Literature DB >> 29322079

Fibroblast and keratinocyte gene expression following exposure to extracts of neem plant (Azadirachta indica).

Takao Someya1, Katsura Sano1, Kotaro Hara1, Yoshimasa Sagane2, Toshihiro Watanabe2, R G S Wijesekara3.   

Abstract

This data article provides gene expression profiles, determined by using real-time PCR, of fibroblasts and keratinocytes treated with 0.01% and 0.001% extracts of neem plant (Azadirachta indica), local name "Kohomba" in Sri Lanka, harvested in Sri Lanka. For fibroblasts, the dataset includes expression profiles for genes encoding hyaluronan synthase 1 (HAS1), hyaluronan synthase 2 (HAS2), hyaluronidase-1 (HYAL1), hyaluronidase-2 (HYAL2), versican, aggrecan, CD44, collagen, type I, alpha 1 (COL1A1), collagen, type III, alpha 1 (COL3A1), collagen, type VII, alpha 1 (COL7A1), matrix metalloproteinase 1 (MMP1), acid ceramidase, basic fibroblast growth factor (bFGF), fibroblast growth factor-7 (FGF7), vascular endothelial growth factor (VEGF), interleukin-1 alpha (IL-1α), cyclooxygenase-2 (cox2), transforming growth factor beta (TGF-β), and aquaporin 3 (AQP3). For keratinocytes, the expression profiles are for genes encoding HAS1, HAS2, HYAL1, HYAL2, versican, CD44, IL-1α, cox2, TGF-β, AQP3, Laminin5, collagen, type XVII, alpha 1 (COL17A1), integrin alpha-6 (ITGA6), ceramide synthase 3 (CERS3), elongation of very long chain fatty acids protein 1 (ELOVL1), elongation of very long chain fatty acids protein 4 (ELOVL4), filaggrin (FLG), transglutaminase 1 (TGM1), and keratin 1 (KRT1). The expression profiles are provided as bar graphs.

Entities:  

Keywords:  Azadirachta indica; Fibroblast; Gene expression profile; Keratinocyte; Kohomba; Neem extract; Real-time PCR

Year:  2017        PMID: 29322079      PMCID: PMC5752095          DOI: 10.1016/j.dib.2017.12.035

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications Table Value of the data Data showing changes in gene expression levels in response to neem extract exposure are valuable for estimating effects of the extract on fibroblasts and keratinocytes. The data presented in this article showing that neem extract up- or down-regulates the expression of genes involved in epidermal and dermal cells could be important for investigations in pharmacology and cosmetics. The present data can be referenced by investigations into chemicals and natural medicines for the epidermal and dermal tissues.

Data

This data article contains bar graphs showing gene expression levels in fibroblasts and keratinocytes in response to exposure to 0.01% and 0.001% neem plant (Azadirachta indica) extract, harvested in Negombo, Sri Lanka. For fibroblasts, the dataset includes expression profiles for genes encoding HAS1, HAS2, HYAL1, HYAL2, versican, aggrecan, CD44, COL1A1, COL3A1, COL7A1, MMP1, acid ceramidase, bFGF, FGF7, VEGF, IL-1α, cox2, TGF-β, and AQP3 (Fig. 1). For keratinocytes, the expression profiles are for genes encoding HAS1, HAS2, HYAL1, HYAL2, versican, aggrecan, CD44, IL-1α, cox2, TGF-β, AQP3, Laminin5, COL17A1, ITGA6, CERS3, ELOVL1, ELOVL4, FLG, TGM1, and KRT1 (Fig. 2). The data represent the mean±SE values from triplicate independent experiments (*P<0.05, **P<0.001 and ***P<0.001 vs. 0 time).
Fig. 1

Gene expression levels in fibroblast cells after exposure to neem extract. The mRNA expression levels were normalized to GAPDH expression, and the relative gene expression levels in the cells at 2, 4, 8, and 24 h after initiation of extract exposure were compared to the corresponding levels for unexposed cells, whose levels were defined as 1.0.

Fig. 2

Gene expression levels in keratinocyte cells after exposure to neem extract. The mRNA expression levels were normalized to GAPDH expression, and the relative gene expression levels in the cells at 2, 4, 8, and 24 h after initiation of extract exposure were compared to the corresponding levels for unexposed cells, whose levels were defined as 1.0.

Gene expression levels in fibroblast cells after exposure to neem extract. The mRNA expression levels were normalized to GAPDH expression, and the relative gene expression levels in the cells at 2, 4, 8, and 24 h after initiation of extract exposure were compared to the corresponding levels for unexposed cells, whose levels were defined as 1.0. Gene expression levels in keratinocyte cells after exposure to neem extract. The mRNA expression levels were normalized to GAPDH expression, and the relative gene expression levels in the cells at 2, 4, 8, and 24 h after initiation of extract exposure were compared to the corresponding levels for unexposed cells, whose levels were defined as 1.0.

