Dr Sarah Langley

2023

• Zalivina, I. et al. 2023. Inhibition of miR-199a-3p in a murine hypertrophic cardiomyopathy (HCM) model attenuates fibrotic remodeling. Journal of Molecular and Cellular Cardiology Plus 6, article number: 100056. (10.1016/j.jmccpl.2023.100056)
• Utami, K. H. et al. 2023. Dysregulated COMT expression in fragile X syndrome. NeuroMolecular Medicine 25(4), pp. 644-649. (10.1007/s12017-023-08754-1)
• Tano, V., Utami, K. H., Yusof, N. A. B. M., Bégin, J., Tan, W. W. L., Pouladi, M. A. and Langley, S. R. 2023. Widespread dysregulation of mRNA splicing implicates RNA processing in the development and progression of Huntington's disease. EBioMedicine 94, article number: 104720. (10.1016/j.ebiom.2023.104720)
• Fairley, L. H. et al. 2023. Mitochondrial control of microglial phagocytosis by the translocator protein and hexokinase 2 in Alzheimer's disease. Proceedings of the National Academy of Sciences 120(8), article number: e2209177120. (10.1073/pnas.2209177120)

2022

• Tham, N. and Langley, S. R. 2022. Evaluating the robustness of connectivity methods to noise for in silico drug repurposing studies. Frontiers in Systems Biology 2, article number: 1050730. (10.3389/fsysb.2022.1050730)
• Ziaei, A. et al. 2022. Ermin deficiency leads to compromised myelin, inflammatory milieu, and susceptibility to demyelinating insult. Brain Pathology 32(5), article number: e13064. (10.1111/bpa.13064)
• Bao, X. et al. 2022. Molecular subgroups of intrahepatic cholangiocarcinoma discovered by single-cell RNA sequencing–assisted multiomics analysis. Cancer Immunology Research 10(7), pp. 811–828. (10.1158/2326-6066.CIR-21-1101)
• Chothani, S. P. et al. 2022. A high-resolution map of human RNA translation. Molecular Cell 82(15), pp. 2885-2899. (10.1016/j.molcel.2022.06.023)

2021

• Basnakova, A. et al. 2021. The habenula clock influences response to a stressor. Neurobiology of Stress 15, article number: 100403. (10.1016/j.ynstr.2021.100403)

2020

• Trott, J. et al. 2020. Mitchell-Riley syndrome iPSC exhibit reduced pancreatic endoderm differentiation due to an RFX6 mutation. Development 147(21) (10.1242/dev.194878)

2019

• Zhang, J. et al. 2019. Expanded huntingtin CAG repeats disrupt the balance between neural progenitor expansion and differentiation in human cerebral organoids. [Online]. bioRXiv. (10.1101/850586) Available at: https://doi.org/10.1101/850586
• Laaniste, L. et al. 2019. Integrated systems-genetic analyses reveal a network target for delaying glioma progression.. Annals of Clinical and Translational Neurology 6(9), pp. 1616-1638. (10.1002/acn3.50850)
• Chothani, S. et al. 2019. Widespread translational control of fibrosis in the human heart by RNA-binding proteins.. Circulation 140(11), pp. 937-951. (10.1161/CIRCULATIONAHA.119.039596)
• Bardile, C. F. et al. 2019. Intrinsic mutant HTT-mediated defects in oligodendroglia cause myelination deficits and behavioral abnormalities in Huntington disease. Proceedings of the National Academy of Sciences of the United States of America 116(19), pp. 9622-9627. (10.1073/pnas.1818042116)
• Tan, A. L. M. et al. 2019. Ethnicity-specific skeletal muscle transcriptional signatures and their relevance to insulin resistance in Singapore.. The Journal of Clinical Endocrinology & Metabolism 104(2), pp. 465-486. (10.1210/jc.2018-00309)
• Ooi, J. et al. 2019. Unbiased profiling of Isogenic Huntington Disease hPSC-Derived CNS and peripheral cells reveals strong cell-type specificity of CAG length effects. Cell Reports 26(9), pp. 2494-2508. (10.1016/j.celrep.2019.02.008)

