Gene Expression Analysis

Oetting, William S.

doi:10.1034/j.1600-0749.2000.130105.x

Cited by 5 publications

(6 citation statements)

References 13 publications

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“…Martin and collaborators (Martin et al, 2001) found that less than 10% (12/170) of the DD-isolated sequences spotted on a membrane gave useful results upon further analysis of additional patient samples. Several studies using PCR-DD and mAs as complementary approaches detected few genes (0-10) by both approaches (Outinen et al, 1998;Wells, 1999;Cirelli and Tononi, 2000;Oetting, 2000;Heilig and Sommer, 2004;Pascal et al, 2005). Our large-scale study permits a more extensive comparison of PCR-DD and arrays, and shows that the correlation is good if certain reasonable selection criteria are used.…”

Section: Methods and Strategymentioning

confidence: 66%

Head and neck squamous cell carcinoma transcriptome analysis by comprehensive validated differential display

Millon²,

et al. 2005

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Head and neck squamous cell carcinoma (HNSCC) is common worldwide and is associated with a poor rate of survival. Identification of new markers and therapeutic targets, and understanding the complex transformation process, will require a comprehensive description of genome expression, that can only be achieved by combining different methodologies. We report here the HNSCC transcriptome that was determined by exhaustive differential display (DD) analysis coupled with validation by different methods on the same patient samples. The resulting 820 nonredundant sequences were analysed by high throughput bioinformatics analysis. Human proteins were identified for 73% (596) of the DD sequences. A large proportion (>50%) of the remaining unassigned sequences match ESTs (expressed sequence tags) from human tumours. For the functionally annotated proteins, there is significant enrichment for relevant biological processes, including cell motility, protein biosynthesis, stress and immune responses, cell death, cell cycle, cell proliferation and/or maintenance and transport. Three of the novel proteins (TMEM16A, PHLDB2 and ARH-GAP21) were analysed further to show that they have the potential to be developed as therapeutic targets.

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Section: Methods and Strategymentioning

confidence: 66%

Head and neck squamous cell carcinoma transcriptome analysis by comprehensive validated differential display

Millon²,

et al. 2005

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“…Mutations in TYRP1 result in the inability to convert the brownish 5,6-dihydroxyindol into the blackish eumelanin, which affects the shade of brown color of wool [24,28]. KIT [19], MLPH [24], and KIF5A [29] are commonly recognized as genes that mediate the formation and distribution of pigment granules in melanocytes which are associated with the translocation of melanosomes. In contrast, the PMEL [27] gene is involved in melanosome structure, and its variation can inhibit melanosome formation, resulting in melanin dilution [24,25].…”

Section: Introductionmentioning

confidence: 99%

Whole Genome Resequencing Reveals Selection Signals Related to Wool Color in Sheep

Zhang,

Jin,

et al. 2023

Animals

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Wool color is controlled by a variety of genes. Although the gene regulation of some wool colors has been studied in relative depth, there may still be unknown genetic variants and control genes for some colors or different breeds of wool that need to be identified and recognized by whole genome resequencing. Therefore, we used whole genome resequencing data to compare and analyze sheep populations of different breeds by population differentiation index and nucleotide diversity ratios (Fst and θπ ratio) as well as extended haplotype purity between populations (XP-EHH) to reveal selection signals related to wool coloration in sheep. Screening in the non-white wool color group (G1 vs. G2) yielded 365 candidate genes, among which PDE4B, GMDS, GATA1, RCOR1, MAPK4, SLC36A1, and PPP3CA were associated with the formation of non-white wool; an enrichment analysis of the candidate genes yielded 21 significant GO terms and 49 significant KEGG pathways (p < 0.05), among which 17 GO terms and 21 KEGG pathways were associated with the formation of non-white wool. Screening in the white wool color group (G2 vs. G1) yielded 214 candidate genes, including ABCD4, VSX2, ITCH, NNT, POLA1, IGF1R, HOXA10, and DAO, which were associated with the formation of white wool; an enrichment analysis of the candidate genes revealed 9 significant GO-enriched pathways and 19 significant KEGG pathways (p < 0.05), including 5 GO terms and 12 KEGG pathways associated with the formation of white wool. In addition to furthering our understanding of wool color genetics, this research is important for breeding purposes.

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“…People whose tyrosinase gene is inherently deleted or less expressed develop albinism or vitiligo disease. 9,10 The tyrosinasemediated reaction is based on oxidation in the active site of the enzyme. Without any cofactor, tyrosinase oxidizes phenolic moieties using only oxygen molecules.…”

Section: Introductionmentioning

confidence: 99%

Tyrosinase‐mediated hydrogel crosslinking for tissue engineering

Choi

Ahn

Kim

2021

J of Applied Polymer Sci

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Hydrogel system based on enzyme-mediated mild crosslinking reaction has been a promising approach in tissue engineering. Inspired by skin melanin synthesis and marine mussel adhesion, tyrosinase-mediated hydrogel crosslinking has been exploited as cell-friendly reactions and explicit reaction mechanisms. Hydrogel prepared by tyrosinase exhibits appealing properties as a dynamic scaffold for cell delivery and as a bioink for 3D bioprinting. Recapitulating the structure of the native extracellular matrix (ECM), innovative tyrosinase-mediated hydrogel crosslinking has now shifted to the field of translational medicine. Biomimetic hydrogel with in situ tyrosinase crosslinking can be efficiently and easily applicable to the disease model for therapeutic purposes. In this review, we will discuss a broad range of tyrosinase-mediated tissue engineering from the specific mechanism of tyrosinase reaction and designing a strategy for tyrosinase-mediated hydrogel crosslinking to dynamic applications in tissue engineering. In addition, we report the current challenges and future perspectives for the translational applications.

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Gene Expression Analysis

Cited by 5 publications

References 13 publications

Head and neck squamous cell carcinoma transcriptome analysis by comprehensive validated differential display

Head and neck squamous cell carcinoma transcriptome analysis by comprehensive validated differential display

Whole Genome Resequencing Reveals Selection Signals Related to Wool Color in Sheep

Tyrosinase‐mediated hydrogel crosslinking for tissue engineering

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