BM-derived EMV, but also WBC, reticulocytes, and platelets. However, because BM recovery was not detectable using the CBC at the time when EMV mRNAs first appeared in plasma after HSCT, these EMV mRNAs of BM origin can be considered as early indicators of BM recovery.

Although BMA is not very quantitative owing to contamination with PB during aspiration and location-specific variation of the bone, EMV mRNA analysis provides accurate quantitative results. The volume of plasma required was as small as 0.3 mL, and the plasma could be acquired by simple phlebotomy, a procedure far less invasive than BMA. Although BMA cannot be replaced entirely, plasma EMV mRNA analysis may provide an opportunity to reduce the frequency of BMA. Although the number of patients in this study was limited, we believe that the results of this single institution exploratory study are sufficient to encourage the initiation of much larger clinical studies as well as clinical applications in other BM diseases. Although we have demonstrated only a plasma application in this study, this filter plate appears to be applicable to urine, saliva, cell culture supernatant, and other fluids. Data from experiments examining these other sample sources will be made available separately.

Author Contributions: All authors confirmed they have contributed to the intellectual content of this paper and have met the following 3 requirements: (a) significant contributions to the conception and design, acquisition of data, oranalysis and interpretation of data; (b) drafting or revising the article for intellectual content; and (c) final approval of the published article.

Authors' Disclosures or Potential Conflicts of Interest: Upon manuscript submission, all authors completed the author disclosure form. Disclosures and/or potential conflicts of interest:

Employment or Leadership: M. Mitsuhashi, Hitachi Chemical Research Center; T. Murakami, Hitachi Chemical Research Center; M. Oakes, Hitachi Chemical Research Center.

Consultant or Advisory Role: None declared.

Stock Ownership: None declared.

Honoraria: None declared.

Research Funding: The mRNA analysis portion was funded by Hitachi Chemical Research Center. The clinical portion of this study was supported in part by a grant from the Ministry of Health, Labor, and Welfare of Japan.

Expert Testimony: None declared.

Patents: M. Mitsuhashi, patent number 20130172208.

Role of Sponsor: The funding organizations played no role in the design of study, choice of enrolled patients, review and interpretation of data, or preparation or approval of manuscript.

Acknowledgments: We thank the nursing staff of Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, for their assistance in the collection of samples from the patients included in this study. We also thank Dr. Shuichi Miyawaki (Tokyo Metropolitan Otsuka Hospital) for his critical readings and review and the staff of the Hematology Division, Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, for their excellent patient care.


(1.) Lasser C, Alikhani VS, Ekstrom K, Eldh M, Paredes PT, Bossios A, et al. Human saliva, plasma and breast milk exosomes contain RNA: uptake by macrophages. J Transl Med 2011;9:9.

(2.) Mathias RA, Lim JW, Ji H, Simpson RJ. Isolation of extracellular membranous vesicles for proteomic analysis. Methods Mol Biol 2009;528: 227-42.

(3.) Garcia JM, Garcia V, Pena C, Dominguez G, Silva J, Diaz R, et al. Extracellular plasma RNA from colon cancer patients is confined in a vesicle-like structure and is mRNA-enriched. RNA 2008;14: 1424-32.

(4.) Noerholm M, Balaj L, Limperg T, Salehi A, Zhu LD, Hochberg FH, et al. RNA expression patterns in serum microvesicles from patients with glioblastoma multiforme and controls. BMC Cancer 2012; 12:22.

(5.) Turchinovich A, Weiz L, Langheinz A, Burwinkel B. Characterization of extracellular circulating microRNA. Nucleic Acids Res 2011;39:7223-33.

(6.) Jayachandran M, Miller VM, Heit JA, Owen WG. Methodology for isolation, identification and characterization of microvesicles in peripheral blood. J Immunol Methods 2012;375:207-14.

(7.) Mitsuhashi M, Tomozawa S, Endo K, Shinagawa A. Quantification of mRNA in whole blood by assessing recovery of RNA and efficiency of cDNA synthesis. Clin Chem 2006;52:634-42.

