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Anti-Tumor Effects of Atractylenolide-I on Human Ovarian Cancer Cells
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Med Sci Monit. 2017; 23: 571–579.
Published online 2017 Jan 31. doi: 10.12659/MSM.902886
PMCID: PMC5297331
PMID: 28141785

Anti-Tumor Effects of Atractylenolide-I on Human Ovarian Cancer Cells

Fangyi Long,1,A,D,E,F,G,* Ting Wang,2,B,C,D,E,F,* Ping Jia,1,A,D,G Huafei Wang,1,B,C,D Yi Qing,1,B,C,D Tingting Xiong,1,B,C,F Mengjie He,1,C,F and Xiaoli Wang1,B,F

Abstract

Background

The aim of this study was to investigate the effects of Atractylenolide-I (AT-I), a naturally occurring sesquiterpene lactone isolated from Atractylodes macrocephala Koidz, on human ovarian cancer cells.

Material/Methods

The viability and anchorage-independent growth of ovarian cancer cells were evaluated using MTT and colony formation assay, respectively. Cell cycle and apoptosis were detected with flow cytometry analysis. The level of cyclin B1 and CDK1 was measured using qPCR and ELISA analysis. The expression of Bax, cleaved caspase-9, cleaved caspase-3, cytochrome c, AIF, and Bcl-2, and phosphorylation level of PI3K, AKT, and mTOR were determined with Western blot analysis.

Results

AT-I decreased the cell viability and suppressed anchorage-independent growth of A2780 cells. Cell cycle was arrested in G2/M phase transition by AT-I treatment, which was related to decreased expression of cyclin B1 and CDK1 in a dose-dependent manner. In addition, the treatment induced apoptosis, as shown by up-regulation of Bax, cleaved caspase-9, cleaved caspase-3, and cytosolic release of cytochrome c and AIF, and down-regulation of Bcl-2, in a dose-dependent manner. Then, the effects of AT-I on PI3K/Akt/mTOR pathways were examined to further investigate the underlying anti-cancer mechanism of AT-I, and the results showed that treatment with AT-I significantly decreased the phosphorylation level of PI3K, Akt, and mTOR.

Conclusions

This study demonstrated that AT-I induced cell cycle arrest and apoptosis through inhibition of PI3K/Akt/mTOR pathway in ovarian cancer cells. These results suggest that AT-I might be a potential therapeutic agent in the treatment of ovarian cancer.

MeSH Keywords: Apoptosis Inducing Factor, Cell Cycle Checkpoints, Ovarian Neoplasms

Background

Ovarian cancer, which is the most common cause of death among women with cancer, has the highest prevalence among gynecological cancers worldwide, with more than 238 700 newly diagnosed cases and 151 900 reported deaths per year, and usually has a poor prognosis [1,2]. Platinum- and taxane-based treatment is the first-line chemotherapy for ovarian cancer, but more than two-thirds of ovarian cancer patients are still at significant risk of recurrence with this treatment [3]. Therefore, it is necessary to develop novel treatment strategies for women diagnosed with this cancer.

Natural products have aroused great interest for their high anti-tumor activity and low toxicity in recent years. Atractylenolide-I (AT-I) is a naturally occurring sesquiterpene lactone isolated from Atractylodes macrocephala Koidz, and has exhibited a wide range of pharmacological and biological activities, such as anti-inflammation, anti-oxidative stress, and anti-tumor effects [47]. Previous studies indicated that AT-I induced cell cycle arrest in G2/M phase and triggered cellular apoptosis, depending on the activation of the mitochondrial apoptotic pathway in bladder cancer cells [6], and ERK/GSK3β signaling was shown to be involved in the apoptotic and cell cycle arrest effects of AT-I in melanoma cells [7]. In addition, a clinical study showed that AT-I improved appetite and Karnofsky performance status of gastric cancer cachexia patients, while fewer adverse effects were observed [8]. These studies indicated that AT-I is a promising anti-tumor agent. However, the effects of AT-I on the proliferation and apoptosis of ovarian cancer cells have never been explored, and the underlying mechanism needs further investigation.

In the present study, we explored the effects of AT-I on cell cycle, apoptosis, and the PI3K/Akt/mTOR signaling pathway in the A2780 ovarian cancer cell line. Our results provide further evidence of the molecular mechanisms that allow AT-I to exert its potential role as a chemotherapeutic agent in ovarian cancer.

Material and Methods

Reagents

Atractylenolide-I (AT-I) was purchased from Chengdu Best-Reagent Co. Ltd. (Chengdu, Sichuan, China). MTT (3-[4, 5-dimethylthiazol-2-yl]-2, 5-diphenyl tetrazolium bromide) was from Sigma Chemical Co. Ltd. (St. Louis, MO, USA). Primary antibodies against Bcl-2, Bax, apoptosis-inducing factor (AIF), cytochrome c, caspase-9, caspase-3, Akt, p-Akt, mTOR, p-mTOR, and β-actin were obtained from Cell Signaling Technology (Beverly, MA, USA), and primary antibodies against PI3K and p-PI3K were obtained from Abcam Inc. (Cambridge, UK). ELISA kits for cyclin B1 and CDK1 were from Cusabio Inc. (Wuhan, Hubei, China).

Cell lines and cultures

The ovarian cancer cell line A2780 was purchased from American Type Culture Collection (ATCC, Manassas, VA, USA) and cultured in RPMI 1640 medium (Gibco BRL, Grand Island, NY, USA) supplemented with 10% FBS (HyClone, Logan, UT, USA) at 37°C with 5% CO2 in a humidified incubator.

Cell viability assay

The effects of AT-I on the viability of A2780 cells were detected by MTT assay. The cells (1×105 per well) were seeded into 96-well plates and incubated for 24 h. After treatment with AT-I (0, 12.5, 25, 50, 100 and 200 μM) for 24, 48, and 72 h, the viability of the cancer cells was detected with MTT. We added 10 μl MTT solution (5 mg/ml) to each well, and the mixtures were incubated for 4 h at 37°C. Then, the MTT solution was removed and 150 μl of DMSO was added to the wells. The absorbance was measured using a Multiskan MK3 Reader (Thermo Fisher Scientific, Waltham, MA, USA) at 570 nm wavelength. Cell viability=(OD of experimental well/OD of control)×100%.

Colony formation assay

A2780 cells at densities of 2×105 cells were seeded on 6-well plates with a top layer of 0.3% agar and a bottom layer of 0.6% agar. Treatment groups were administered with AT-I for 14 days in A2780 cells. The normal growth medium was applied on top of the cell layer and changed every 3 days. Colonies were counted manually and images were captured using a Panasonic Lumix DMC-FH3 camera (Panasonic, Osaka, Japan).

Cell cycle analysis

The A2780 cells were seeded in 6-well plates (1×106 per well). After treatment with AT-I for 48 h, the cells were digested, centrifuged, collected, and washed with PBS, resuspended with precooled 75% ethanol, and fixed at 4°C overnight. Each sample was suspended in 450 μl PBS, and 50 μl PI (0.5 mg/ml) was added to the cell suspension, mixed, and incubated at 37°C for 30 min in the dark. The mixture was centrifuged to remove the supernatant, and cells were resuspended in PBS and assessed by flow cytometry (BD Biosciences, Franklin L, NJ, USA) to analyze the cell cycle distribution.

Apoptosis detection

For apoptosis analysis, Annexin V/PI staining (Nanjing Jiancheng Bioengineering Institute, Nanjing, China) was performed by flow cytometry (BD Biosciences, Franklin L, NJ, USA). Briefly, after 48 h of AT-I treatment, the A2780 cells were washed with ice-cold PBS and incubated with Annexin V/PI in the dark at room temperature for 15 min. The fluorescence of the cells was detected by flow cytometry using a FITC signal detector (FL1) and a PI signal detector (FL2). Early-stage and late-stage apoptotic cells (Ann+/PI+) were examined by fluorescence-activated cell sorting (FACS) analysis performed with a FACScan flow cytometer using Kaluza analysis software (Beckman Coulter, Fullerton, CA, USA).