2018

• Barwari, T. et al. 2018. Inhibition of profibrotic microRNA-21 affects platelets and their releasate.. JCI Insight 3(21), article number: e123335. (10.1172/jci.insight.123335)
• Chothani, S. et al. 2018. Translational control of cardiac fibrosis. [Online]. bioRXiv. (10.1101/451666) Available at: https://doi.org/10.1101/451666
• May, P. et al. 2018. Rare coding variants in genes encoding GABAA receptors in genetic generalised epilepsies: an exome-based case-control study.. The Lancet. Neurology 17(8), pp. 699-708. (10.1016/s1474-4422(18)30215-1)
• McCormack, M. et al. 2018. Genetic variation in CFH predicts phenytoin-induced maculopapular exanthema in European-descent patients.. Neurology 90(4), pp. e332-e341. (10.1212/WNL.0000000000004853)

2017

• Berghuis, B. et al. 2017. Carbamazepine- and oxcarbazepine-induced hyponatremia in people with epilepsy.. Epilepsia 58(7), pp. 1227-1233. (10.1111/epi.13777)
• Langley, S. R. et al. 2017. Extracellular matrix proteomics identifies molecular signature of symptomatic carotid plaques.. Journal of Clinical Investigation 127(4), pp. 1546–1560. (10.1172/JCI86924)
• Rackham, O. J. L. et al. 2017. A Bayesian approach for analysis of whole-genome Bisulfite sequencing data identifies disease-associated changes in DNA Methylation.. Genetics 205(4), pp. 1443–1458. (10.1534/genetics.116.195008)
• Kumar Srivastava, P. et al. 2017. Genome-wide analysis of differential RNA editing in epilepsy.. Genome Research 27(3), pp. 440-450. (10.1101/gr.210740.116)
• Rackham, O. J. L. et al. 2017. A Bayesian approach for analysis of whole-genome bisulphite sequencing data identifies disease-associated changes in DNA methylation. [Online]. BioRXiv. (10.1101/041715) Available at: https://doi.org/10.1101/041715

2016

• Delahaye-Duriez, A. et al. 2016. Rare and common epilepsies converge on a shared gene regulatory network providing opportunities for novel antiepileptic drug discovery.. Genome Biology 17, article number: 245. (10.1186/s13059-016-1097-7)
• Gomes, R. S. et al. 2016. "Young at heart": regenerative potential linked to immature cardiac phenotypes.. Journal of Molecular and Cellular Cardiology 92, pp. 105-108. (10.1016/j.yjmcc.2016.01.026)
• Johnson, M. R. et al. 2016. Systems genetics identifies a convergent gene network for cognition and neurodevelopmental disease.. Nature Neuroscience 19, pp. 223-232. (10.1038/nn.4205)
• Kaudewitz, D. et al. 2016. Association of MicroRNAs and YRNAs with platelet function.. Circulation Research 118(3), pp. 420-432. (10.1161/CIRCRESAHA.114.305663)
• Zampetaki, A. et al. 2016. Angiogenic microRNAs Linked to Incidence and Progression of Diabetic Retinopathy in Type 1 Diabetes.. Diabetes 65(1), pp. 216-227. (10.2337/db15-0389)

2015

• Langley, S. R. and Mayr, M. 2015. Comparative analysis of statistical methods used for detecting differential expression in label-free mass spectrometry proteomics.. Journal of Proteomics 129, pp. 83-92. (10.1016/j.jprot.2015.07.012)
• Roncon, P. et al. 2015. MicroRNA profiles in hippocampal granule cells and plasma of rats with pilocarpine-induced epilepsy--comparison with human epileptic samples.. Scientific Reports 5, article number: 14143. (10.1038/srep14143)
• Johnson, M. R. et al. 2015. Systems genetics identifies Sestrin 3 as a regulator of a proconvulsant gene network in human epileptic hippocampus.. Nature Communications 6, article number: 6031. (10.1038/ncomms7031)

