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kgm-2 bulletkit  (Lonza)


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    Structured Review

    Lonza kgm-2 bulletkit
    Kgm 2 Bulletkit, supplied by Lonza, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/kgm-2+bulletkit/kgm+gold+bullet+kit/pm40541055-51-25-30
    Average 90 stars, based on 1 article reviews
    kgm-2 bulletkit - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    Derivative Assay:

    Article Title: Systematic analysis of chromatin state dynamics in nine human cell types
    Article Snippet: NHEK normal human epidermal keratinocytes isolated from skin (Lonza CC-2501, lot# 4F1155J, passage 1) were grown in keratinocyte basal medium 2 (KGM-2 BulletKit, Lonza) supplemented with BPE, hEGF, hydrocortisone, GA-1000, transferrin, epinephrine and insulin.

    Article Title: PRPF19 modulates morphology and growth behavior in a cell culture model of human skin
    Article Snippet: The gel was equilibrated for at least 1 h at 37°C with KGM-2 supplemented with KGM-2 BulletKit (Lonza, Basel, CH), followed by the seeding of 1.5 × 10 6 keratinocytes on the top of each dermal equivalent.

    Article Title: Entry, Intracellular Survival, and Multinucleated-Giant-Cell-Forming Activity of Burkholderia pseudomallei in Human Primary Phagocytic and Nonphagocytic Cells
    Article Snippet: KC , Keratinocyte/epidermal foreskin (healthy volunteers) , KGM Gold, KGM-2 BulletKit (Lonza) , B. pseudomallei /50/21 , 2/3 , 50–200.

    Article Title: Epigenetic control of IL-23 expression in keratinocytes is important for chronic skin inflammation.
    Article Snippet: Normal human primary keratinocytes were cultured in Lonza KGM-2 BulletKit (CC-3107, Lonza, Swiss).

    Article Title: Replication of human enteric viruses from wastewater in saliva cell lines.
    Article Snippet: • Saliva cell lines support replication of enteric viruses including Norovirus GI and GII among others.. • Saliva cell lines replicated mulitple wastewater-derived viruses.. • Coinfections in cell lines reduced viral replication efficiency in few viruses.



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    Spatial transcriptomics analysis reveals the mechanobiological dialogues between epithelial cells and fibroblasts during a precancerous condition in the human tongue. A) The diagram illustrates the workflow of the spatial transcriptomics analysis conducted on a cryosection of a leukoplakia lesion in the human tongue. B) The Visium array spots on the tissue section are color‐coded based on the number of normalized unique molecular identifiers (UMIs, left) or total genes (right) in the dataset. C) The Visium array spots are colored based on the clustering assignments generated from the dataset. A total of 11 clusters were identified, including E(K)1 and E(K2) (epithelial <t>keratinocyte</t> clusters 1 and 2, respectively), E(D)1 and E(D)2 (differentiating epithelial cell clusters 1 and 2), E(B) (basal epithelial cell cluster), F1 and F2 (fibroblast clusters 1 and 2), M1 and M2 (muscle cell clusters 1 and 2), and O1 and O2 (unspecified, others 1 and 2). D) The spatial transcriptomics spots are visualized using a UMAP embedding, with colors representing the cluster assignments. E) The average standardized expression of annotated genes associated with gene ontology (GO) terms exhibiting spatially coherent expression patterns within each cluster is displayed. The expression levels are depicted using a color gradient, ranging from low (blue) to high (red). F–H) Cell‐cell communication analysis reveals significant collagen and TGF‐β signaling between epithelial cells and fibroblasts in the dataset. F) The circle plot illustrates the communication score between interacting cell clusters, with line thickness indicating the strength of communication. G) The heatmap depicts the sender‐receiver interaction matrix, where rows and columns represent sources and targets, respectively. The bar plots on the right and top represent the total outgoing and incoming interaction scores, respectively. H) The relative contribution of ligand (L)–receptor (R) pairs involved in the communication is shown. SDC, syndecan; ITGA, integrin subunit alpha; ITGB, integrin subunit beta.
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    Spatial transcriptomics analysis reveals the mechanobiological dialogues between epithelial cells and fibroblasts during a precancerous condition in the human tongue. A) The diagram illustrates the workflow of the spatial transcriptomics analysis conducted on a cryosection of a leukoplakia lesion in the human tongue. B) The Visium array spots on the tissue section are color‐coded based on the number of normalized unique molecular identifiers (UMIs, left) or total genes (right) in the dataset. C) The Visium array spots are colored based on the clustering assignments generated from the dataset. A total of 11 clusters were identified, including E(K)1 and E(K2) (epithelial <t>keratinocyte</t> clusters 1 and 2, respectively), E(D)1 and E(D)2 (differentiating epithelial cell clusters 1 and 2), E(B) (basal epithelial cell cluster), F1 and F2 (fibroblast clusters 1 and 2), M1 and M2 (muscle cell clusters 1 and 2), and O1 and O2 (unspecified, others 1 and 2). D) The spatial transcriptomics spots are visualized using a UMAP embedding, with colors representing the cluster assignments. E) The average standardized expression of annotated genes associated with gene ontology (GO) terms exhibiting spatially coherent expression patterns within each cluster is displayed. The expression levels are depicted using a color gradient, ranging from low (blue) to high (red). F–H) Cell‐cell communication analysis reveals significant collagen and TGF‐β signaling between epithelial cells and fibroblasts in the dataset. F) The circle plot illustrates the communication score between interacting cell clusters, with line thickness indicating the strength of communication. G) The heatmap depicts the sender‐receiver interaction matrix, where rows and columns represent sources and targets, respectively. The bar plots on the right and top represent the total outgoing and incoming interaction scores, respectively. H) The relative contribution of ligand (L)–receptor (R) pairs involved in the communication is shown. SDC, syndecan; ITGA, integrin subunit alpha; ITGB, integrin subunit beta.
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    Image Search Results


