Preisanfragen ApexBio

Transcriptome sequencing is high-throughput sequencing of total RNA produced by a specific species or cell in a specific functional state, but now we mainly use it to detect mRNA.

APExBIO’s services not only detect differences in gene expression levels, but also provide structural analysis. Our work aims to help you discover unknown transcripts and rare transcripts, and accurately identify differentially variable splice sites, gene fusions, SNPs and InDel mutations, etc.  The results can be applied to research into growth and development regulation mechanisms and the pathogenesis of important human diseases.

 Metabolome and transcriptome sequence analysis reveals anthocyanin metabolism in pink flowers of anthocyanin-rich tea (Camellia sinensis)

Almost all flowers of the tea plant (Camellia sinensis) are white, which has led to few researchers paying attention to the accumulation of anthocyanins and color changes in tea flowers. A new purple leaf variety, Baitang Purple Tea (BTP), has been discovered in the Baitang Mountains of Guangdong, whose flowers are naturally pink, and may provide an opportunity to understand anthocyanin metabolic networks and the evolution of flower color in tea flowers. In the present study, twelve anthocyanin components were identified in the pink tea flowers, namely cyanidin-O-syringic acid, petunidin-3-O-glucoside, pelargonidin-3-O-beta-D-glucoside, which is the first time that these Compounds found were found in tea flowers. The presence of these anthocyanins seems most likely to be the reason for the pink coloring of the buds. Twenty-one differentially expressed genes (DEGs) involved in anthocyanin signaling were identified using functional enrichment of the KEGG signaling pathway,Specifically, during the period of peak anthocyanin synthesis, 17 structural genes were upregulated and only four structural genes were downregulated. Ultimately, eight critical genes were identified using weighted gene coexpression network analysis (WGCNA), which were found to have a direct impact on the biosynthesis and accumulation of three flavonoid compounds, namely cyanidin-3-O-glucoside, petunidin-3-O-glucoside and epicatechin gallate. These results provide useful information on the molecular mechanisms of coloration in rare pink tea flowers of anthocyanin-rich tea, enriching the gene resource and guiding further research on anthocyanin enrichment in violet tea.

The OPLS-DA results showed that the main biological components were significantly altered along with changing developmental stages.An OPLS-DA plot showing the significance of the change in metabolic profile from one developmental stage to the next. The composition between the first stage and the second stage (BTP1 vs. BTP2), the second stage and the third stage (BTP2 vs. BTP3), the third stage and the fourth stage (BTP3 vs. BTP4) and the fourth stage and the fifth stage (BTP4 vs. BTP5) each clustered together in the OPLS score plots. The R2Y of this OPLS-DA model was 1.0, 1.0, 0.999 and 1.0 in metabolomic differences of different flower development, respectively. While the model’s Q2Y was 0.992, 0.959, 0.938 and 0.975 (from BTP1 to BTP5) respectively. These data show highly significant differences in metabolite profiles based on developmental stage.

To reveal the gene expression levels involved in anthocyanins and flavonoid pathways, anthocyanin-associated modules were obtained from WGCNA. A module can be viewed as a cluster of closely related genes. The connectivity of two genes is a combination of the proximity between them and the strength of the connections they share with other “third party” genes. This measure of proximity used by WGCNA is known as the topological overlap measure (TOM). Using TOM, WGCNA groups data into dendrogram “tree” type. Individual branches of the tree represent clusters of interconnected genes, which are then defined as “modules”. Each module is measured for co-expression with the trait phenotype, in this case flavonoids, to see

The transcriptome response of cardiac and skeletal muscle to heat stress in low- and high-altitude-adapted Kenyan chicken ecotypes reveal differences in thermal tolerance and stress response

