Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UNIPROT:P50502 (Hip)
 7,003 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

In estrogen target cells, estrogen receptor-alpha (ERalpha) protein levels are strictly regulated. Although receptor turnover is a continuous process, dynamic fluctuations in receptor levels, mediated primarily by the ubiquitin-proteasome pathway, occur in response to changing cellular conditions. In the absence of ligand, ERalpha is sequestered within a stable chaperone protein complex consisting of heat shock protein 90 (Hsp90) and cochaperones. However, the molecular mechanism(s) regulating ERalpha stability and turnover remain undefined. One potential mechanism involves CHIP, the carboxyl terminus of Hsc70-interacting protein, previously shown to target Hsp90-interacting proteins for ubiquitination and proteasomal degradation. In the present study, a role for CHIP in ERalpha protein degradation was investigated. In ER-negative HeLa cells transfected with ERalpha and CHIP, ERalpha proteasomal degradation increased, whereas ERalpha-mediated gene transcription decreased. In contrast, CHIP depletion by small interference RNA resulted in increased ERalpha accumulation and reporter gene transactivation. Transfection of mutant CHIP constructs demonstrated that both the U-box (containing ubiquitin ligase activity) and the tetratricopeptide repeat (TPR, essential for chaperone binding) domains within CHIP are required for CHIP-mediated ERalpha down-regulation. In addition, coimmunoprecipitation assays demonstrated that ERalpha and CHIP associate through the CHIP TPR domain. In ERalpha-positive breast cancer MCF7 cells, CHIP overexpression resulted in decreased levels of endogenous ERalpha protein and attenuation of ERalpha-mediated gene expression. Furthermore, the ERalpha-CHIP interaction was stimulated by the Hsp90 inhibitor geldanamycin (GA), resulting in enhanced ERalpha degradation; this GA effect was further augmented by CHIP overexpression but was abolished by CHIP depletion. Finally, ERalpha dissociation from CHIP by various ERalpha ligands, including 17beta-estradiol, 4-hydroxytamoxifen, and ICI 182,780, interrupted CHIP-mediated ERalpha degradation. These results demonstrate a role for CHIP in both basal and GA-induced ERalpha degradation. Furthermore, based on our observations that CHIP promotes ERalpha degradation and attenuates receptor-mediated gene transcription, we suggest that CHIP, by modulating ERalpha stability, contributes to the regulation of functional receptor levels, and thus hormone responsiveness, in estrogen target cells.
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PMID:CHIP (carboxyl terminus of Hsc70-interacting protein) promotes basal and geldanamycin-induced degradation of estrogen receptor-alpha. 1603 32

The advancement of ICT and affordability of medical sensors enable healthcare data to be obtained remotely. Remote healthcare data is erroneous in nature. Detection of errors for remote healthcare data has not been significantly studied. This research aims to design and develop a software system to detect and reduce such healthcare data errors. Enormous research efforts produced error detection algorithms, however, the detection is done at the server side after a substantial amount of data is archived. Errors can be efficiently reduced if the suspicious data can be detected at the source. We took the approach to predict acceptable range of anthropometric data of each patient. We analyzed 40,391 records to monitor the growth patterns. We plotted the anthropometric items e.g., Height, Weight, BMI, Waist and Hip size for males and females. The plots show some patterns based on different age groups. This paper reports one parameter, height of males. We found three groups that can be classified with similar growth patterns: Age group 20-49, no significant change; Age group 50-64, slightly decremented pattern; and Age group 65-100, a drastic height loss. The acceptable range can change over time. The system estimates the updated trend from new health records.
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PMID:A Predictive Model for Height Tracking in an Adult Male Population in Bangladesh to Reduce Input Errors. 3216 44