Difference between revisions of "Publications"
From Zhang Laboratory
(→2017) |
(→2015: fix switched links) |
||
| Line 65: | Line 65: | ||
[http://www.ncbi.nlm.nih.gov/pubmed/26234653 PubMed] | [http://www.ncbi.nlm.nih.gov/pubmed/26234653 PubMed] | ||
| − | [http://www. | + | [http://www.nature.com/ncomms/2015/150803/ncomms8816/pdf/ncomms8816.pdf PDF] |
[http://zhanglab.c2b2.columbia.edu/index.php/mRIN Software] | [http://zhanglab.c2b2.columbia.edu/index.php/mRIN Software] | ||
| Line 77: | Line 77: | ||
[http://www.ncbi.nlm.nih.gov/pubmed/25737549 PubMed] | [http://www.ncbi.nlm.nih.gov/pubmed/25737549 PubMed] | ||
| − | [http://www. | + | [http://www.pnas.org/content/early/2015/03/02/1502849112.full.pdf PDF] |
[http://zhanglab.c2b2.columbia.edu/index.php/Cortex_AS Supp Info] | [http://zhanglab.c2b2.columbia.edu/index.php/Cortex_AS Supp Info] | ||
Revision as of 16:20, 10 October 2017
Papers | Talks
[* co-first authors; † co-corresponding authors]
2017
Microexons: discovery, regulation, and function
Ustianenko,D., Weyn-Vanhentenryck, S.M., Zhang, C. 2017.
WIRES RNA,DOI: 10.1002/wrna.1418 (review)
A cell type-specific expression signature predicts haploinsufficient autism-susceptibility genes
Zhang,C.*,†, Shen,Y.*,† 2017.
Human Mutation, 38: 204-215.
PubMed PDF preprint at bioRxiv
CLIP Tool Kit (CTK): a flexible and robust pipeline to analyze CLIP sequencing data
Shah,A., Qian,Y., Weyn-Vanhentenryck,S.M., Zhang,C. 2017.
Bioinformatics. 33:566-567. DOI: 10.1093/bioinformatics/btw653.
2016
mCarts: genome-wide prediction of clustered sequence motifs as binding sites for RNA-binding proteins
Weyn-Vanhentenryck,S.M., Zhang,C. 2016.
Methods Mol Biol. 1421:215-226.
2015
MBNL sequestration by toxic RNAs and RNA misprocessing in the myotonic dystrophy brain
Goodwin, M., Mohan, A. Batra, R., Lee, K.-Y., Charizanis, K., Francisco Jose Fernandez-Gomez, F.J., Eddarkaoui, S., Sergeant, N., Buee, L., Kimura, T., Clark, H.B., Dalton, J., Takamura, K., Weyn-Vanhentenryck, S.M. , Zhang, C., Reid, T., Ranum, L.P.W., Day, J.W., Swanson, M.S. 2015.
Cell Rep. http://dx.doi.org/10.1016/j.celrep.2015.07.029.
mRIN for direct assessment of genome-wide and gene-specific mRNA integrity from large-scale RNA sequencing data
Feng, H., Zhang, X., Zhang, C. , 2015.
Nat Comm. 6:7816. doi: 10.1038/ncomms8816.
- Research highlights, “How good are those RNA-seq data?”, Nature Methods, 12:910 (2015).
Systematic discovery of regulated and conserved alternative exons in the mammalian brain reveals NMD modulating chromatin regulators.
Yan, Q.*, Weyn-Vanhentenryck, S.M.*,Wu, J., Sloan, S.A., Zhang, Y., Chen, K., Wu, J.-Q., Barres, B.A.†, Zhang, C.†, 2015.
Proc. Nat. Acad. Sci. USA. Mar 3. pii: 201502849.
2014
Loss of MBNL function leads to disruption of developmentally regulated alternative polyadenylation in RNA-mediated disease
Batra, R., Charizanis, K., Manchanda, M., Mohan, A., Li, M., Finn, D.J., Goodwin, Zhang, C., Sobczak,K., Thornton, C.A., Swanson, M.S. 2014.
Mol Cell. 56: 311-322.
An RNA-Sequencing transcriptome and splicing database of glia, neurons, and vascular cells of the cerebral cortex
Zhang, Y., Chen, K., Sloan, S., Bennett, M.L., Scholze, A.R., O’Keeffe, S., Phatnani, H.P., Guarnieri, P., Caneda, C., Ruderisch, N., Deng, S., Liddelow, S.A., Zhang, C., Daneman, R., Maniatis, T., Barres, B.A., Wu, J.-Q. 2014.
J Neurosci. 34:11929-11947.