Heat stress (HS) has a negative impact on chicken performance. Agricultural expansion will take place in regions with high ambient temperatures where fast-growing commercial chickens are vulnerable. Indigenous chickens of such regions might have higher heat tolerance due to exposure to environmental issues over generations. In this study, two native chicken ecotypes,from the hot and humid Mombasa region (lowlands) and the colder Naivasha region (highlands) were used to assess the effects of acute (5 h, 35 °C) and chronic (3 days at 35 °C for 8 h/day) HS to be examined in heart and skeletal muscle by RNA sequencing. Rectal temperature rise and the number of differentially expressed genes (DEGs) [false discovery rate (FDR) < 0.05] were twice as high in the acute stage in both ecotypes as in the chronic stage, suggesting that cycling exposure to HS contributes may lead to adjustment. A tissue- and stage-specific difference in response to HS was observed, with peroxisome proliferator-activated receptor (PPAR) and mitogen-activated protein kinase (MAPK) signaling pathways in the heart and heart, respectively. Skeletal muscle and p53 enriched in both tissues only in the acute stage. The acute and chronic stage DEGs were integrated by a region-specific gene coexpression network (GCN), and genes with the highest number of connections (hub genes) were identified. The lowland network hub genes were CCNB2, Crb2, CHST9, SESN1, and NR4A3, while the highland network hub genes were COMMD4, TTC32, H1F0, ACYP1, and RPS28. Pathway analysis of genes in the GCN showed that p53 and PPAR signaling pathways were enriched in both Low and Highland networks, while MAPK signaling and protein processing in the endoplasmic reticulum were only enriched in the gene network of Highland chickens .

This shows that the ecotypes activated or repressed different genes, to dissipate accumulated heat, reduce heat-induced apoptosis, and promote DNA damage repair. indicating the differences in thermal tolerance and HS response mechanisms between the ecotypes. This study provides information on the HS response of chickens adapted to two different agroclimatic environments and advances our understanding of the mechanisms of the HS response and the impact of adaptation in controlling HS.

Rectal temperature rise during HS treatment and sample relationship derived from principal component analysis. (A) Box plot showing increase in rectal temperature due to HS treatment. AHL, acute highland; CHL, chronic highland; ALL, acute lowland; CLL, chronic lowland. (B) Principal component analysis showing that the maximum variation is due to differences between ecotypes. Only a small percentage of the variation is due to the HS effect.

PRICE DROP

110-012 GeneOn 4 x 1000 µl 133 EUR

PRICE DROP

110-012L GeneOn 5x 4 x 1000 µl 518 EUR

PRICE DROP

110-012XL GeneOn 10x 4 x 1000 µl 939 EUR

TARGATT ? Transgenic Kit (5 microinjections) Academic Price *Plasmid sold separately

AST-1003 Applied StemCell 1 Kit (5 microinjections) 576.5 EUR

TARGATT ? Transgenic Kit (2 microinjections) Academic Price *Plasmid sold separately

AST-1004 Applied StemCell 1 Kit (2 microinjections) 323.38 EUR

iPSC (iPSC from Blood Cells; Male, Master Lines for Neural Differentiation) *Academic Price

ASE-9109 Applied StemCell 1 vial (1 x 10^6) 1568.75 EUR

iPSC (iPSC from Blood Cells; Feale, Master Lines for Neural Differentiation) *Academic Price

ASE-9110 Applied StemCell 1 vial (1 x 10^6) 1568.75 EUR

Custom Peptide Synthesis (crude and desalted; mg-kg size, price based upon peptide size: 2-100 aa)

PEP-C Alpha Diagnostics 1 Ask for price

Custom Peptide Conjugation to KLH/BSA/Ovalbumin or agarose (mg-100 mg size, price based upon servicesa)

CONJ-1 Alpha Diagnostics 1 Ask for price

Custom Peptide Synthesis (>90%; mass spec, hplc (mg-kg size, price based upon peptide size: 2-100 aa)

PEP-90 Alpha Diagnostics 1 Ask for price

Custom Peptide Synthesis (>95; mass spec, hplc (mg-kg size, price based upon peptide size: 2-100 aa)

PEP-95 Alpha Diagnostics 1 Ask for price

Custom Peptide Synthesis (>70% antigen grade; mass spec, hplc (mg-kg size, price based upon peptide size: 2-100 aa)