(8.) Mitsuhashi M, Endo K, Obara K, Izutsu H, Ishida T, Chikatsu N, Shinagawa A. Exvivo simulation of the action of antileukemia drugs by measuring apoptosis-related mRNA in blood. Clin Chem 2008;54:673-81.

(9.) Mitsuhashi M. Ex vivo simulation of leukocyte function: stimulation of specific subset of leukocytes in whole blood followed by the measurement of function-associated mRNAs. J Immunol Methods 2010;363:95-100.

(10.) Valadi H, Ekstrom K, Bossios A, Sjostrand M, Lee JJ, Lotvall JO. Exosome-mediated transfer of mRNAs and microRNAs is a novel mechanism of genetic exchange between cells. Nat Cell Biol 2007;9:654-9.

(11.) Camussi G, Deregibus MC, Bruno S, Cantaluppi V, Biancone L. Exosomes/microvesicles as a mechanism of cell-to-cell communication. Kidney Int 2010;78:838-48.

(12.) Katakowski M, Buller B, Zheng X, Lu Y, Rogers T, Osobamiro 0, et al. Exosomes from marrow stromal cells expressing miR-146b inhibit glioma growth. Cancer Lett 2013;335:201-4.

(13.) He J, Wang Y, Sun S, Yu M, Wang C, Pei X, et al. Bone marrow stem cells-derived microvesicles protect against renal injury in the mouse remnant kidney model. Nephrology 2012;17:493-500.

(14.) Yang X, Meng S, Jiang H, Zhu C, Wu W. Exosomes derived from immature bone marrow dendritic cells induce tolerogenicity of intestinal transplantation in rats. J Surg Res 2011;171:826-32.

(15.) Collino F, Deregibus MC, Bruno S, Sterpone L, Aghemo G, Viltono L, et al. Microvesicles derived from adult human bone marrow and tissue specific mesenchymal stem cells shuttle selected pat tern of miRNAs. PLoS One 2010;5:e11803.

(16.) Rieu S, Geminard C, Rabesandratana H, Sainte-Marie J, Vidal M. Exosomes released during reticulocyte maturation bind to fibronectin via integrin alpha4beta1.Eur J Biochem 2000;267: 583-90.

Jun Aoki, [1] Kazuteru Ohashi, [1] Masato Mitsuhashi, [2] * Taku Murakami, [2] Melanie Oakes, [2] Takeshi Kobayashi, [1] Noriko Doki, [1] Kazuhiko Kakihana, [1] and Hisashi Sakamaki [1]

[1] Hematology Division, Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital, Tokyo, Japan; [2] Hitachi Chemical Research Center, Irvine, CA.

* Address correspondence to this author at: Hitachi Chemical Research Center, 1003 Health Sciences Rd., Irvine, CA 92617. Fax 949-725-2727; e-mail

Part of this study was presented at the annual meeting of the EBMT (European Group for Blood and Marrow Transplantation) in 2012 in Geneva, Switzerland. Received August 12, 2013; accepted December 16, 2013.

Previously published online at DOI: 10.1373/clinchem.2013.213850

[3] Nonstandard abbreviations: BMA, Bone marrow aspiration; HSCT, hematopoietic stem cell transplantation; HPC, hematopoietic precursor cells; PB, peripheral blood; EMV, exosomes and microvesicles; mRNA, messenger RNA; miRNA, micro RNA; RT-PCR, reverse transcription PCR; SEM, scanning electron microscopy; Ct, cycle threshold; CBC, complete blood count; WBC, white blood cell; CR, complete remission; NH, normal hematopoiesis; RBC, red blood cells.

[4] Human genes: ACTB, actin, beta; B2M, beta-2-microglubulin; DEFA3, defensin, alpha 3, neutrophil-specific; SRGN, serglycin; HBB, hemoglobin, beta; UROD, uroporphyrinogen decarboxylase; ITGA2B, integrin, alpha 2b (platelet glycoprotein IIb of IIb/IIIa complex, antigen CD41); ITGB3, integrin, beta 3 (platelet glycoprotein IIIa, antigen CD61); CD34, CD34 molecule; CD3E, CD3e molecule, epsilon (CD3-TCR complex); CD4, CD4 molecule; CD8A, CD8a molecule; CD19, CD19 molecule.

