@article {38460,
	title = {Regulation of Lung Endoderm Progenitor Cell Behavior by miR302/367},
	journal = {DevelopmentDevelopmentDevelopmentDevelopment},
	volume = {138},
	year = {2011},
	type = {10.1242/dev.061762},
	abstract = {The temporal and spatial control of organ-specific endoderm progenitor development is poorly understood. miRNAs affect cell function by regulating programmatic changes in protein expression levels. We show that the miR302/367 cluster is a target of the transcription factor Gata6 in mouse lung endoderm and regulates multiple aspects of early lung endoderm progenitor development. miR302/367 is expressed at early stages of lung development, but its levels decline rapidly as development proceeds. Gain- and loss-of-function studies show that altering miR302/367 expression disrupts the balance of lung endoderm progenitor proliferation and differentiation, as well as apical-basal polarity. Increased miR302/367 expression results in the formation of an undifferentiated multi-layered lung endoderm, whereas loss of miR302/367 activity results in decreased proliferation and enhanced lung endoderm differentiation. miR302/367 coordinates the balance between proliferation and differentiation, in part, through direct regulation of Rbl2 and Cdkn1a, whereas apical-basal polarity is controlled by regulation of Tiam1 and Lis1. Thus, miR302/367 directs lung endoderm development by coordinating multiple aspects of progenitor cell behavior, including proliferation, differentiation and apical-basal polarity.},
	keywords = {Lung, MicroRNA, mouse, Progenitor},
	isbn = {0950-1991, 1477-9129},
	author = {Tian, Ying and Zhang, Yuzhen and Hurd, Laura and Sridhar Hannenhalli and Liu, Feiyan and Lu, Min Min and Morrisey, Edward E.}
}
@proceedings {38343,
	title = {Inexact Local Alignment Search over Suffix Arrays},
	year = {2009},
	month = {2009},
	publisher = {IEEE},
	type = {10.1109/BIBM.2009.25},
	abstract = {We describe an algorithm for finding approximate seeds for DNA homology searches. In contrast to previous algorithms that use exact or spaced seeds, our approximate seeds may contain insertions and deletions. We present a generalized heuristic for finding such seeds efficiently and prove that the heuristic does not affect sensitivity. We show how to adapt this algorithm to work over the memory efficient suffix array with provably minimal overhead in running time. We demonstrate the effectiveness of our algorithm on two tasks: whole genome alignment of bacteria and alignment of the DNA sequences of 177 genes that are orthologous in human and mouse. We show our algorithm achieves better sensitivity and uses less memory than other commonly used local alignment tools.},
	keywords = {bacteria, Bioinformatics, biology computing, Computational Biology, Costs, DNA, DNA homology searches, DNA sequences, Educational institutions, generalized heuristic, genes, Genetics, genome alignment, Genomics, human, inexact local alignment search, inexact seeds, local alignment, local alignment tools, memory efficient suffix array, microorganisms, molecular biophysics, mouse, Organisms, Sensitivity and Specificity, sequences, suffix array, USA Councils},
	isbn = {978-0-7695-3885-3},
	author = {Ghodsi, M. and M. Pop}
}
