Recent publications (> 2011) 22. Cavallaro M, Walsh MD, Jones M, Teahan J, Tiberi S, Finkenstädt B, Hebenstreit D. 3'-5' crosstalk contributes to transcriptional bursting. BioRxiv. 2019; 514174. 21. Cavallaro M, Zhang J, Hebenstreit D. Timing Polymerase Pausing with TV-PRO-seq. BioRxiv. 2018; 461442. 20. Singh AK, Choudhury SR, De S, Zhang J, Kissane S, Dwivedi V, Ramanathan P, Orsini L, Hebenstreit D, Brogna S. The RNA helicase UPF1 associates with mRNAs co-transcriptionally and is required for the release of mRNAs from transcription sites. eLife. 2019; in press. 19. Dyer NP, Shahrezaei V, Hebenstreit D. LiBiNorm: an htseq-count analogue with improved normalisation of Smart-seq2 data and library preparation diagnostics. PeerJ. 2019 Feb 4;7:e6222. 18. Tiberi S, Walsh M, Cavallaro M, Hebenstreit D, Finkenstädt B. Bayesian inference on stochastic gene transcription from flow cytometry data. Bioinformatics. 2018 Sept 1;34(17):i647-i655. 17. Chortis V, Taylor AE, Doig CL, Walsh MD, Meimaridou E, Jenkinson C, Rodriguez-Blanco G, Ronchi CL, Jafri A, Metherell LA, Hebenstreit D, Dunn WB, Arlt W, Foster PA. Nicotinamide Nucleotide Transhydrogenase as a Novel Treatment Target in Adrenocortical Carcinoma. Endocrinology. 2018 Aug 1;159(8):2836-2849. 16. Gassner FJ, Schubert M, Rebhandl S, Spandl K, Zaborsky N, Catakovic K, Blaimer S, Hebenstreit D, Greil R, Geisberger R. Imprecision and DNA Break Repair Biased Towards Incompatible End Joining in Leukemia. Mol Cancer Res. 2018 Mar;16(3):428-438. 15. O'Reilly MW, Kempegowda P, Walsh M, Taylor AE, Manolopoulos KN, Allwood JW, Semple RK, Hebenstreit D, Dunn WB, Tomlinson JW, Arlt W. AKR1C3-mediated adipose androgen generation drives lipotoxicity in women with polycystic ovary syndrome. J Clin Endocrinol Metab. 2017 Sep 1;102(9):3327-3339. 14. Nathan A, Walsh M, Shahrezaei V, Hebenstreit D. Modeling Enzyme Processivity Reveals that RNA-Seq Libraries Are Biased in Characteristic and Correctable Ways Cell Syst. 2016 Nov 9. pii: S2405-4712(16)30331-3. 13. Hebenstreit D. Funding: Would Mendel have won it? Nature. 2016 Aug;536(7615):148. 12. Xie X, Stubbington MJ, Nissen JK, Andersen KG, Hebenstreit D, Teichmann SA, Betz AG. The Regulatory T Cell Lineage Factor Foxp3 Regulates Gene Expression through Several Distinct Mechanisms Mostly Independent of Direct DNA Binding. PLoS Genet. 2015 Jun 24;11(6):e1005251. 11. Huemer M, Rebhandl S, Zaborsky N, Gassner FJ, Hainzl S, Weiss L, Hebenstreit D, Greil R, Geisberger R. AID induces intraclonal diversity and genomic damage in CD86+ cells in chronic lymphocytic leukemia. Eur J Immunol. 2014 Dec;44(12):3747-57. 10. Rebhandl S, Huemer M, Gassner FJ, Zaborsky N, Hebenstreit D, Catakovic K, Grossinger E, Greil R, Geisberger R. APOBEC3 signature mutations in chronic lymphocytic leukemia. Leukemia. 2014 Sep;28(9):1929-32. 9. Mahata B, Zhang X, Kolodziejczyk AA, Proserpio V, Haim-Vilmovsky L, Taylor AE, Hebenstreit D, Dingler FA, Moignard V, Gottgens B, Arlt W, McKenzie ANJ, Teichmann SA. Single-Cell RNA Sequencing Reveals T Helper Cells Synthesizing Steroids De Novo to Contribute to Immune Homeostasis Cell Reports. 2014 May;7(4):1130-42. 8. Ott S, Hebenstreit D. Supply and demand: Apply market forces to peer review Nature. 2014 Feb;506(7488):295. 7. Hebenstreit D. Are gene loops the cause of transcriptional noise? Trends in Genetics. 2013 June;29(6):333-38. 6. Hebenstreit D. Methods, Challenges and Potentials of Single Cell RNA-seq Biology. 2012;1(3):658-67. 5. Hebenstreit D*, Deonarine A*, Babu MM, Teichmann SA. Duel of the fates: the role of transcriptional circuits and noise in CD4+ cells. Current Opinion in Cell Biology. 2012 June;24(3):350-8. 4. Brookes E*, de Santiago I*, Hebenstreit D, Morris KJ, Carroll T, Xie SQ, Stock JK, Heidemann M, Eick D, Nozaki N, Kimura H, Ragoussis J, Teichmann SA, Pombo A. Polycomb associates genome-wide with a specific RNA polymerase II variant, and regulates metabolic genes in ESCs. Cell Stem Cell. 2012 Feb;10(2):157-70. Featured article. 3. Hebenstreit D, Fang M, Gu M, Charoensawan V, van Oudenaarden A, Teichmann SA. RNA sequencing reveals two major classes of gene expression levels in metazoan cells. Molecular Systems Biology. 2011 Jun;7:497. Featured article. Top 4 most read MSB paper 2011. 2. Hebenstreit D, Teichmann SA. Analysis and simulation of gene expression profiles in pure and mixed cell populations. Phys Biol. 2011 Jun;8(3):035013. 1. Hebenstreit D, Gu M, Haider S, Turner DJ, Lio' P, Teichmann SA. EpiChIP: Gene-by-gene quantification of epigenetic modication levels. Nucleic Acids Res. 2011 Mar;39(5):e27. Featured article.