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151.
J T Papendorp R W Schatz A M Soto C Sonnenschein 《Journal of cellular physiology》1985,125(3):591-595
A comparative study of the proliferative effect of 17 beta-estradiol and 17 alpha-estradiol on human estrogen-sensitive cell lines was performed. When using charcoal-dextran stripped human female sera-supplemented media the administration of the hormones, 17 alpha-estradiol at 3 X 10(-10)M, and 17 beta-estradiol at 3 X 10(-11)M, resulted in a ten-fold increase in cell yield when compared with non-estrogen supplemented controls after cells were grown for periods between 10 to 14 days. No significant metabolization of 17 alpha-estradiol into 17 beta-estradiol occurred as measured by the E2 levels in the supernatants of the cell culture flasks. Increased concentrations of 17 beta-estradiol and 17 alpha-estradiol added to the media bathing C7MCF7-173 cells resulted in a triggering of a partially successful shut-off effect; this phenomenon was not observed with T47D-All cells. These results are compatible with predictions stemming from the indirect and direct negative working hypothesis for the regulation of cell proliferation. 相似文献
152.
Pim van Hooft Herbert HT Prins Wayne M Getz Anna E Jolles Sipke E van Wieren Barend J Greyling Paul D van Helden Armanda DS Bastos 《BMC evolutionary biology》2010,10(1):106
Background
The Y-chromosomal diversity in the African buffalo (Syncerus caffer) population of Kruger National Park (KNP) is characterized by rainfall-driven haplotype frequency shifts between year cohorts. Stable Y-chromosomal polymorphism is difficult to reconcile with haplotype frequency variations without assuming frequency-dependent selection or specific interactions in the population dynamics of X- and Y-chromosomal genes, since otherwise the fittest haplotype would inevitably sweep to fixation. Stable Y-chromosomal polymorphism due one of these factors only seems possible when there are Y-chromosomal distorters of an equal sex ratio, which act by negatively affecting X-gametes, or Y-chromosomal suppressors of a female-biased sex ratio. These sex-ratio (SR) genes modify (suppress) gamete transmission in their own favour at a fitness cost, allowing for stable polymorphism. 相似文献153.
154.
155.
Background
The recent availability of new, less expensive high-throughput DNA sequencing technologies has yielded a dramatic increase in the volume of sequence data that must be analyzed. These data are being generated for several purposes, including genotyping, genome resequencing, metagenomics, and de novo genome assembly projects. Sequence alignment programs such as MUMmer have proven essential for analysis of these data, but researchers will need ever faster, high-throughput alignment tools running on inexpensive hardware to keep up with new sequence technologies. 相似文献156.
Towards clarification of the biological role of microcystins, a family of cyanobacterial toxins 总被引:1,自引:0,他引:1
Schatz D Keren Y Vardi A Sukenik A Carmeli S Börner T Dittmann E Kaplan A 《Environmental microbiology》2007,9(4):965-970
Microcystins constitute a serious threat to the quality of drinking water worldwide. These protein phosphatase inhibitors are formed by various cyanobacterial species, including Microcystis sp. Microcystins are produced by a complex microcystin synthetase, composed of peptide synthetases and polyketide synthases, encoded by the mcyA-J gene cluster. Recent phylogenetic analysis suggested that the microcystin synthetase predated the metazoan lineage, thus dismissing the possibility that microcystins emerged as a means of defence against grazing, and their original biological role is not clear. We show that lysis of Microcystis cells, either mechanically or because of various stress conditions, induced massive accumulation of McyB and enhanced the production of microcystins in the remaining Microcystis cells. A rise in McyB content was also observed following exposure to microcystin or the protease inhibitors micropeptin and microginin, also produced by Microcystis. The extent of the stimulation by cell extract was strongly affected by the age of the treated Microcystis culture. Older cultures, or those recently diluted from stock cultures, hardly responded to the components in the cell extract. We propose that lysis of a fraction of the Microcystis population is sensed by the rest of the cells because of the release of non-ribosomal peptides. The remaining cells respond by raising their ability to produce microcystins thereby enhancing their fitness in their ecological niche, because of their toxicity. 相似文献
157.
Zachary D. Stephens Skylar Y. Lee Faraz Faghri Roy H. Campbell Chengxiang Zhai Miles J. Efron Ravishankar Iyer Michael C. Schatz Saurabh Sinha Gene E. Robinson 《PLoS biology》2015,13(7)
Genomics is a Big Data science and is going to get much bigger, very soon, but it is not known whether the needs of genomics will exceed other Big Data domains. Projecting to the year 2025, we compared genomics with three other major generators of Big Data: astronomy, YouTube, and Twitter. Our estimates show that genomics is a “four-headed beast”—it is either on par with or the most demanding of the domains analyzed here in terms of data acquisition, storage, distribution, and analysis. We discuss aspects of new technologies that will need to be developed to rise up and meet the computational challenges that genomics poses for the near future. Now is the time for concerted, community-wide planning for the “genomical” challenges of the next decade.We compared genomics with three other major generators of Big Data: astronomy, YouTube, and Twitter. Astronomy has faced the challenges of Big Data for over 20 years and continues with ever-more ambitious studies of the universe. YouTube burst on the scene in 2005 and has sparked extraordinary worldwide interest in creating and sharing huge numbers of videos. Twitter, created in 2006, has become the poster child of the burgeoning movement in computational social science [6], with unprecedented opportunities for new insights by mining the enormous and ever-growing amount of textual data [7]. Particle physics also produces massive quantities of raw data, although the footprint is surprisingly limited since the vast majority of data are discarded soon after acquisition using the processing power that is coupled to the sensors [8]. Consequently, we do not include the domain in full detail here, although that model of rapid filtering and analysis will surely play an increasingly important role in genomics as the field matures.To compare these four disparate domains, we considered the four components that comprise the “life cycle” of a dataset: acquisition, storage, distribution, and analysis (
Data Phase
Astronomy
Twitter
YouTube
Genomics
Acquisition
25 zetta-bytes/year 0.5–15 billion tweets/year 500–900 million hours/year 1 zetta-bases/year
Storage
1 EB/year 1–17 PB/year 1–2 EB/year 2–40 EB/year
Analysis
In situ data reduction Topic and sentiment mining Limited requirements Heterogeneous data and analysis Real-time processing Metadata analysis Variant calling, ~2 trillion central processing unit (CPU) hours Massive volumes All-pairs genome alignments, ~10,000 trillion CPU hours
Distribution
Dedicated lines from antennae to server (600 TB/s) Small units of distribution Major component of modern user’s bandwidth (10 MB/s) Many small (10 MB/s) and fewer massive (10 TB/s) data movement