Variation in homeodomain DNA binding revealed by high-resolution analysis of sequence preferences.
By M. Berger, Gwenael Badis, Andrew R. Gehrke, Shaheynoor Talukder, A. Philippakis, Lourdes Peña-Castillo, Trevis M. Alleyne, S. Mnaimneh, O. Botvinnik, Esther T. Chan and 7 more. Cell, 2008
670 citations recorded by the source corpus.
Subfields: Ecology, Evolution, Behavior and Systematics, Genetics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/30deb60b49de20dfa2525c9160d1884ded2c2af1
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In Ecology, Evolution, Behavior and Systematics
In Genetics
- Manolis Kellis
- Lucas D. Ward
- Trey Ideker
- Martha L. Bulyk
- Ron Shamir
- Konrad J. Karczewski
- Wyeth W. Wasserman
- Nicholas M. Luscombe
In Molecular Biology
- Ron Shamir
- Wyeth W. Wasserman
- Martha L. Bulyk
- Manolis Kellis
- Boris Lenhard
- Trey Ideker
- Albin Sandelin
- David J. Arenillas
Citations in the corpus
- An Atlas of Combinatorial Transcriptional Regulation in Mouse and Man (vol 140, pg 744, 2010) (2010, positive): “ChIP and PBMs have been applied to map transcriptional networks in a variety of human cell types, including stem cells (Cole et al., 2008; Lee et al., 2006) and lymphocytes (Marson et al., 2007; Schreiber et al., 2006), and to characterize the binding motifs of many mammalian TF families (Berger et ”
- UniPROBE, update 2015: new tools and content for the online database of protein-binding microarray data on protein–DNA interactions (2014, methodology): “Publications with data in UniPROBE whose protein pages currently link to TFBSshape (and vice versa) are: Berger et al. , 2006 (1); Berger et al. , 2008 (26); Zhu et al. , 2009 (27); Badis et al. , 2009 (28); Lesch et al. , 2009 (30); Scharer et al. , 2009 (32).”
- Annotation of functional variation in personal genomes using RegulomeDB (2012, methodology): “Secondly, we scanned the genome at a reasonable threshold for added positional weight matrices (PWMs) (Berger et al. 2006, 2008; Matys et al. 2006; Bryne et al. 2008; Badis et al. 2009; Scharer et al. 2009; Wei et al. 2010), which were further used to intersect with other functional data (see…”
- An atlas of combinatorial transcriptional regulation in mouse and man (2010, positive): “…have been applied to map transcriptional networks in a variety of human cell types, including stem cells (Cole et al., 2008; Lee et al., 2006) and lymphocytes (Marson et al., 2007; Schreiber et al., 2006), and to characterize the binding motifs of many mammalian TF families (Berger et al., 2008).”
- A comparative analysis of transcription factor binding models learned from PBM, HT-SELEX and ChIP data (2014, methodology): “In an additional test on two other PBM data sets covering 115 human and mouse E26 transformation-specific (ETS) and homeodomain TFs tested on a single array (19,20), HT-SELEX-derived models achieved an average AUC of 0.”
- Densely interconnected transcriptional circuits control cell states in human hematopoiesis (2011, positive): “The 396 enriched motifs were compared to a library of previously published motifs of known transcription factors (Badis et al., 2009; Berger et al., 2008; Chang et al., 2008; Matys et al., 2003; Sandelin et al., 2004).”
- JASPAR 2010: the greatly expanded open-access database of transcription factor binding profiles (2009, background): “PBM_HOMEO, the set derived by (40) includes 176 profiles from mouse homeodomains.”
- CG methylated microarrays identify a novel methylated sequence bound by the CEBPB|ATF4 heterodimer that is active in vivo (2013, methodology): “We adapted protein binding DNA microarray technology (Berger and Bulyk 2006; Berger et al. 2006, 2008) to evaluate how CG methylation affects binding of eight B-ZIP homodimers and the CEBPB|ATF4 heterodimer.”
- Multiplexed massively parallel SELEX for characterization of human transcription factor binding specificities. (2010, background): “In cases where the existing profiles were derived from more sequences or were generated using protein-binding microarrays (Berger et al. 2008; Badis et al. 2009), our profiles were in good agreement with the existing data.”
- Genome-wide analysis of ETS-family DNA-binding in vitro and in vivo (2010, positive): “Similarly, individually analysed homeobox-TF-binding profiles were found to be more divergent compared with those reported in two syste- matic studies (Berger et al, 2008; Noyes et al, 2008).”
- UniPROBE: an online database of protein binding microarray data on protein–DNA interactions (2008, neutral): “The site currently hosts PBM data for over 175 nonredundant proteins from a wide range of organisms, including the prokaryote Vibrio harveyi, the eukaryotic malarial parasite Plasmodium falciparum, the parasitic Apicomplexan Cryptosporidium parvum, the yeast Saccharomyces cerevisiae, the worm Caenor”
- Conservation of transcription factor binding specificities across 600 million years of bilateria evolution (2015, background): “Within each TF family, DNA binding specificity has also diverged considerably, with many families having 2–10 different subclasses displaying different primary binding specificities (Berger et al., 2008; Wei et al., 2010; Jolma et al., 2013).”
- Homeodomain proteins: an update (2015, background): “This resulted in databases where binding site preferences for individual transcription factors, or their DNA-binding domain, can be looked up (Affolter et al. 2008; Berger et al. 2008; Jolma et al. 2013; Noyes et al. 2008), for example, in Jaspar (http:// jaspar.genereg.net) (Mathelier et al. 2014).”