    Spatial transcriptomics analysis reveals the mechanobiological dialogues between epithelial cells and fibroblasts during a precancerous condition in the human tongue. A) The diagram illustrates the workflow of the spatial transcriptomics analysis conducted on a cryosection of a leukoplakia lesion in the human tongue. B) The Visium array spots on the tissue section are color‐coded based on the number of normalized unique molecular identifiers (UMIs, left) or total genes (right) in the dataset. C) The Visium array spots are colored based on the clustering assignments generated from the dataset. A total of 11 clusters were identified, including E(K)1 and E(K2) (epithelial keratinocyte clusters 1 and 2, respectively), E(D)1 and E(D)2 (differentiating epithelial cell clusters 1 and 2), E(B) (basal epithelial cell cluster), F1 and F2 (fibroblast clusters 1 and 2), M1 and M2 (muscle cell clusters 1 and 2), and O1 and O2 (unspecified, others 1 and 2). D) The spatial transcriptomics spots are visualized using a UMAP embedding, with colors representing the cluster assignments. E) The average standardized expression of annotated genes associated with gene ontology (GO) terms exhibiting spatially coherent expression patterns within each cluster is displayed. The expression levels are depicted using a color gradient, ranging from low (blue) to high (red). F–H) Cell‐cell communication analysis reveals significant collagen and TGF‐β signaling between epithelial cells and fibroblasts in the dataset. F) The circle plot illustrates the communication score between interacting cell clusters, with line thickness indicating the strength of communication. G) The heatmap depicts the sender‐receiver interaction matrix, where rows and columns represent sources and targets, respectively. The bar plots on the right and top represent the total outgoing and incoming interaction scores, respectively. H) The relative contribution of ligand (L)–receptor (R) pairs involved in the communication is shown. SDC, syndecan; ITGA, integrin subunit alpha; ITGB, integrin subunit beta.

    Journal: Advanced Science

    Article Title: Tissue Mechanics and Hedgehog Signaling Crosstalk as a Key Epithelial–Stromal Interplay in Cancer Development

    doi: 10.1002/advs.202400063

    Figure Lengend Snippet: Spatial transcriptomics analysis reveals the mechanobiological dialogues between epithelial cells and fibroblasts during a precancerous condition in the human tongue. A) The diagram illustrates the workflow of the spatial transcriptomics analysis conducted on a cryosection of a leukoplakia lesion in the human tongue. B) The Visium array spots on the tissue section are color‐coded based on the number of normalized unique molecular identifiers (UMIs, left) or total genes (right) in the dataset. C) The Visium array spots are colored based on the clustering assignments generated from the dataset. A total of 11 clusters were identified, including E(K)1 and E(K2) (epithelial keratinocyte clusters 1 and 2, respectively), E(D)1 and E(D)2 (differentiating epithelial cell clusters 1 and 2), E(B) (basal epithelial cell cluster), F1 and F2 (fibroblast clusters 1 and 2), M1 and M2 (muscle cell clusters 1 and 2), and O1 and O2 (unspecified, others 1 and 2). D) The spatial transcriptomics spots are visualized using a UMAP embedding, with colors representing the cluster assignments. E) The average standardized expression of annotated genes associated with gene ontology (GO) terms exhibiting spatially coherent expression patterns within each cluster is displayed. The expression levels are depicted using a color gradient, ranging from low (blue) to high (red). F–H) Cell‐cell communication analysis reveals significant collagen and TGF‐β signaling between epithelial cells and fibroblasts in the dataset. F) The circle plot illustrates the communication score between interacting cell clusters, with line thickness indicating the strength of communication. G) The heatmap depicts the sender‐receiver interaction matrix, where rows and columns represent sources and targets, respectively. The bar plots on the right and top represent the total outgoing and incoming interaction scores, respectively. H) The relative contribution of ligand (L)–receptor (R) pairs involved in the communication is shown. SDC, syndecan; ITGA, integrin subunit alpha; ITGB, integrin subunit beta.

    Article Snippet: Next, the tissues were flooded with keratinocyte growth medium (KGM−2 Keratinocyte Growth Medium‐2 BulletKit, CC‐3107, LONZA) containing 10% FBS.

    Techniques: Generated, Expressing