RNA isolation and qPCR

Total RNA was extracted from A2780 cells (1×106 cells per well) using TRIzol reagent (Invitrogen, Carlsbad, CA, USA) following the manufacturer’s protocol. cDNA was synthesized from 1 μg of RNA using a reverse transcription system (Bio-Rad, Hercules, CA, USA), and qPCR was performed using the iQ5 Real-Time PCR system (Bio-Rad, Hercules, CA, USA). Reaction mixtures consisted of 5 μl SsoFast EvaGreen Supermix (Bio-Rad, Hercules, CA, USA), 0.5 μl primer (10 mM), 1 μl cDNA, and 3 μl ddH2O. Thermal cycling conditions consisted of an initial denaturation step of 95°C for 30 s, followed by 40 cycles of denaturation at 95°C for 5 s and annealing and extension at 55°C for 10 s. qPCR was performed using β-actin as an internal control to analyze cyclin B1 and CDK1 mRNA expression in A2780 cells and the primers listed in Table 1.

Table 1

Details of primer sequences used for qPCR.

GeneSequence (5′-3′)Product size (bp)
Cyclin B1F: TCTGGATAATGGTGAATGGACA157
R: CGATGTGGCATACTTGTTCTTG
CDK1F: TAGCGCGGATCTACCATACC128
R: CATGGCTACCACTTGACCTGT
β-actinF: ATAGCACAGCCTGGATAGCAACGTAC158
R: CACCTTCTACAATGAGCTGCGTGTG

ELISA assay

A2780 cells were seeded in 6-well plates (1×105 per well) in 1 ml of medium and treated with or without AT-I for 48 h. The supernatants were collected, and then the levels of cyclin B1 and CDK1 were measured using ELISA kits according to the manufacturer’s instructions.

Protein lysate preparation and Western blot analysis

Protein lysates were prepared using RIPA buffer (Beyotime Biotechnology, Jiangsu, China) supplemented with protein inhibitor cocktail (Sigma-Aldrich, St. Louis, MO, USA). The cytosolic extracts were isolated using a cytoplasmic protein extraction kit (Beyotime Biotechnology, Jiangshu, China) due to determination of subcellular localization of cytochrome c and AIF. Protein samples were fractioned by 10% SDS-PAGE and transferred onto the PVDF membrane. After blocking with 5% BSA in TBST for 1 h, the cropped membranes were then incubated with a primary antibody against Bcl-2, Bax, AIF, cytochrome c, caspase-9, caspase-3 (1: 1000), Akt, p-Akt, PI3K, p-PI3K, mTOR, p-mTOR (1: 500), and β-actin (1: 2000) at 4°C overnight, followed by detection with horseradish peroxidase-conjugated secondary antibodies (Boster Biological Technology, Wuhan, China) and the ECL chemiluminescence kit (Bio-Rad, Hercules, CA, USA). The optical density of each band was determined using Image Lab 5.0 software (Bio-Rad, Hercules, CA, USA).

Statistical analysis

Statistical analysis was performed using SPSS 16.0 (International Business Machines, Armonk, NY, USA) and GraphPad Prism 6 (GraphPad Software, La Jolla, CA, USA). For continuous variables, the results are shown as mean with standard error of mean (SEM). Differences among groups were analyzed by one-way analysis of variance (ANOVA). P values less than 0.05 were considered statistically significant.

Results

Cytotoxic effects of AT-I on A2780 cells

MTT assay was used to detect cytotoxic effects of AT-I on a panel of A2780 cells. As shown in Figure 1, treatment with AT-I (12.5–200 μM) for 24, 48, or 72 h dose- and time-dependently decreased the cell viability of A2780 cells compared with the vehicle-treated controls. Treatment with AT-I up to 100 μM for 24 h or 50 μM for 48 h or 72 h showed significant effects on cell growth, and treatment with AT-I (12.5–100 μM) for 48 h in A2780 cells was chosen for further detailed mechanistic investigation.

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Inhibitory effects of AT-I on A2780 ovarian cancer cells growth. AT-I dose- and time-dependently inhibited A2780 cells growth. MTT assay was performed to evaluate growth of A2780 cells treated with AT-I at the indicated concentrations for 24, 48, or 72 h. The data are expressed as mean ±SEM (n=3). The experiments were performed in triplicate. * P<0.05; ** P<0.01 and *** P<0.001, compared with vehicle-treated controls.