PEP-70 Alpha Diagnostics 1 Ask for price

Phos-tag Biotin BTL-104

F4001-10 ApexBio 10 mg 630 EUR

Phos-tag Biotin BTL-104

F4001-5 ApexBio 5 mg 456 EUR

Phos-tag Biotin BTL-104

F4001-50 ApexBio 50 mg 1500 EUR

Phos-tag Acrylamide

F4002-10 ApexBio 10 mg 630 EUR

Phos-tag Acrylamide

F4002-5 ApexBio 5 mg 456 EUR

Phos-tag Acrylamide

F4002-50 ApexBio 50 mg 1500 EUR

Phos-tag Biotin BTL-105

F4004-10 ApexBio 10 mg 630 EUR

Phos-tag Biotin BTL-105

F4004-5 ApexBio 5 mg 456 EUR

Phos-tag Biotin BTL-105

F4004-50 ApexBio 50 mg 1500 EUR

4-Quinolone-3-Carboxamide Furan CB2 Agonist

C3511-10 ApexBio 10 mg 440 EUR

4-Quinolone-3-Carboxamide Furan CB2 Agonist

C3511-25 ApexBio 25 mg 902 EUR

4-Quinolone-3-Carboxamide Furan CB2 Agonist

C3511-5 ApexBio 5 mg 270 EUR

KT182

C3516-10 ApexBio 10 mg 241 EUR

KT182

C3516-5 ApexBio 5 mg 154 EUR

KT203

C3518-10 ApexBio 10 mg 241 EUR

KT203

C3518-5 ApexBio 5 mg 154 EUR

Arylquin 1

C3520-10 ApexBio 10 mg 258 EUR

Arylquin 1

C3520-5 ApexBio 5 mg 171 EUR

Hispidin

C3523-1 ApexBio 1 mg 144 EUR

Hispidin

C3523-5 ApexBio 5 mg 428 EUR

Lagosin

C3526-1 ApexBio 1 mg 447 EUR

Lagosin

C3526-5 ApexBio 5 mg 1439 EUR

Citrinin

C3528-10 ApexBio 10 mg 264 EUR

Citrinin

C3528-5 ApexBio 5 mg 167 EUR

Nisin A

C3531-10000 ApexBio 10 g 293 EUR

Nisin A

C3531-5000 ApexBio 5 g 206 EUR

Piericidin A

C3535-1 ApexBio 1 mg 224 EUR

Piericidin A

C3535-5 ApexBio 5 mg 746 EUR

Losartan Carboxaldehyde

C3539-1 ApexBio 1 mg 112 EUR

Losartan Carboxaldehyde

C3539-10 ApexBio 10 mg 332 EUR

Losartan Carboxaldehyde

C3539-5 ApexBio 5 mg 222 EUR

Cefamandole (sodium salt)

C3541-100 ApexBio 100 mg 244 EUR

Cefamandole (sodium salt)

C3541-50 ApexBio 50 mg 152 EUR

Cefamandole (sodium salt)

C3541-500 ApexBio 500 mg 592 EUR

BMS 687453

C3544-10 ApexBio 10 mg 328 EUR

BMS 687453

C3544-25 ApexBio 25 mg 659 EUR

BMS 687453

C3544-5 ApexBio 5 mg 206 EUR

HE-3235

C3546-10 ApexBio 10 mg 328 EUR

HE-3235

C3546-25 ApexBio 25 mg 659 EUR

HE-3235

C3546-5 ApexBio 5 mg 206 EUR

Oxipurinol

C3548-1000 ApexBio 1 g 134 EUR

Oxipurinol

C3548-500 ApexBio 500 mg 109 EUR

Oxipurinol

C3548-5000 ApexBio 5 g 355 EUR

Fructose 1,6-bisphosphatase-1 Inhibitor

C3549-10 ApexBio 10 mg 244 EUR

Fructose 1,6-bisphosphatase-1 Inhibitor

C3549-5 ApexBio 5 mg 171 EUR

Fructose 1,6-bisphosphatase-1 Inhibitor

C3549-50 ApexBio 50 mg 757 EUR

StemRegenin 1 (hydrochloride)

C3551-1 ApexBio 1 mg 118 EUR

StemRegenin 1 (hydrochloride)

C3551-10 ApexBio 10 mg 595 EUR

StemRegenin 1 (hydrochloride)

