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Items: 25

1.

The Landscape of Phenotypic and Transcriptional Responses to Ciprofloxacin in Acinetobacter baumannii: Acquired Resistance Alleles Modulate Drug-Induced SOS Response and Prophage Replication.

Geisinger E, Vargas-Cuebas G, Mortman NJ, Syal S, Dai Y, Wainwright EL, Lazinski D, Wood S, Zhu Z, Anthony J, van Opijnen T, Isberg RR.

MBio. 2019 Jun 11;10(3). pii: e01127-19. doi: 10.1128/mBio.01127-19.

2.

Bacterial Factors Required for Transmission of Streptococcus pneumoniae in Mammalian Hosts.

Rowe HM, Karlsson E, Echlin H, Chang TC, Wang L, van Opijnen T, Pounds SB, Schultz-Cherry S, Rosch JW.

Cell Host Microbe. 2019 Jun 12;25(6):884-891.e6. doi: 10.1016/j.chom.2019.04.012. Epub 2019 May 21.

PMID:
31126758
3.

The Transcriptional landscape of Streptococcus pneumoniae TIGR4 reveals a complex operon architecture and abundant riboregulation critical for growth and virulence.

Warrier I, Ram-Mohan N, Zhu Z, Hazery A, Echlin H, Rosch J, Meyer MM, van Opijnen T.

PLoS Pathog. 2018 Dec 5;14(12):e1007461. doi: 10.1371/journal.ppat.1007461. eCollection 2018 Dec.

4.

Phage Display of Dynamic Covalent Binding Motifs Enables Facile Development of Targeted Antibiotics.

McCarthy KA, Kelly MA, Li K, Cambray S, Hosseini AS, van Opijnen T, Gao J.

J Am Chem Soc. 2018 May 16;140(19):6137-6145. doi: 10.1021/jacs.8b02461. Epub 2018 May 3.

5.

Antibiotics Disrupt Coordination between Transcriptional and Phenotypic Stress Responses in Pathogenic Bacteria.

Jensen PA, Zhu Z, van Opijnen T.

Cell Rep. 2017 Aug 15;20(7):1705-1716. doi: 10.1016/j.celrep.2017.07.062.

6.

MAGenTA: a Galaxy implemented tool for complete Tn-Seq analysis and data visualization.

McCoy KM, Antonio ML, van Opijnen T.

Bioinformatics. 2017 Sep 1;33(17):2781-2783. doi: 10.1093/bioinformatics/btx320.

7.

Strain Dependent Genetic Networks for Antibiotic-Sensitivity in a Bacterial Pathogen with a Large Pan-Genome.

van Opijnen T, Dedrick S, Bento J.

PLoS Pathog. 2016 Sep 8;12(9):e1005869. doi: 10.1371/journal.ppat.1005869. eCollection 2016 Sep.

8.

Genome-Wide Fitness and Genetic Interactions Determined by Tn-seq, a High-Throughput Massively Parallel Sequencing Method for Microorganisms.

van Opijnen T, Lazinski DW, Camilli A.

Curr Protoc Microbiol. 2015 Feb 2;36:1E.3.1-24. doi: 10.1002/9780471729259.mc01e03s36.

9.

Genomic analyses of pneumococci from children with sickle cell disease expose host-specific bacterial adaptations and deficits in current interventions.

Carter R, Wolf J, van Opijnen T, Muller M, Obert C, Burnham C, Mann B, Li Y, Hayden RT, Pestina T, Persons D, Camilli A, Flynn PM, Tuomanen EI, Rosch JW.

Cell Host Microbe. 2014 May 14;15(5):587-599. doi: 10.1016/j.chom.2014.04.005.

10.

Genome-Wide Fitness and Genetic Interactions Determined by Tn-seq, a High-Throughput Massively Parallel Sequencing Method for Microorganisms.

van Opijnen T, Lazinski DW, Camilli A.

Curr Protoc Mol Biol. 2014 Apr 14;106:7.16.1-24. doi: 10.1002/0471142727.mb0716s106. Review.

11.

Transposon insertion sequencing: a new tool for systems-level analysis of microorganisms.

van Opijnen T, Camilli A.

Nat Rev Microbiol. 2013 Jul;11(7):435-42. doi: 10.1038/nrmicro3033. Epub 2013 May 28. Review.

12.

A fine scale phenotype-genotype virulence map of a bacterial pathogen.

van Opijnen T, Camilli A.

Genome Res. 2012 Dec;22(12):2541-51. doi: 10.1101/gr.137430.112. Epub 2012 Jul 23.

13.

Control of virulence by small RNAs in Streptococcus pneumoniae.

Mann B, van Opijnen T, Wang J, Obert C, Wang YD, Carter R, McGoldrick DJ, Ridout G, Camilli A, Tuomanen EI, Rosch JW.

PLoS Pathog. 2012;8(7):e1002788. doi: 10.1371/journal.ppat.1002788. Epub 2012 Jul 12.

14.

Genome-wide fitness and genetic interactions determined by Tn-seq, a high-throughput massively parallel sequencing method for microorganisms.

van Opijnen T, Camilli A.

Curr Protoc Microbiol. 2010 Nov;Chapter 1:Unit1E.3. doi: 10.1002/9780471729259.mc01e03s19.

15.

Tn-seq: high-throughput parallel sequencing for fitness and genetic interaction studies in microorganisms.

van Opijnen T, Bodi KL, Camilli A.

Nat Methods. 2009 Oct;6(10):767-72. doi: 10.1038/nmeth.1377. Epub 2009 Sep 20.

16.

Adaptation of HIV-1 depends on the host-cell environment.

van Opijnen T, de Ronde A, Boerlijst MC, Berkhout B.

PLoS One. 2007 Mar 7;2(3):e271.

18.

Genetic variability in the three genomes of Nasonia: nuclear, mitochondrial and Wolbachia.

van Opijnen T, Baudry E, Baldo L, Bartos J, Werren JH.

Insect Mol Biol. 2005 Dec;14(6):653-63.

PMID:
16313565
19.

The host environment drives HIV-1 fitness.

van Opijnen T, Berkhout B.

Rev Med Virol. 2005 Jul-Aug;15(4):219-33. Review.

PMID:
15942979
20.

T-cell activation leads to poor activation of the HIV-1 clade E long terminal repeat and weak association of nuclear factor-kappaB and NFAT with its enhancer region.

Lemieux AM, Paré ME, Audet B, Legault E, Lefort S, Boucher N, Landry S, van Opijnen T, Berkhout B, Naghavi MH, Tremblay MJ, Barbeau B.

J Biol Chem. 2004 Dec 17;279(51):52949-60. Epub 2004 Oct 1.

21.
22.

Human immunodeficiency virus type 1 subtypes have a distinct long terminal repeat that determines the replication rate in a host-cell-specific manner.

van Opijnen T, Jeeninga RE, Boerlijst MC, Pollakis GP, Zetterberg V, Salminen M, Berkhout B.

J Virol. 2004 Apr;78(7):3675-83.

23.

Genetic conflicts over sex ratio: mite-endosymbiont interactions.

Vala F, Van Opijnen T, Breeuwer JA, Sabelis MW.

Am Nat. 2003 Feb;161(2):254-66.

PMID:
12675371
24.

AFLP fingerprinting for assessing intraspecific variation and genome mapping in mites.

Weeks AR, van Opijnen T, Breeuwer JA.

Exp Appl Acarol. 2000;24(10-11):775-93. Review.

PMID:
11345315
25.

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