AT-I suppressed anchorage-independent growth of A2780 cells

To explore the effect of AT-I on the anchorage-independent growth of A2780 cells, the soft agar assay was used. A2780 cells were grown in soft agar containing AT-I (12.5–100 μM) for 14 days. As illustrated in Figure 2, colony formation of A2780 cells was significantly reduced by AT-I at 12.5, 25, 50, and 100 μM by 37.49%, 40.35%, 59.05%, and 76.45%, respectively. These results indicate that AT-I inhibits the anchorage-independent growth of A2780 cells in soft agar.

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AT-I inhibited anchorage-independent growth of A2780 ovarian cancer cells. (A) A2780 cells were grown in soft agar containing AT-I (0, 12.5, 25, 50, and 100 μM) for 14 days. (B) Quantitative results obtained using colony formation assay. The data are expressed as mean ±SEM (n=3). The experiments were performed in triplicate. * P<0.05 and ** P<0.01, compared with vehicle-treated control.

AT-I induced cell cycle arrest at G2/M phase

To investigate the effects of AT-I on cell cycle, PI staining and flow cytometry analyses were used to detect the cell cycle phases of A2780 cells treat with AT-I (12.5–100 μM) for 48 h. As demonstrated in Figure 3A, the percentage of A2780 cells in G2/M phase was significantly increased in the AT-I (50 and 100 μM) treatment group, while the proportion of cells in G0/G1 and S phase were decreased in the AT-I (100μM) treatment group, compared with the control group, suggesting that AT-I induced cell cycle arrest through affecting cell cycle progression to mitosis.

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AT-I induced cell cycle arrest at the G2/M phase. (A) PI staining and FACS analysis were used to investigate the induction of G2/M phase arrest in A2780 cells treated with AT-I at the indicated concentrations for 48 h. (B) AT-I regulated cell cycle related factors in A2780 cells. qPCR and ELISA analysis were used to detect expression of cell cycle-related factors in A2780 cells treated with AT-I at the indicated concentrations for 48 h. The data are expressed as mean±SEM (n=3). The experiments were performed in triplicate. * P<0.05; ** P<0.01 and *** P<0.001, compared with vehicle-treated controls.

To investigate the underlying mechanisms of AT-I-induced cell cycle arrest and its inhibitory effects on cell growth of A2780 cells, the expressions of cell cycle-related protein (cyclin B1 and CDK1) were examined using qPCR and ELISA. As shown in Figure 3B, AT-I dose-dependently reduced mRNA and protein levels of cyclin B1 and CDK1 in A2780 cells, confirming that AT-I induced cell cycle arrest through affecting cell cycle progression to mitosis. Altogether, our results suggest that AT-I prevented A2780 cells mitosis by down-regulation of cyclin B1 and CDK1 and cell cycle G2/M arrest, thus contributing to the inhibition of A2780 cell growth.

AT-I induced apoptosis in A2780 cells

To investigate whether AT-I induced apoptosis, we analyzed Annexin V/PI-stained A2780 cells by flow cytometry. As demonstrated in Figure 4, treatment with 0, 12.5, 25, 50, and 100 μM AT-I for 48 h dose-dependently increased early and late stages of apoptotic cells with the increase of Ann+/PI− and Ann+/PI+ cells in a dose-dependent manner.

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Object name is medscimonit-23-571-g004.jpg

AT-I induced apoptosis in ovarian cancer cells. (A) AT-I induced apoptosis in A2780 cells in a dose-dependent manner. FACS analysis following Annexin V/PI staining was used to examine the percentage of early apoptotic cells (Ann+/PI−) and late-stage apoptotic cells (Ann+/PI+) in A2780 cells treated with AT-I at the indicated concentrations for 48 h. (B) Quantitative results obtained using Annexin V/PI staining. The data are expressed as mean ±SEM (n=3). The experiments were performed in triplicate. ** P<0.01 and *** P<0.001, compared with vehicle-treated control.

To investigate the underlying mechanisms by which AT-I induced apoptosis in A2780 cells, Western blot analysis was used to examine changes in the molecules of the apoptosis signaling pathways. As shown in Figure 5, the results revealed that AT-I induced up-regulation of proapoptotic protein Bax and down-regulation of anti-apoptotic protein Bcl-2, which could increase cytochrome C and AIF in the cytosol, and then activated the cytosolic caspase-9. Activated caspase 9 could further activate caspase 3, which then induced cell apoptosis. Taken together, these results suggest that AT-I can induce A2780 cells apoptosis through caspase-dependent and -independent mitochondrial pathways.

