Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: EC:2.7.10.1 (ERK)
 95,504 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Thyroid nodules are a common clinical problem, and fine-needle aspiration biopsy (FNAB) is widely used for its evaluation. Only 5% are malignant, being papillary carcinoma (PC) the most frequent neoplasia. Approximately 20% are classified as indeterminate or suspicious for malignancy. Gene-expression pattern may be useful for diagnosing PC in difficult or ambiguous cases. In our prior study, we were able to apply RT-PCR method in a series of routinely performed FNAB of thyroid nodules using individual, residual samples. In this study, a total of 70 thyroid samples were evaluated for the expression of MPPED2, H/HBA2, MET, FN1, GALE, and QPCT genes, including 24 cases of frozen thyroid tissue, 12 nodular hyperplasia and 12 PC, and the 46 consecutive thyroid FNAB samples, previously analyzed (3 positive, 10 indeterminate and 32 negative for malignancy, and 1 insufficient). FN1, GALE, MET, and QPCT mRNA expression were significantly different in benign and malignant samples, with similar pattern of overexpression in aspirates compared to frozen tissue. H/HBA2 and MPPED2 expression varied. Histological correlation was possible in five indeterminate cases, revealing one PC and four benign lesions. In conclusion, FN1, GALE, MET, and QPCT were significantly overexpressed in thyroid PC. RT-PCR method could be applied to routine FNAB, showing a similar pattern of overexpression. Despite the small number of cases evaluated, our results suggest that molecular analysis may be of assistance in patients with indeterminate/suspicious cytology, adding elements for preoperative diagnosis and better management of these patients.
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PMID:FN1, GALE, MET, and QPCT overexpression in papillary thyroid carcinoma: molecular analysis using frozen tissue and routine fine-needle aspiration biopsy samples. 2060 86

Paired-end RNA sequencing (RNA-Seq) was used to explore the bovine transcriptome from the mammary tissue of 12 Chinese Holstein cows with 6 extremely high and 6 low phenotypic values for milk protein percentage. We defined the differentially expressed transcripts between the two comparison groups, extremely high and low milk protein percentage during the peak lactation (HP vs LP) and during the non-lactating period (HD vs LD), respectively. Within the differentially expressed genes (DEGs), we detected 157 at peak lactation and 497 in the non-lactating period with a highly significant correlation with milk protein concentration. Integrated interpretation of differential gene expression indicated that SERPINA1, CLU, CNTFR, ERBB2, NEDD4L, ANG, GALE, HSPA8, LPAR6 and CD14 are the most promising candidate genes affecting milk protein concentration. Similarly, LTF, FCGR3A, MEGF10, RRM2 and UBE2C are the most promising candidates that in the non-lactating period could help the mammary tissue prevent issues with inflammation and udder disorders. Putative genes will be valuable resources for designing better breeding strategies to optimize the content of milk protein and also to provide new insights into regulation of lactogenesis.
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PMID:RNA-Seq reveals 10 novel promising candidate genes affecting milk protein concentration in the Chinese Holstein population. 2725 18

Transcriptome of papillary thyroid cancer (PTC) is well characterized and correlates with some prognostic and genotypic factors, but data addressing the interaction between PTC and tumor microenvironment (TME) are scarce. Therefore, in the present study, we aimed to assess the impact of TME on gene expression profile in PTC. We evaluated the gene expression profile in PTC and normal thyroid cells isolated by laser capture microdissection and in whole tissue slides corresponding to the entire tumor. We included 26 microdissected samples for gene expression analysis (HG-U133 PLUS 2.0, Affymetrix, currently Thermo Fisher Scientific USA): 15 PTC samples, 11 samples of normal thyrocytes, and 30 whole slides (15 PTC and 15 normal thyroid). Transcripts were divided into three groups: differentially expressed both in microdissected and whole slides, transcripts differently expressed in microdissected samples and not changed in whole slides, and transcripts differentially expressed in whole slides and not changed in microdissected samples. Eleven genes were selected for validation in an independent set of samples; among them, four genes differentiated only microdissected PTC and normal cells. Two genes (PTCSC and CTGF) were confirmed. One gene (FOS) was not confirmed by the validation, whereas EGR1 was also significant in whole slide analysis. The other seven genes (TFF3, FN1, MPPED2, MET, KCNJ2, TACSTD2, and GALE) showed differentiated expression in microdissected thyrocytes and in whole tumor slides. Most of identified genes were related to the tumor-microenvironment interaction and confirmed the crosstalk between TME and cancer cells.
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PMID:Impact of the Tumor Microenvironment on the Gene Expression Profile in Papillary Thyroid Cancer. 3232 Sep 75