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Objectives: To test the ACE-Plus curriculum, a two-session program that teaches males in foster care and/or preventive services about correct and consistent condom use, and engagement with female partners to obtain and use contraception. Methods: Nine foster care agencies in New York City randomly assigned 223 males aged 16-20 to the ACE-Plus intervention or a benign program. Youth completed surveys at baseline, 3-month follow-up, and 9-month follow-up. Regression analyses assessed the effects of program participation on condom use, use of hormonal birth control method, use of birth control by female sex partner(s), obtaining birth control with a sex partner(s), and communication about birth control with a sex partner(s). Results: At 3-month follow-up, treatment youth were significantly more likely than control youth to report communicating with their sexual partner(s) about birth control (p = 0.0062). While not statistically significant, treatment youth were more likely to report obtaining birth control with a sex partner(s) than control youth at 3-month follow-up. Impact estimates for the remaining behavioral outcomes favored the control group, though not significantly. Implementation data suggest the program was delivered with fidelity. Conclusion: Based on these mixed results, perhaps more developmental research into this short-duration intervention for this high-needs population is necessary.

Objectives The uptake and actual use of the current guidelines from the American College of Obstetrics and Gynecology (ACOG) is unknown. Methods Family planning providers across Colorado and Iowa were surveyed as part of statewide initiatives to reduce unintended pregnancy in 2010 and 2012, both before and after the release of the guidelines. These initiatives focused on the promotion of intrauterine devices (IUDs) and implants. These surveys included questions on providers' views regarding the suitability and safety of the copper T IUD, hormonal IUD, and single rod implant for various subgroups of clients. The results are contrasted with guidelines provided in July of 2011 by ACOG. This strategy provides both baseline and follow-up models about the methods promoted in these guidelines. Results Findings show that there is some improvement in beliefs that IUDs are suitable and safe for women who are post-partum, post-abortion, have had an ectopic pregnancy, are nulliparous, teenagers, or have a history of STIs. However, these clinicians' views are not entirely in alignment with ACOG recommendations in their beliefs that these methods should not be used immediately post-partum or post-abortion. Notable percentages of these clinicians were hesitant to recommend these effective methods for other groups of patients, approved for use by ACOG. Conclusions While the cost of these methods is a barrier to adoption, these data suggest that there are continuing provider barriers to their use as well. The paper concludes with suggestions for further training for family planning providers.

To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.cell.2009.10.014 Byline: Dimitrios Iliopoulos (1), Heather A. Hirsch (1), Kevin Struhl (1) Keywords: CELLCYCLE; HUMDISEASE Abstract: Inflammation is linked clinically and epidemiologically to cancer, and NF-[kappa]B appears to play a causative role, but the mechanisms are poorly understood. We show that transient activation of Src oncoprotein can mediate an epigenetic switch from immortalized breast cells to a stably transformed line that forms self-renewing mammospheres that contain cancer stem cells. Src activation triggers an inflammatory response mediated by NF-[kappa]B that directly activates Lin28 transcription and rapidly reduces let-7 microRNA levels. Let-7 directly inhibits IL6 expression, resulting in higher levels of IL6 than achieved by NF-[kappa]B activation. IL6-mediated activation of the STAT3 transcription factor is necessary for transformation, and IL6 activates NF-[kappa]B, thereby completing a positive feedback loop. This regulatory circuit operates in other cancer cells lines, and its transcriptional signature is found in human cancer tissues. Thus, inflammation activates a positive feedback loop that maintains the epigenetic transformed state for many generations in the absence of the inducing signal. Author Affiliation: (1) Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA Article History: Received 3 April 2009; Revised 15 July 2009; Accepted 25 September 2009 Article Note: (miscellaneous) Published online: October 29, 2009

Author(s): The ENCODE Project Consortium; Analysis Coordination; Ewan Birney (corresponding author) [1]; John A. Stamatoyannopoulos (corresponding author) [2]; Anindya Dutta (corresponding author) [3]; Roderic Guigó (corresponding author) [4, 5]; Thomas [...]

Abstract Background High density oligonucleotide tiling arrays are an effective and powerful platform for conducting unbiased genome-wide studies. The ab initio probe selection method employed in tiling arrays is unbiased, and thus ensures consistent sampling across coding and non-coding regions of the genome. These arrays are being increasingly used to study the associated processes of transcription, transcription factor binding, chromatin structure and their association. Studies of differential expression and/or regulation provide critical insight into the mechanics of transcription and regulation that occurs during the developmental program of a cell. The time-course experiment, which comprises an in-vivo system and the proposed analyses, is used to determine if annotated and un-annotated portions of genome manifest coordinated differential response to the induced developmental program. Results We have proposed a novel approach, based on a piece-wise function – to analyze genome-wide differential response. This enables segmentation of the response based on protein-coding and non-coding regions; for genes the methodology also partitions differential response with a 5' versus 3' versus intra-genic bias. Conclusion The algorithm built upon the framework of Significance Analysis of Microarrays, uses a generalized logic to define regions/patterns of coordinated differential change. By not adhering to the gene-centric paradigm, discordant differential expression patterns between exons and introns have been identified at a FDR of less than 12 percent. A co-localization of differential binding between RNA Polymerase II and tetra-acetylated histone has been quantified at a p-value < 0.003; it is most significant at the 5' end of genes, at a p-value < 10-13. The prototype R code has been made available as supplementary material [see Additional file 1]. Additional file 1 gsam_prototypercode.zip. File archive comprising of prototype R code for gSAM implementation including readme and examples. Click here for file

Abstract Background High density oligonucleotide tiling arrays are an effective and powerful platform for conducting unbiased genome-wide studies. The ab initio probe selection method employed in tiling arrays is unbiased, and thus ensures consistent sampling across coding and non-coding regions of the genome. Tiling arrays are increasingly used in chromatin immunoprecipitation (IP) experiments (ChIP on chip). ChIP on chip facilitates the generation of genome-wide maps of in-vivo interactions between DNA-associated proteins including transcription factors and DNA. Analysis of the hybridization of an immunoprecipitated sample to a tiling array facilitates the identification of ChIP-enriched segments of the genome. These enriched segments are putative targets of antibody assayable regulatory elements. The enrichment response is not ubiquitous across the genome. Typically 5 to 10% of tiled probes manifest some significant enrichment. Depending upon the factor being studied, this response can drop to less than 1%. The detection and assessment of significance for interactions that emanate from non-canonical and/or un-annotated regions of the genome is especially challenging. This is the motivation behind the proposed algorithm. Results We have proposed a novel rank and replicate statistics-based methodology for identifying and ascribing statistical confidence to regions of ChIP-enrichment. The algorithm is optimized for identification of sites that manifest low levels of enrichment but are true positives, as validated by alternative biochemical experiments. Although the method is described here in the context of ChIP on chip experiments, it can be generalized to any treatment-control experimental design. The results of the algorithm show a high degree of concordance with independent biochemical validation methods. The sensitivity and specificity of the algorithm have been characterized via quantitative PCR and independent computational approaches. Conclusion The algorithm ranks all enrichment sites based on their intra-replicate ranks and inter-replicate rank consistency. Following the ranking, the method allows segmentation of sites based on a meta p-value, a composite array signal enrichment criterion, or a composite of these two measures. The sensitivities obtained subsequent to the segmentation of data using a meta p-value of 10-5, an array signal enrichment of 0.2 and a composite of these two values are 88%, 87% and 95%, respectively.