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AT-I activated mitochondria-mediated apoptosis pathways in A2780 cells. Western blot analysis was performed to detect expression of apoptosis related factors in A2780 cells treated with AT-I at the indicated concentrations for 48 h. (A) Representative Western blots of the main factors related to mitochondria-mediated apoptotic signaling pathways. (B–E) The quantification of the expression of apoptosis-related factors. The data are expressed as mean ±SEM (n=3). The experiments were performed in triplicate. * P<0.05; ** P<0.01 and *** P<0.001, compared with vehicle-treated controls.

AT-I inhibited PI3K/Akt/mTOR signaling pathways

The PI3K/Akt/mTOR pathway is a major survival pathway, and its abnormal activation is frequently involved in cancer development and progression; therefore, we further investigated the effects of AT-I on the PI3K/Akt/mTOR pathway in A2780 cells using Western blot assay. As shown in Figure 6, treatment with AT-I for 48 h dose-dependently decreased the phosphorylated PI3K, Akt, and mTOR in A2780 cells. These findings suggest that AT-I has potent cytotoxicity in A2780 cells via inhibition of the PI3K/Akt/mTOR pathway.

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AT-I modulated PI3K/Akt/mTOR signaling pathway in A2780 cells. The A2780 cells were treated with AT-I at the indicated concentrations for 48 h, and then collected for Western blot analysis. (A) Representative Western blot of the phosphorylated proteins of PI3K/Akt/mTOR pathway. (B–E) The quantification of level of the phosphorylated proteins. The data are expressed as mean ±SEM (n=3). The experiments were performed in triplicate. * P<0.05 and ** P<0.01, compared with vehicle-treated control.

Discussion

Recent research showed that AT-I modulated cell-mediated immunosuppression, and sensitized ovarian cancer cells to paclitaxel by blocking activation of the TLR4/MyD88-dependent pathway [9,10]. However, the anti-ovarian cancer mechanism of AT-I is not fully understood. In our study, we investigated the effects of AT-I on cell cycle and apoptosis in ovarian cancer cells and its underlying mechanisms.

It was well recognized that cancer cells are characterized by unregulated cell cycle, and cell cycle arrest is one of the major mechanisms of many anti-tumor drugs. Due to defective G1 checkpoint during cell replication, many cancer cells depend on G2 checkpoint more than normal cells [11,12]. In addition, cell cycle progression is regulated by cyclin-dependent kinases (CDKs) and their regulatory cyclins. Cyclin B1 and CDK1 are involved in controlling the G2/M checkpoint [13], and some anti-tumor drugs induce G2/M arrest by decreasing the expression of cyclin B1 and CDK1[14,15]. In our study, we found that treatment with AT-I leads to the G2/M arrest in A2780 cells with the down-regulation of cellular cyclin B1 and CDK1, suggesting that AT-I prevented A2780 cell mitosis by inhibition of cyclin B1 and CDK1 expression, and induction of cell cycle at G2/M phase, which contribute to the inhibitory effects.

Apoptosis plays a critical role in maintaining homeostasis through regulation of the balance between cell growth and death. It was shown that many natural compounds suppress the proliferation of cancer cells through induction of apoptosis [16,17]. The induction of apoptosis is a common mechanism proposed for the cytotoxic effects of anti-cancer drugs extracted from herbal medicine [18]. Therefore, apoptosis has become the major target for most anti-cancer agents. In the mitochondrial apoptotic pathway, interactions among Bcl-2 family proteins could regulate mitochondrial membrane permeabilization [19], which is critical to activate the inherent apoptosis pathway through releasing of cytochrome c and AIF from mitochondria into cytoplasm, and then induction of caspase-dependent and independent cascades. In our study, Western blot assay was used to examine the effects of AT-I on related factors of the mitochondrial apoptosis pathway in A2780 cells. AT-I can induce up-regulation of Bax, cleaved caspase-9, cleaved caspase-3, cytosolic release of cytochrome C and AIF, and down-regulation of Bcl-2. These findings suggested that the anti-cancer activity of AT-I is related to the induction of apoptosis via activation of mitochondrial caspase-dependent and -independent cascades in A2780 cells.