HITS-CLIP and integrative modeling define the Rbfox splicing-regulatory network linked to brain development and autism
Weyn-Vanhentenryck, S.M.*, Mele,A.*, Yan,Q.*, Sun,S., Farny,N., Zhang,Z., Xue,C., Herre,M., Silver,P.A., Zhang,M.Q., Krainer,A.R., Darnell,R.B. †, Zhang,C. † 2014.
Cell Rep. 10.1016/j.celrep.2014.02.005.
Mapping Argonaute and conventional RNA-binding protein interactions with RNA at single-nucleotide resolution using HITS-CLIP and CIMS analysis
Moore, M.*, Zhang, C.*, Gantman, E.C., Mele, A., Darnell, J.C., Darnell, R.B. 2014.
Nat Protocols, 9:263-293.
2013
Progressive impairment of muscle regeneration in Muscleblind-like 3 isoform knockout mice
Poulos, M.G., Batra, R., Li, M., Yuan, Y., Zhang, C., Darnell, R.B., Swanson, M.S. 2013.
Hum Mol Genet. 22:3547-3558.
Prediction of clustered RNA-binding protein motif sites in the mammalian genome
Zhang, C. †, Lee, K.-Y., Swanson, M.S., Darnell, R.B. † 2013.
Nucleic Acids Res. 41:6793-6807.
OLego: Fast and sensitive mapping of spliced mRNA-Seq reads using small seeds
Wu,J., Anczukow,O., Krainer,A.R., Zhang,M.Q. †, Zhang,C. †, 2013.
Nucleic Acids Res. 41:5149-5163.
[Publications before my own lab]
2012
NOVA-dependent regulation of cryptic NMD exons controls synaptic protein levels after seizure
Eom,T., Zhang,C., Wang,H., Lay,K., Fak,J., Noebels,J.L., Darnell,R.B. 2012.
eLife, 2:e00178.
Neuronal Elav-like (Hu) Proteins Regulate RNA Splicing and Abundance to Control Glutamate Levels and Neuronal Excitability
Ince-Dunn, G., Okano, H.J., Jensen, K.B., Park, W.Y., Zhong, R., Ule, J., Mele,A., Fak, J.J., Yang, C., Zhang,C., Yoo, J., Herre, M., Okano, H., Noebels, J.L., Darnell, R.B., 2012.
Neuron, 75:1067-1080.
The lncRNA Malat1 is dispensable for mouse development but its transcription plays a cis-regulatory role in the adult
Zhang,B., Arun,G., Mao,Y.S., Lazar,Z., Hung,G., Bhattacharjee,G., Xiao,X., Booth,C.J., Wu,J., Zhang,C., Spector,D.L., 2012.
Cell Reports, 2:111-123.
Muscleblind-like 2 mediated alternative splicing in the developing brain and dysregulation in myotonic dystrophy
Charizanis, K., Lee, K.-Y., Batra, R., Goodwin, M., Zhang,C., Yuan, Y., Shuie, L., Cline, M., Scotti, M.M., Xia, G., Kumar,A., Ashizawa, T., Clark, H.B., Kimura, T., Takahashi, M.P., Fujimura, H., Jinnai, K., Yoshikawa, H., Pereira,M.G., Gourdon,G., Sakai,N., Nishino,S., Foster,T.C., Ares, M. Jr, Darnell, R.B. Swanson, M.S., 2012.
Neuron, 75:437-450.
Ptbp2 represses adult-specific splicing to regulate the generation of neuronal precursors in the embryonic brain
Licatalosi,D.D., Yano,M., Fak,J.J., Mele,A., Grabinski,S.E., Zhang,C., Darnell,R.B., 2012.
Genes Dev, 26:1626-1642.
2011
Identification of novel androgen-regulated pathways and mRNA isoforms through genome-wide exon-specific profiling of the LNCaP transcriptome
Rajan P., Dalgliesh, C., Carling, P., Buist, T., Zhang,C., Grellscheid, S., Armstrong, K., Stockley, J., Simillion, C., Gaughan, L., Kalna, G., Zhang, M.Q., Robson, C., Leung, H., Elliott, D. 2011.
PLoS One, 6: e29088.
Study of FoxA pioneer factor at silent genes reveals Rfx-repressed enhancer at Cdx2 and a potential indicator of esophageal adenocarcinoma development
Watts, J.A., Zhang,C., Klein-Szanto, A.J., Kormish, J.D., Fu, J., Zhang, M.Q., Zaret, K.S. 2011.
PLoS Genet, 7: e1002277.
FMRP stalls ribosomal translocation on mRNAs linked to synaptic function and autism
Darnell, J.C., Van Driesche, S.J., Zhang,C., Hung, K.Y.S., Mele, A., Fraser, C.E., Stone, E.F., Chen, C., Fak, J.J., Chi, S.W., Licatalosi, D.D., Richter, J.D., Darnell, R.B., 2011.