C3551-5 ApexBio 5 mg 357 EUR

4'-bromo-Resveratrol

C3552-10 ApexBio 10 mg 224 EUR

4'-bromo-Resveratrol

C3552-5 ApexBio 5 mg 145 EUR

2-Iminobiotin

C3553-100 ApexBio 100 mg 206 EUR

2-Iminobiotin

C3553-50 ApexBio 50 mg 137 EUR

4-Methylbenzylidene camphor

C3558-1000 ApexBio 1 g 174 EUR

4-Methylbenzylidene camphor

C3558-10000 ApexBio 10 g 1050 EUR

4-Methylbenzylidene camphor

C3558-5.1 ApexBio 10 mM (in 1mL DMSO) 113 EUR

4-Methylbenzylidene camphor

C3558-5000 ApexBio 5 g 612 EUR

NF-?B Activation Inhibitor III

C3559-25 ApexBio 25 mg 457 EUR

NF-?B Activation Inhibitor III

C3559-5 ApexBio 5 mg 145 EUR

SKF 525A (hydrochloride)

C3560-100 ApexBio 100 mg 112 EUR

SKF 525A (hydrochloride)

C3560-1000 ApexBio 1 g 363 EUR

SKF 525A (hydrochloride)

C3560-250 ApexBio 250 mg 151 EUR

SKF 525A (hydrochloride)

C3560-500 ApexBio 500 mg 238 EUR

SB 290157 (trifluoroacetate salt)

C3563-10 ApexBio 10 mg 206 EUR

SB 290157 (trifluoroacetate salt)

C3563-25 ApexBio 25 mg 379 EUR

SB 290157 (trifluoroacetate salt)

C3563-5 ApexBio 5 mg 147 EUR

2,3-Butanedione-2-monoxime

C3564-100000 ApexBio 100 g 113 EUR

2,3-Butanedione-2-monoxime

C3564-5.1 ApexBio 10 mM (in 1mL DMSO) 113 EUR

(S)-SLV 319

C3568-1 ApexBio 1 mg 113 EUR

(S)-SLV 319

C3568-10 ApexBio 10 mg 561 EUR

(S)-SLV 319

C3568-5 ApexBio 5 mg 338 EUR

SW203668

C3569-10 ApexBio 10 mg 276 EUR

SW203668

C3569-5 ApexBio 5 mg 180 EUR

JD5037

C3572-10 ApexBio 10 mg 340 EUR

JD5037

C3572-100 ApexBio 100 mg 1298 EUR

JD5037

C3572-5 ApexBio 5 mg 212 EUR

JD5037

C3572-50 ApexBio 50 mg 937 EUR

4-Quinolone-3-Carboxamide CB2 Ligand

C3573-10 ApexBio 10 mg 361 EUR

4-Quinolone-3-Carboxamide CB2 Ligand

C3573-25 ApexBio 25 mg 731 EUR

4-Quinolone-3-Carboxamide CB2 Ligand

C3573-5 ApexBio 5 mg 225 EUR

ARN14974

C3577-10 ApexBio 10 mg 328 EUR

ARN14974

C3577-25 ApexBio 25 mg 659 EUR

ARN14974

C3577-5 ApexBio 5 mg 206 EUR

ZINC12613047

C3580-1 ApexBio 1 mg 224 EUR

ZINC12613047

C3580-5 ApexBio 5 mg 850 EUR

ML-336

C3581-10 ApexBio 10 mg 429 EUR

ML-336

C3581-25 ApexBio 25 mg 933 EUR

ML-336

C3581-5 ApexBio 5 mg 295 EUR

Gene Coexpression Network (GCN) and pathway enrichment analysis integrated for the skeletal and cardiac muscle DEGs. (A) Degree sorted network of DEGs in at least one contrast in the highland chickens. The nodes are genes and the edges are based on correlation coefficients. Only partially correlated genes | r | of ≥0.99 were included in the network. The node color denotes the tissue type where gene expression was highest, while the node border denotes the stage where gene expression was highest.

(B) KEGG pathway networks in which all genes in the upland GCN network have been enriched. (c) Degree sorted network of the DEG in at least one contrast in the lowland chickens. The nodes are genes and the edges are based on correlation coefficients. Only partially correlated genes | r | from ≥0, 99 were added to the network. The node color denotes the tissue type where gene expression was highest, while the node border denotes the stage where gene expression was highest. (D) KEGG pathway networks in which all genes in the lowland GCN network have been enriched.

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