The PI3K/Akt/mTOR pathway is critical to regulation of normal cell physiology and cancer proliferation, tumorigenesis, and metastasis, and activation of the pathway is beneficial to the survival of cancer cells through activation of its downstream genes that are closely related to cell cycle and apoptosis [20,21]. Recent research showed that the PI3K/Akt/mTOR pathway is involved in cell proliferation and apoptosis, and inhibition of this pathway can result in induction of cell cycle arrest and apoptosis in cancer cells [22,23]. Recent clinical studies have reported that activation of the PI3K/AKT/mTOR pathway correlates with tumor progression and reduced patient survival [24]. Various genetic alterations that activate PI3K/Akt/mTOR signaling have been found in ovarian cancer [2528]. Therefore, inhibitors of this pathway are currently being evaluated as treatment strategies for ovarian cancer [29]. To further investigate the potential anti-tumor mechanisms of AT-I, we investigated the effects of AT-I on PI3K/Akt/mTOR pathways in A2780 cells. Our results demonstrate that AT-I can decrease PI3K, Akt, and mTOR phosphorylation, suggesting that the anti-tumor effects of AT-I are associated with inhibition of the PI3K/Akt/mTOR signaling pathway.

Conclusions

In this study, we demonstrated that AT-I isolated from Atractylodes macrocephala Koidz can induce cell cycle arrest and apoptosis through inhibition of the PI3K/Akt/mTOR signaling pathway in A2780 cells. Our results suggest that AT-I may be as a potential agent for the treatment of ovarian cancer.

Footnotes

Source of support: Departmental sources

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Bioscience

Biosensis

Bioss

Bioss

Biotech

Biotium

Biotrend

BioVendor-Laboratorni medicina a.s. CTPark Modrice

BioVision

Bioworld

Bioworlde

BioZol

BMA Biomedicals

Boehringer Mannheim

Bon Opus Biosciences

Boster

Boster

Briar Patch Biosciences

CalBioreagents

Cambio

Cambridge Bioscience

Canada

Cancer Research UK

Capralogics

Caprico Biotechnologies

Cascade Bioscience

Cayman

Cayman Chemical

Cedarlanelabs

Cell Marque

Cell Sciences

Cell Signal

Cell Signaling Technology

Celltechgen

CFTR Folding Consortium

Charles River Laboratories

Chemicon

China

ChromoTek GmbH

Clonegene

Cloud

Cloud-Clone Corp

Cocalico Biologicals

Company

Corning

Cosmo Bio

CovalAb

Creative Biomart

Creativebiolabs

CrownBio

Cruz

Crystal Chem

Cusabio

Cytognos

Cytoskeleton

Cytotech

D-Gen

Dako

DB Biotech

Dbiosys

Dentritics

Detroit R&D

Developmental Studies Hybridoma Bank

Diaclone

Diagenode

Dianova

Diasorin

Diatheva

Eagle BioSciences

Eagle-I

East Coast Biologics

Echelon Biosciences

ECM Biosciences

Eenzyme

EIAab

Eli Lilly

EMD Millipore

Emfret Analytics

EnCor Biotechnology

Enzo Life Sciences

EPC Elastin Products Company

EpiCypher

Epigentek

Equitech-bio

Euro Diagnostica

EuroBioSciences

Eurogentec

Euromedex

Everest Biotech

Evrogen

Exalpha Biologicals

Exbio

Expression Systems

Fabgennix

FibroGen

Fisher

Fitzgerald Industries

Fluidigm

Frontier Institute

Full Moon BioSystems

GE Healthcare Life Biosciences

Gemacbio

Gen-Probe

GeneCopoeia

Genemed

Genentech

GeneTex

Genox

GenScript

Gentaur

Genway Biotech

Genzyme

Germany

Gibco

Gmbh

Haematologic Technologies

Health Protection Agency Culture Collections

Hitachi High Technologies America

Honda

HumanZyme

Hycult Biotech

Hytest

IBL International GmbH

IBT Bioservices

Icosagen

ID Labs

Immundiagnostik

Immune Technology

Immuno-Biological Laboratories

Immunoglobe

ImmunoStar

IMMUNOSTEP

ImmunoTools

Immunovision

Immunoway

ImmunoWay

ImmuQuest

in-house

Inc.