Cell, 146:247-261.
Mapping in vivo protein-RNA interactions at single-nucleotide resolution from HITS-CLIP data
Zhang,C.†, Darnell, R.B.† 2011.
Nat. Biotech. 29:607-614.
2010
Integrative modeling defines the Nova splicing-regulatory network and its combinatorial controls
Zhang,C.†, Frias, M.A., Mele, A., Ruggiu, M., Eom, T., Marney, C.B., Wang, H., Licatalosi, D.D., Fak, J.J., Darnell, R.B.† 2010.
Science. 329: 439-443. PubMed PDF
- Editor’s choice, Pickersgill, H. 2010. Making the Final Cut. Sci. Signal. 3:ec234;
- Nominated by leading researchers as one of the 33 papers that represent breakthroughs in computational biology in 2010. Mak H.C., 2011. Trends in computational biology-2010. Nat Biotech. 29, doi:10.1038/nbt.1747.
Dissecting the unique role of the retinoblastoma tumor suppressor during cellular senescence
Chicas, A., Wang, X., Zhang,C., McCurrach, M., Zhao Z., Ozlem, M., Dickins, R., Narita, M., Zhang, M.Q., and Lowe, S.W. 2010.
Cancer Cell. 17:376-387.
- Comment in Cancer Cell. 2010 Apr 13;17(4):313-4.
2008 or earlier
Expression of 24,426 human alternative splicing events and predicted cis regulation in 48 tissues and cell lines
Castle, J.C., Zhang,C., Shah, J.K., Kulkarni, A.V., Cooper, T.A., Johnson, J.M. 2008.
Nature Genet. 40:1416-1425.
Defining the regulatory network of the tissue-specific splicing factors Fox-1 and Fox-2
Zhang,C.*, Zhang, Z.*, Castle, J., Sun, S., Johnson, J., Krainer, A.R. and Zhang, M.Q. 2008.
Genes Dev. 22:2550-2563.
An RNA landscape of evolution for optimal exon and intron discrimination
Zhang,C., Li, W.-H., Krainer, A.R. and Zhang, M.Q. 2008.
Proc. Nat. Acad. Sci. USA. 105:5797-802.
Dual-specificity splice sites function alternatively as 5' and 3' splice sites
Zhang,C., Hasting, M.L., Krainer, A.R., Zhang, M.Q. 2007.
Proc. Nat. Acad. Sci. USA. 104(38): 15028-15033
Evolutionary impact of limited splicing fidelity in mammalian genes
Zhang,C., Krainer A.R., Zhang, M.Q. 2007.
Trends Genet. 23(10): 484-488.
An increased specificity score matrix for the prediction of SF2/ASF-specific exonic splicing enhancers
Smith, P.J., Zhang,C., Wang, J., Chew, S.L., Zhang, M.Q., Krainer, A.R. 2006.
Hum Mol Genet, 15:16):2490-2508.
Profiling alternatively spliced mRNA isoforms for prostate cancer classification
Zhang,C., Li, H.-R., Fan, J.-B., Wang-Rodriguez, J., Downs, T., Fu, X.-D. and Zhang, M.Q. 2006.
BMC Bioinformatics, 7:202.
Neighbor Number, Valley Seeking and Clustering
Zhang,C., Zhang, X., Zhang, M.Q. and Li, Y. 2007.
Pattern Recognition Letters,28:173-180.
A Clustering property of highly-degenerate transcription factor binding sites in the mammalian genome
Zhang,C., Xuan, Z., Otto, S., Hover, J.R., McCorkle, S.R., Mandel, G. and Zhang, M.Q. 2006.
Nucl Acids Res, 34: 2238-2246.
Significance of Gene Ranking for Classification of Microarray Samples
Zhang,C.*, Lu, X.* and Zhang, X. 2005.
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 3(3): 312-320.
Book Chapters
Identification of Splicing Factor Target Genes by High-Throughput Sequencing
Zhang,C., Zhang,M.Q. 2012.
Chapter 51 in Alternative pre-mRNA Splicing: Theory and Protocols. (S. Stamm, C.W. J. Smith, R. Lührmann, ed). Wiley-VCH Verlag GmbH & Co.
Functional in sillico analysis of gene regulatory polymorphism
Zhang,C., Zhao,X. and Zhang,M.Q. 2006.
Chapter 12. In Bioinformatics for Geneticists: A Bioinformatics primer for the analysis of genetic data. 2nd Ed. (M.R. Barnes, ed.) John Wiley & Sons, LTD.
Biomedical literature mining
Zhang,C., Zhang,M.Q. 2007.
Chap 10. in Introduction to Bioinformatics: A workbook approach. (V. Mathura ed) Elsevier.