Gold Nanorod, Azide functional, SPR peak 750
- Known as:
- Gold Nanorod, Azide functional, SPR peak 750
- Catalog number:
- GR750-AZ-1
- Product Quantity:
- 1 mL
- Category:
- -
- Supplier:
- Nanocs
- Gene target:
- Gold Nanorod Azide functional SPR peak 750
Related genes to: Gold Nanorod, Azide functional, SPR peak 750
- Gene:
- C8orf37-AS1 NIH gene
- Name:
- C8orf37 antisense RNA 1
- Previous symbol:
- -
- Synonyms:
- tospeak
- Chromosome:
- 8q22.1
- Locus Type:
- RNA, long non-coding
- Date approved:
- 2014-04-29
- Date modifiied:
- 2014-04-29
Related products to: Gold Nanorod, Azide functional, SPR peak 750
#10 Rubber Bands, 1Lb Box Pale Crepe Gold#10 Rubber Bands, 1Lb Box Pale Crepe Gold#10 Rubber Bands, 1Lb Box Pale Crepe Gold#30 Rubber Bands, 1Lb Box Pale Crepe Gold#30 Rubber Bands, 1Lb Box Pale Crepe Gold#30 Rubber Bands, 1Lb Box Pale Crepe Gold#33 Rubber Bands, 1 Lb Box Pale Crepe Gold#33 Rubber Bands, 1 Lb Box Pale Crepe Gold#33 Rubber Bands, 1 Lb Box Pale Crepe Gold(E/Z)-N,N-Didesmethyl-4-hydroxy Tamoxifen 2’-Azide CAS: 1331643-32-3 Formula: C24H23N3O2(E_Z)-N,N-Didesmethyl-4-hydroxy Tamoxifen 2’-Azide C24H23N3O2 CAS: 1331643-32-31 X PBS with 0.05% Sodium Azide,1 X PBS with 0.05% Sodium Azide,1 X PBS with 0.05% Sodium Azide,1 X PBS with 0.05% Sodium Azide,, Western Blot Analysis Related articles to: Gold Nanorod, Azide functional, SPR peak 750
- Recent genome-wide association studies have identified various genetic variants associated with hematological traits. Although it is possible that quantitative data of hematological traits are varied among the years examined, conventional genome-wide association studies have been conducted in a cross-sectional manner that measures traits at a single point in time. To address this issue, we have traced blood profiles in 4,884 Japanese individuals who underwent annual health check-ups for several years. In the present study, longitudinal exome-wide association studies were conducted to identify genetic variants related to 13 hematological phenotypes. The generalized estimating equation model showed that a total of 67 single nucleotide polymorphisms (SNPs) were significantly [false discovery rate (FDR) of <0.01] associated with hematological phenotypes. Of the 67 SNPs, nine SNPs were identified as novel hematological markers: rs4686683 of SENP2 for red blood cell count (FDR = 0.008, P = 5.5 × 10); rs3917688 of SELP for mean corpuscular volume (FDR = 0.005, P = 2.4 × 10); rs3133745 of C8orf37-AS1 for white blood cell count (FDR = 0.003, P = 1.3 × 10); rs13121954 at 4q31.2 for basophil count (FDR = 0.007, P = 3.1 × 10); rs7584099 at 2q22.3 (FDR = 2.6 × 10, P = 8.8 × 10), rs1579219 of HCG17 (FDR = 0.003, P = 2.0 × 10), and rs10757049 of DENND4C (FDR = 0.008, P = 5.6 × 10) for eosinophil count; rs12338 of CTSB for neutrophil count (FDR = 0.007, P = 2.9 × 10); and rs395967 of OSMR-AS1 for monocyte count (FDR = 0.008, P = 3.2 × 10). - Source: PubMed
Publication date: 2018/06/29
Yasukochi YoshikiSakuma JunTakeuchi IchiroKato KimihikoOguri MitsutoshiFujimaki TetsuoHoribe HidekiYamada Yoshiji