Table 1. Patient characteristics.

Case   Age,    Sex        Disease        Initial disease   Donor
no.    years                                 status

1      33      M     [Ph.sup.+]ALL (a)   CR2                RPB
2      38      M     MDS                 RCMD               BM
3      16      M     SAA                 TD                 BM
4      71      F     AML                 CR3                BM
5      60      M     MDS                 RCMD               BM
6      25      M     ALL                 CR1                BM
7      39      F     AML                 CR1                RPB
8      39      F     [Ph.sup.+]ALL       CR1                CB
9      28      M     SAA                 TD                 BM
10     33      F     AML                 CR2 post BMT       BM
11     37      M     AML                 RL1 post BMT       BM
12     60      M     AML                 CR1                BM
13     28      M     [Ph.sup.+]ALL       CR1                CB
14     38      M     ALL                 RL1                BM
15     60      M     MDS                 RAEB 1             RBM
16     33      F     AML                 RL2                BM
17     62      M     ALL                 CR1                BM
18     46      F     AML                 RL1                CB

Case   Conditioning        CMV        Acute
no.                   reactivation,   GvHD,
                         yes/no       grade

1          M               No          No
2          M               Yes         No
3          M               Yes          2
4         Non-M            Yes          1
5          M               Yes          2
6          M               Yes          2
7          M               No           1
8          M               Yes          1
9          M               Yes          2
10         M               No          No
11         M               Yes          1
12         M               Yes          1
13         M               No           1
14         M               No           1
15         M               Yes          2
16         M               No           2
17         M               Yes         No
18         M               No           1

(a) [Ph.sup.+]ALL, Philadelphia chromosome-positive acute
lymphoblastic leukemia; MDS, myelodysplastic syndrome;
SAA, severe aplastic anemia; AML, acute myeloid leukemia;
CR2, second CR; RCMD, refractory cytopenia with
multilineage dysplasia; TD, transfusion dependent; RL1,
first relapse; BMT, BM transplantation; RAEB, refractory
anemia with excessive blast; RPB, related PB; CB, cord
blood; M, myeloablative; CMV, cytomegalovirus; GvHD,
graft vs host disease.

Table 2. Correlations among EMV mRNA, CBC, and
clinical outcomes.

              RNA      CBC recovery, n            Status on day 180, n
           days (a)

                       [less than or   >30 days   CR/NH   RL/TD (c)
                       equal to] 30
                         days (b)

WBC        [less than
           or equal
           to] 15           11             0        8         3
              >15            6             1        4         3
RBC        [less than
           or equal
           to] 15            6             0        6         0
              >15            2            10        6         6
Platelet   [less than
           or equal
           to] 15            6             0        6         0
              >15            1            11        6         6

(a) RNA elevation, DEFA3 for WBC, HBB for RBC, and ITGA2B for
platelets, respectively.

(b) CBC recovery was WBC >500/[micro]L, reticulocyte >3 x [10.sup.4]/
[micro]L, and platelets >20,000/[micro]L

(c) RL, relapse; TD, transfusion dependent.
COPYRIGHT 2014 American Association for Clinical Chemistry, Inc.
No portion of this article can be reproduced without the express written permission from the copyright holder.
Copyright 2014 Gale, Cengage Learning. All rights reserved.

Article Details
Printer friendly Cite/link Email Feedback
Title Annotation:Hematology
Author:Aoki, Jun; Ohashi, Kazuteru; Mitsuhashi, Masato; Murakami, Taku; Oakes, Melanie; Kobayashi, Takeshi;
Publication:Clinical Chemistry
Article Type:Report
Date:Apr 1, 2014
Previous Article:Screening method to evaluate point-of-care human chorionic gonadotropin (hCG) devices for susceptibility to the hook effect by hCG [beta] core...
Next Article:Quantification of tau in cerebrospinal fluid by immunoaffinity enrichment and tandem mass spectrometry.

Terms of use | Privacy policy | Copyright © 2021 Farlex, Inc. | Feedback | For webmasters