2014

• Johnson, M. D. et al. 2014. Genetic analysis of the cardiac methylome at single nucleotide resolution in a model of human cardiovascular disease.. Plos Genetics 10(12), article number: e1004813. (10.1371/journal.pgen.1004813)
• Cuello, F. et al. 2014. Redox state of pentraxin 3 as a novel biomarker for resolution of inflammation and survival in sepsis.. Molecular & cellular proteomics : MCP 13(10), pp. 2545-2557. (10.1074/mcp.M114.039446)
• Zampetaki, A. et al. 2014. Role of miR-195 in aortic aneurysmal disease.. Circulation Research 115(10), pp. 857-866. (10.1161/circresaha.115.304361)
• Goedeke, L. et al. 2014. Long-term therapeutic silencing of miR-33 increases circulating triglyceride levels and hepatic lipid accumulation in mice.. EMBO Molecular Medicine 6(9), pp. 1133-1141. (10.15252/emmm.201404046)
• Stegemann, C. et al. 2014. Lipidomics profiling and risk of cardiovascular disease in the prospective population-based Bruneck study.. Circulation Research 129(18), pp. 1821-1831. (10.1161/circulationaha.113.002500)
• Beyer, C. et al. 2014. Signature of circulating microRNAs in osteoarthritis.. Annals of the Rheumatic Diseases 74(3) (10.1136/annrheumdis-2013-204698)

2013

• Abonnenc, M. et al. 2013. Extracellular matrix secretion by cardiac fibroblasts: role of microRNA-29b and microRNA-30c.. Circulation Research 113(10), pp. 1138-1147. (10.1161/circresaha.113.302400)
• Langley, S. R. et al. 2013. Systems-level approaches reveal conservation of trans-regulated genes in the rat and genetic determinants of blood pressure in humans.. Cardiovascular Research 97(4), pp. 653-665. (10.1093/cvr/cvs329)
• Langley, S. R., Dwyer, J., Drozdov, I., Yin, X. and Mayr, M. 2013. Proteomics: from single molecules to biological pathways.. Cardiovascular Research 97(4), pp. 612-622. (10.1093/cvr/cvs346)
• Yin, X. et al. 2013. Effects of perhexiline-induced fuel switch on the cardiac proteome and metabolome.. Journal of Molecular and Cellular Cardiology 55, pp. 27-30. (10.1016/j.yjmcc.2012.12.014)
• Stegemann, C., Didangelos, A., Barallobre-Barreiro, J., Langley, S. R., Mandal, K., Jahangiri, M. and Mayr, M. 2013. Proteomic identification of matrix metalloproteinase substrates in the human vasculature.. Circulation. Cardiovascular genetics 6(1), pp. 106-117. (10.1161/circgenetics.112.964452)
• Willeit, P. et al. 2013. Circulating microRNAs as novel biomarkers for platelet activation.. Circulation Research 112(4), pp. 595-600. (10.1161/circresaha.111.300539)

2011

• Lin, B. et al. 2011. Determining signalling nodes for apoptosis by a genetic high-throughput screen. Plos One 6(9), article number: e25023. (10.1371/journal.pone.0025023)
• Bottolo, L. et al. 2011. ESS++: a C++ objected-oriented algorithm for Bayesian stochastic search model exploration.. Bioinformatics 27(4), pp. 587-588. (10.1093/bioinformatics/btq684)

2010

• Heinig, M. et al. 2010. A trans-acting locus regulates an anti-viral expression network and type 1 diabetes risk.. Nature 467, pp. 460-464. (10.1038/nature09386)
• Petretto, E. et al. 2010. New insights into the genetic control of gene expression using a Bayesian multi-tissue approach.. PLoS Computational Biology (10.1371/journal.pcbi.1000737)

2008

• Stylianou, I. M., Langley, S. R., Walsh, K., Chen, Y., Revenu, C. and Paigen, B. 2008. Differences in DBA/1J and DBA/2J reveal lipid QTL genes.. Journal of Lipid Research 49(11), pp. 2402-2413. (10.1194/jlr.M800244-JLR200)