In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.

Input: Consider Input: BACKGROUND Clonal competition in cancer describes the process in which the progeny of a cell clone supersedes or succumbs to other competing clones due to differences in their functional characteristics, mostly based on subsequently acquired mutations. Even though the patterns of those mutations are well explored in many tumors, the dynamical process of clonal selection is underexposed.
METHODS We studied the dynamics of clonal competition in a BcrAbl-induced leukemia using a -retroviral vector library encoding the oncogene in conjunction with genetic barcodes. To this end, we studied the growth dynamics of transduced cells on the clonal level both in vitro and in vivo in transplanted mice.
RESULTS While we detected moderate changes in clonal abundancies in vitro, we observed monoclonal leukemias in 6/30 mice after transplantation, which intriguingly were caused by only two different BcrAbl clones. To analyze the success of these clones, we applied a mathematical model of hematopoietic tissue maintenance, which indicated that a differential engraftment capacity of these two dominant clones provides a possible explanation of our observations. These findings were further supported by additional transplantation experiments and increased BcrAbl transcript levels in both clones.
CONCLUSION Our findings show that clonal competition is not an absolute process based on mutations, but highly dependent on selection mechanisms in a given environmental context.

Output: Clonal competition in BcrAbl-driven leukemia: how transplantations can accelerate clonal conversion

Input: Consider Input: BACKGROUND Open chromatin regions are correlated with active regulatory elements in development and are dysregulated in diseases. The BAF (SWI/SNF) complex is essential for development, and has been demonstrated to remodel reconstituted chromatin in vitro and to control the accessibility of a few individual regions in vivo. However, it remains unclear where and how BAF controls the open chromatin landscape to regulate developmental processes, such as human epidermal differentiation.
RESULTS Using a novel "on-plate" ATAC-sequencing approach for profiling open chromatin landscapes with a low number of adherent cells, we demonstrate that the BAF complex is essential for maintaining 11.6 % of open chromatin regions in epidermal differentiation. These BAF-dependent open chromatin regions are highly cell-type-specific and are strongly enriched for binding sites for p63, a master epidermal transcription factor. The DNA sequences of p63 binding sites intrinsically favor nucleosome formation and are inaccessible in other cell types without p63 to prevent ectopic activation. In epidermal cells, BAF and p63 mutually recruit each other to maintain 14,853 open chromatin regions. We further demonstrate that BAF and p63 cooperatively position nucleosomes away from p63 binding sites and recruit transcriptional machinery to control tissue differentiation.
CONCLUSIONS BAF displays high specificity in controlling the open chromatin landscape during epidermal differentiation by cooperating with the master transcription factor p63 to maintain lineage-specific open chromatin regions.

Output: A novel ATAC-seq approach reveals lineage-specific reinforcement of the open chromatin landscape via cooperation between BAF and p63

Input: Consider Input: This paper highlights methods for using geospatial analysis to assess, enhance, and improve recruitment efforts to ensure representativeness in study populations. We apply these methods to the Measurement to Understand Reclassification of Disease of Cabarrus/Kannapolis (MURDOCK) study, a longitudinal population health study focused on the city of Kannapolis and Cabarrus County, NC. Although efforts have been made to recruit a participant registry that is representative of the 18 ZIP code catchment region inclusive of Cabarrus County and Kannapolis, bias in such recruitment is inevitable. Participants in the MURDOCK study are geospatially referenced at entry, providing information that can be used to monitor and guide recruitment efforts. MURDOCK participant population representativeness was assessed using chi-squared tests to compare the MURDOCK population with 2010 Census data, relative to both the entire 18 ZIP code catchment area and for individual Census tracts. A logistic regression model was fit to characterize Census tracts with low recruitment, defined by fewer than 56 participants from that tract. The distance to the site at which participants enrolled was calculated, and median distance to enrollment site was used in the logistic regression. Tracts with low recruitment rates contained higher minority and younger populations, suggesting specific strategies for improving recruitment in these areas. Areal units farther away from enrollment sites were also not well-sampled, despite being in the specified study area, indicating that distance traveled to enrollment may be a barrier. These results have implications for targeting recruitment efforts and representative samples more generally, including in other population-based studies.
Output: Improving population representation through geographic health information systems: mapping the MURDOCK study.