Experimental design, materials and methods

Materials

Neem plants (Azadirachta indica), local name “Kohomba” were harvested from a medicinal garden at the Institute of Traditional Plants in Sri Lanka (Negombo, Sri Lanka). The heat-treated plant leaves were extracted with 1,3-butylene glycol.

Fibroblast cell culture

Normal human skin fibroblasts, RIKEN original (NB1RGB), were provided by the RIKEN BRC through the National Bio-Resource Project of the MEXT, Japan. The cells were cultured in Minimum Essential Media-alpha (MEMα; Life Technologies Corp.) supplemented with 10% fetal bovine serum (FBS; Biowest) and 0.2% NaHCO3. Cells were grown at 37 °C in a humidified incubator containing 5% CO2, according to the manufacturer's instructions. For all of the experiments, human fibroblasts were seeded into a 60 mm dish (5×104 cells/dish) and incubated for 8 h with culture media containing 10% FBS. The cells were subsequently subjected to serum starvation for 16 h with serum-free MEMα.

Keratinocyte cell culture

Normal human epidermal keratinocytes (HEKn; GIBCO) were isolated from neonatal foreskin. The cells were cultured in Medium 154 (Invitrogen) supplemented with human keratinocyte growth factor (HKGS; Invitrogen), according to the manufacturer's instructions. Cells were grown at 37 °C in a humidified incubator containing 5% CO2. For all of the experiments, human keratinocytes were seeded into a collagen-coated 60 mm dish (5×104 cells/dish), and incubated for 8 h with culture media containing HKGS. The cells were next subjected to HKGS starvation for 16 h with Medium 154.

Exposure of the cells to plant extract, RNA isolation and quantitative real-time PCR

The cells were seeded into a 60 mm dish (5×104 cells/dish). Cells were exposed to 0.01% or 0.001% of plant extract, for 24 h at 37 °C. The cells were collected at 2, 4, 8, and 24 h after initiation of the exposure. Total RNA was extracted from the cells by using the TRI reagent (Merck). This RNA extract was used as a template for subsequent cDNA synthesis with oligo dT primers (Table 1), using the Primescript RT reagent Kit (Takara bio inc.). mRNA levels were quantified using a LightCycler 96 system (Roche) and SYBR Premix Ex Taq II (Takara Bio Inc.). The data were analyzed using the delta cycle threshold method, and calculated based on the Cq values, and the expression of each gene was normalized to GAPDH. All values are reported as means±standard error, as previously described [18].
Table 1

Nucleotide sequences of primers used in this study.

