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Miltenyi Biotec
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Jackson Laboratory
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Cyagen Biosciences
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OriGene
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Thermo Fisher
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Elabscience Biotechnology
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OriGene
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OriGene
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Santa Cruz Biotechnology
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Proteintech
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Thermo Fisher
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Thermo Fisher
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Image Search Results
Journal: iScience
Article Title: Immunometabolic adaptation in monocytes underpins functional changes during pregnancy
doi: 10.1016/j.isci.2024.109779
Figure Lengend Snippet:
Article Snippet:
Techniques: Recombinant, Adhesive, Sequencing, Modification, DC Protein Assay, Staining, Imaging, Enzyme-linked Immunosorbent Assay, Bicinchoninic Acid Protein Assay, Gene Expression, Software, Saline
Journal: Journal of Clinical Investigation
Article Title: Long noncoding RNA Bmncr regulates mesenchymal stem cell fate during skeletal aging
doi: 10.1172/jci99044
Figure Lengend Snippet: Figure 3. Bmncr-KO mice showed altered LepR+ BMSC location in bone marrow. (A) Representative immunofluorescence staining images of leptin receptor (LepR, red) in femurs from WT and Bmncr-KO mice. Nuclei, DAPI (blue). Scale bar: 100 μM. (B–C) Quantitative analysis of the num- ber of LepR+ BMSCs in metaphysis and diaphysis regions of femurs (n = 5 per group). (D–E) FACS anal- ysis dot plot (D) and quantitation of LepR+ BMSCs (E) (n = 5 per group). Data are mean ± SD. *P < 0.05 (Student’s t test).
Article Snippet: We obtained
Techniques: Immunofluorescence, Staining, Quantitation Assay
Journal: Journal of Clinical Investigation
Article Title: Long noncoding RNA Bmncr regulates mesenchymal stem cell fate during skeletal aging
doi: 10.1172/jci99044
Figure Lengend Snippet: Figure 6. Transgenic overexpression of bmncr alleviated bone loss and marrow fat accumulation partially through Fmod. (A) BMD in femurs from 6-month- old WT and Bmncr-LepR Tg mice, Fmod-KO mice, and Bmncr-LepR Tg Fmod-KO mice were measured by dual-energy x-ray absorptiometry scan. (B–C) Representative micro-CT images and quantitative micro-CT analysis of trabecular bone mass in femurs (n = 10 per group). (D–E) Calcein double-labeling–based quantifica- tion of bone formation rate per bone surface (BFR/BS) in femurs (n = 5 per group). White arrows in D show the distance between the 2 calcein labeling lines. Scale bar: 50 μM. Representative images of osteocalcin immunohistochemical staining (F) and quantification of number of osteoblasts (G). Red arrows in F represent osteocalcin-positive–staining cells. Scale bar: 100 μM. (H–J) OsO4 staining of decalcified femurs by micro-CT analysis and number and volume of adipocytes in distal femurs. Data are mean ± SD. n = 5 per group. *P < 0.05 versus WT group; #P < 0.05 versus Bmncr-LepR Tg group (1-way ANOVA).
Article Snippet: We obtained
Techniques: Transgenic Assay, Over Expression, Micro-CT, Labeling, Immunohistochemical staining, Staining
Journal: Biomolecules & Therapeutics
Article Title: Exploring LEPR -Linked Metabolic Diversity through Gut Microbiome-Metabolome Network Analysis in Non-Obese Adults
doi: 10.4062/biomolther.2025.161
Figure Lengend Snippet: Volcano plots of serum metabolites according to LEPR genotype. Significant differences in circulating serum metabolite levels were identified using the Mann-Whitney U test. The x-axis represents the log2 fold change (FC), and the y-axis represents the -log10 p-value. Vertical lines indicate the significance threshold of FC +- 1.2, and the horizontal line indicates a p -value of 0.05. (A) Comparison of serum metabolite profiles between rs1173100 GA and AA genotypes (B) Comparison between rs1173100 GG and AA genotypes (C) Comparison between rs1137101 GA and GG genotypes.
Article Snippet: The rs1173100 and rs1137101 SNPs were genotyped using the TaqMan SNP Genotyping Assay (
Techniques: MANN-WHITNEY, Comparison
Journal: Biomolecules & Therapeutics
Article Title: Exploring LEPR -Linked Metabolic Diversity through Gut Microbiome-Metabolome Network Analysis in Non-Obese Adults
doi: 10.4062/biomolther.2025.161
Figure Lengend Snippet: Schematic summary of LEPR genotype-linked metabolic diversity and microbiome-metabolome interactions. Genetic variations in LEPR (rs1137101, rs1173100) are associated with distinct systemic metabolic profiles, characterized by alterations in dicarboxylic acids (pimelic acid, malonic acid) and 2,4-dihydroxybutyric acid. Network analysis highlights indole-3-acetate and cholesterol as central hubs bridging specific gut microbial taxa (e.g., Firmicutes, Actinobacteria) with host metabolic phenotypes. These interactions may be mediated via the gut-brain-liver axis and serve as ‘sentinel biomarkers’ for sub-clinical metabolic risk, offering a basis for precision nutrition strategies (e.g., tryptophan modulation) in healthy individuals.
Article Snippet: The rs1173100 and rs1137101 SNPs were genotyped using the TaqMan SNP Genotyping Assay (
Techniques: