Therapeutic Implications of GIPC1 Silencing in Cancer

GIPC1 is a cytoplasmic scaffold protein that interacts with numerous receptor signaling complexes, and emerging evidence suggests that it plays a role in tumorigenesis. GIPC1 is highly expressed in a number of human malignancies, including breast, ovarian, gastric, and pancreatic cancers. Suppression of GIPC1 in human pancreatic cancer cells inhibits in vivo tumor growth in immunodeficient mice. To better understand GIPC1 function, we suppressed its expression in human breast and colorectal cancer cell lines and human mammary epithelial cells (HMECs) and assayed both gene expression and cellular phenotype. Suppression of GIPC1 promotes apoptosis in MCF-7, MDA-MD231, SKBR-3, SW480, and SW620 cells and impairs anchorage-independent colony formation of HMECs. These observations indicate GIPC1 plays an essential role in oncogenic transformation, and its expression is necessary for the survival of human breast and colorectal cancer cells. Additionally, a GIPC1 knock-down gene signature was used to interrogate publically available breast and ovarian cancer microarray datasets. This GIPC1 signature statistically correlates with a number of breast and ovarian cancer phenotypes and clinical outcomes, including patient survival. Taken together, these data indicate that GIPC1 inhibition may represent a new target for therapeutic development for the treatment of human cancers

Effect of season and trophic level on fatty acid composition andcontent of four commercial fish species from Krasnoyarsk Reservoir (Siberia, Russia)

tTwo groups of factors, phylogenetic and ecological, are presently regarded as controlling fatty acidcomposition of fish, including essential eicosapentaenoic (EPA) and docosahexaenoic (DHA) acids. Envi-ronmental effects, e.g., trophic position, temperature and/or seasonality, were previously studied usingsums of fatty acids or only their level data. We tested the hypothesis that differences in trophic levels ofpiscivorous (pike and perch) and omnivorous (roach and bream) fish from a mesotrophic reservoir allowdiscriminating levels and contents of individual fatty acids, especially EPA and DHA. The more establishedmeasurements, i.e., stomach contents and carbon and nitrogen stable isotopes in fish muscles, were alsocarried out to provide linkages between the different ecological tracers, fatty acids versus stable isotopes,and matching the methods for long-term food sources (fatty acids and stable isotopes) and recent for-aging (stomach content analysis). We also studied a putative influence of seasonality. Similar to otherstudies, there were seasonal changes in fatty acid composition and contents of two fish, perch and roach,due to direct and indirect effects of water temperature. Meanwhile, the piscivorous and omnivorousspecies captured in the same month, were explicitly differentiated on a base of stable isotopes and fattyacids. Significantly higher percentages and contents of DHA in piscivorous fish, perch and pike, relativelyto those in roach and bream, likely indicated a higher trophic transfer efficiency for this essential fattyacid. All the fishes have commercial importance for regional fishery and are harvested from the studiedreservoir for human nutrition. Regarding content of EPA + DHA (mg g−1fish) as the indicator of nutritivevalue for humans, pike had the highest nutritive value, roach and perch had intermediate overlappedvalues, and bream was of the least benefit

Effect of season and trophic level on fatty acid composition and content of four commercial fish species from Krasnoyarsk Reservoir (Siberia, Russia)

tTwo groups of factors, phylogenetic and ecological, are presently regarded as controlling fatty acidcomposition of fish, including essential eicosapentaenoic (EPA) and docosahexaenoic (DHA) acids. Envi-ronmental effects, e.g., trophic position, temperature and/or seasonality, were previously studied usingsums of fatty acids or only their level data. We tested the hypothesis that differences in trophic levels ofpiscivorous (pike and perch) and omnivorous (roach and bream) fish from a mesotrophic reservoir allowdiscriminating levels and contents of individual fatty acids, especially EPA and DHA. The more establishedmeasurements, i.e., stomach contents and carbon and nitrogen stable isotopes in fish muscles, were alsocarried out to provide linkages between the different ecological tracers, fatty acids versus stable isotopes,and matching the methods for long-term food sources (fatty acids and stable isotopes) and recent for-aging (stomach content analysis). We also studied a putative influence of seasonality. Similar to otherstudies, there were seasonal changes in fatty acid composition and contents of two fish, perch and roach,due to direct and indirect effects of water temperature. Meanwhile, the piscivorous and omnivorousspecies captured in the same month, were explicitly differentiated on a base of stable isotopes and fattyacids. Significantly higher percentages and contents of DHA in piscivorous fish, perch and pike, relativelyto those in roach and bream, likely indicated a higher trophic transfer efficiency for this essential fattyacid. All the fishes have commercial importance for regional fishery and are harvested from the studiedreservoir for human nutrition. Regarding content of EPA + DHA (mg g−1fish) as the indicator of nutritivevalue for humans, pike had the highest nutritive value, roach and perch had intermediate overlappedvalues, and bream was of the least benefit

Fatty Acid Composition of Fish Species with Different Feeding Habits from an Arctic Lake

Текст статьи не публикуется в открытом доступе в соответствии с политикой журнала

Fatty Acid Composition of Fish Species with Different Feeding Habits from an Arctic Lake

Текст статьи не публикуется в открытом доступе в соответствии с политикой журнала

Uncertain text entry on mobile devices

Users often struggle to enter text accurately on touchscreen keyboards. To address this, we present a flexible decoder for touchscreen text entry that combines probabilistic touch models with a language model. We investigate two different touch models. The first touch model is based on a Gaussian Process regression approach and implicitly models the inherent uncertainty of the touching process. The second touch model allows users to explicitly control the uncertainty via touch pressure. Using the first model we show that the character error rate can be reduced by up to 7% over a baseline method, and by up to 1.3% over a leading commercial keyboard. Using the second model we demonstrate that providing users with control over input certainty reduces the amount of text users have to correct manually and increases the text entry rate