PrimersSequencesDirectionReferences
Quantitative real time-PCR
HAS1
HAS1-F3′-CGCTAACTACGTCCCTCTGC-5′Sense[1]
HAS1-R3′-CCAGTACAGCGTCAACATGG-5′Anti-sense
HAS2
HAS2-F3′-GCCTCATCTGTGGAGATGGT-5′Sense[2]
HAS2-R3′-ATGCACTGAACACACCCAAA-5′Anti-sense
HYAL1
HYAL1-F3′-CCAAGGAATCATGTCAGGCCATCAA-5′Sense[3]
HYAL1-R3′-CCCACTGGTCACGTTCAGG-5′Anti-sense
HYAL2
HYAL2-F3′-GGCTTAGTGAGATGGACCTC-5′Sense[3]
HYAL2-R3′-CCGTGTCAGGTAATCTTTGAG-5′Anti-sense
versican
VCAN 3-F3′-TGAGAACCCTGTATCGTTTTGAGA-5′Sense[4]
VCAN 3-R3′-CGTTAAGGCACGGGTTCATT-5′Anti-sense
aggrecan
ACAN-F3′-TCGAGGACAGCGAGGCC-5′Sense[5]
ACAN-R3′-TCGAGGGTGTAGCGTGTAGAGA-5′Anti-sense
CD44
CD44-F3′-GCTATTGAAAGCCTTGCAGAG-5′Sense[6]
CD44-R3′-CGCAGATCGATTTGAATATAACC-5′Anti-sense
COL1A1
COL1A1-F3′-CACCAATCACCTGCGGTACAGAA-5′Sense[7]
COL1A1-R3′-CAGATCACGTCATCGCACAAC-5′Anti-sense
COL3A1
COL3A1-F3′-CCCACTATTATTTTGGCACAACAG-5′Sense[8]
COL3A1-R3′-AACGGATCCTGAGTCACAGACA-5′Anti-sense
COL7A1
COL7A1-F3′-CTCAGCAGCTATCACCTGGAC-5′Sense[9]
COL7A1-R3′-TGTCCACCACACGTAGTTCAA-5′Anti-sense
MMP1
MMP1-F3′-TGTGGTGTCTCACAGCTTCC-5′Sense[3]
MMP1-R3′-CTTGCCTCCCATCATTCTTC-5′Anti-sense
acid ceramidase
acid ceramidase-F3′-CGTACAGAGGTGCAGTTCCA-5′Senseoriginal
acid ceramidase-R3′-GTAGGCCAGGCAATTTTTCA-5′Anti-sense
bFGF
bFGF-F3′-AGAGCGACCCTCACATCAAG-5′Sense[10]
bFGF-R3′-ACTGCCCAGTTCGTTTCAGT-5′Anti-sense
FGF7
FGF7-F3′-CATGAACACCCGGAGCACTAC-5′Sense[11]
FGF7-R3′-CACTGTGTTCGACAGAAGAGTCTTC-5′Anti-sense
VEGF
VEGF-F3′-GGAGAGATGAGCTTCCTACAG-5′Sense[12]
VEGF-R3′-TCACCGCCTTGGCTTGTCACA-5′Anti-sense
IL-1α
IL-1α-F3′-TGGCTCATTTTCCCTCAAAAGTTG-5′Sense[13]
IL-1α-R3′-AGAAATCGTGAAATCCGAAGTCAAG-5′Anti-sense
cox2
COX2-F3′-TGAGCATCTACGGTTTGCTG-5′Sense[14]
COX2-R3′-TGCTTGTCTGGAACAACTGC-5′Anti-sense
TGF-β
TGF-β-F3′-GCCCTGGACACCAACTATTG-5′Sense[15]
TGF-β-R3′-GTCCAGGCTCCAAATGTAGG-5′Anti-sense
AQP3
AQP3-F3′-GTCACTCTGGGCATCCTCAT-5′Sense[16]
AQP3-R3′-TATTCCAGCACCCAAGAAGG-5′Anti-sense
Laminin5
Laminin5-F3’-GCCTGGAGTACAACGAGGTC-5′Senseoriginal
Laminin5-R3’-AGTTGGCAAACTTGATGAGGAC-5′Anti-sense
COL17A1
COL17A1-F3′-CGAGACTTTCGACTACTCAGAGC-5′Senseoriginal
COL17A1-R3′-GAGGACGAGAACAAGCTGAC-5′Anti-sense
ITGA6
ITGA6-F3′-TCTCGCTGGGATCTTGATGC-5′Senseoriginal
ITGA6-R3′-CCTAGAGCGTTTAAAGAATCCAC-5′Anti-sense
CERS3
CERS3-F3′-TCTCTGCTGACTGCATCTATTG-5′Senseoriginal
CERS3-R3′-GAAGCCAGAATCTTTCCAACC-5′Anti-sense
ELOVL1
ELOVL1-F3′-GGACTTCTCTCTGGCCCTG-5′Senseoriginal
ELOVL1-R3′-CGTGCTTCATCACCTCTTGG-5′Anti-sense
ELOVL4
ELOVL4-F3′-GATTCTCCCCCTGTTCACATC-5′Senseoriginal
ELOVL4-R3′-TTCAGACCGAAGAATGAGTGAC-5′Anti-sense
FLG
FLG-F3′-GAAGGTGAAGGTCGGAGTC-5′Senseoriginal
FLG-R3′-GAAGATGGTGATGGGATTTC-5′Anti-sense
TGM1
TGM1-F3′-CGAAGGCTCTGGGTTACAGA-5′Senseoriginal
TGM1-R3′-TGTCACTGTTTCATTGCCTCC-5′Anti-sense
KRT1
KRT1-F3′-TGAGCTGAATCGTGTGATCC-5′Senseoriginal
KRT1-R3′-CCAGGTCATTCAGCTTGTTC-5′Anti-sense
GAPDH
GAPDH-F3′-GAAGGTGAAGGTCGGAGTC-5′Sense[17]
GAPDH-R3′- GAAGATGGTGATGGGATTTC-5′Anti-sense
Nucleotide sequences of primers used in this study.
Subject areaBiology
More specific subject areaCell biology
Type of dataGraph
How data was acquiredQuantitative RT-PCR (LightCycler 96 system, Roche)
Data formatAnalyzed
Experimental factorsIsolation of total cellular RNA, cDNA amplification, PCR analysis
Experimental featuresAnalysis of gene expression by quantitative RT-PCR
Data source locationNegombo, Sri Lanka
Data accessibilityData are available within this article
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