Individual Researcher

Ingenasa

Innogenetics

Innovative Research

Inova Diagnostics

Insightbio

Interchim

International Blood Group Reference Laboratory

Invitrogen

Invitrogen

InvivoGen

J. Sevigny's research lab

Jackson ImmunoResearch Laboratories

Japan

Jena Bioscience

Kamiya Biomedical Company

KeraFAST

Kirkegaard & Perry Laboratories

Kyowa

Laboratories

labs

LAE Biotech

Leica

Leica Biosystems

LI-COR Biosciences

LifeSensors

LifeSpan Biosciences

List Biological Laboratories

Lpbio

Ltd.

Luminex Corporation

Lunginnov

M?diMabs

MABTECH

Mabtechnologies

Maine Biotechnology Services

Matreya

MaxVision Biosciences

MBL International

MD Bioproducts

MD Biosciences

Mediagnost

Medicorp

MedImmune

Menarini

Meridian Life Science

MICROM International GmbH

Millipore

Miltenyi Biotec

Mobitec

Molecular Innovations

Monosan

Moravian Biotechnology

MP Biochemicals

multimmune GmbH

MyBioSource

Nacalai Tesque

Nanoprobes

Nanotools

National Institutes of Health AIDS Research and Reference Reagent Program

Neoclone

Neogeneurope

Neuromab

Neuromics

New England Biolabs

NewEast Biosciences

Nichirei Biosciences Inc.

Nordic BioSite

Nordic-MUbio

Nova Lifetech

Novartis

NovaTec Immundiagnostica GmbH

Novus Biologicals

Nussloch

Ocean Optics Inc.

OriGene

Osenses

Oxisresearch

Panvera

PBL Assay Science

Pel-Freez

PeproTech

PeproTech

PerkinElmer

Perrigo

Perseus Proteomics

Pfizer

Phoenix Pharmaceuticals

Phosphosolutions

Pierce

PIK3CA

Pishtaz Teb Zaman Diagnostics

Polysciences

Precision Antibody

Progen

ProMab

Promega

ProSci

ProSpec

Protein Mods

Protein Sciences

ProteinOne

Proteintech Group

Proteus Biosciences

QED Bioscience

Qiagen

Qiagen

Quartett GmbH

QuickZyme Biosciences

Quidel

R&D Systems

Randox Life Sciences

RayBiotech

RD-Biotech

Recombinant Antibody Network

Reliatech GmbH

ReproCELL

Roche

Roche Applied Science

Rockland Immunochemicals

Sanbio

Sangon

Sanquin

Santa

Santa Cruz Biotechnology

SCETI

SCICONS

Scientific

Scytek

Sekisui Diagnostics (UK) Limited

Selleck

Selleck Chemicals

SICGEN

Sigma

Sigma-Aldrich

SignalChem Pharmaceuticals

Sino Biological

Somru BioScience

Sony

Source BioScience

SouthernBiotech

Spanish National Cancer Research Centre

Speed BioSystems

Spring Bioscience Corp.

St John's Laboratory

Stemcell Technologies

StemRD

Strategic Diagnostics

StressMarq Biosciences

Sungene Biotech

Svar Life Science

SWant

Switzerland

Syd Labs

Symansis

Synaptic Systems

System Biosciences

systems

Taiwan

Takara Bio Clontech

Takara Bio Inc

Tebu

technology

Thermo

Tocris

Tocris Bioscience

Tonbo

Tonbo Biosciences

TopoGEN

Toronto BioScience

Torrey Pines Biolabs

Toxintechnology

TOYOBO

TRANS GENIC

Trendpharmatech

Trevigen

Triple Point Biologics

Tulip Biolabs

US Biological

USA

Vector Laboratories

Ventana

Vincibiochem

Virogen

ViroStat

Virusys

Vision Biosystems

VMRD

Wako Chemicals USA

Wieslab

WILEX Inc.

Wolwobiotech

Wuhan Fine Biotech Co.,Ltd.

Xenotech

Ximbio

YAMASA

YO Proteins

Zebrafish International Resource Center

Zeta Corporation

Zymo Research Corporation

ZYTOMED Systems

Specialchars

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Dictionary