ORCID Profile
0000-0002-9727-0036
Current Organisation
University of California, San Diego
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Publisher: Springer Science and Business Media LLC
Date: 27-02-2010
DOI: 10.1007/S10875-010-9378-5
Abstract: MicroRNA are emerging as key regulators of the development and function of adaptive immunity. These 19-24 nucleotide regulatory RNA molecules have essential roles in multiple faucets of adaptive immunity, from regulating the development of the key cellular players to the activation and function in immune responses. MicroRNA are involved in T cell and B cell differentiation in the thymus and bone marrow, and subsequent peripheral homeostasis. The contribution of specific microRNA to the adaptive immune response becomes even more apparent during the effector phases: class switching and germinal centre formation in B cells, differentiation into functional lineages in T cells, and activation of antigen-presentation cells through pattern-recognition pathways. With the capacity of microRNA to alter the survival and death of T and B cells, control over microRNA expression is essential to prevent adaptive immune cells from unregulated proliferation. MicroRNA can act both as 'oncomirs' and tumour suppressors, and thus dysregulation of microRNA in lymphocytes can cause malignancies. In this review, we will describe the role of microRNA in generating a productive adaptive response, and the consequences if microRNA-mediated repression of lymphocytes is perturbed.
Publisher: CSIRO Publishing
Date: 2019
DOI: 10.1071/WR18155
Abstract: Abstract ContextAccurate estimates of abundance are extremely useful for wildlife management and conservation. Estimates generated from distance s ling are typically considered superior to strip transects and abundance indices, as the latter do not account for probability of detection, thereby risking significant error. AimTo compare density estimates generated from conventional distance s ling (CDS) of arboreal marsupials with strip transect density estimates and abundance indices. MethodsOff-track CDS and strip transects were used to estimate densities of P. volans and P. peregrinus across ~2.6km2 of remnant eucalypt forest at Mt Duval in north-eastern New South Wales. Key resultsCDS density estimates for P. volans (1.36ha−1, 95% confidence interval (CI) of 1.07–1.72ha−1) and P. peregrinus (0.28ha−1, 95% CI 0.22–0.35ha−1) were consistent with densities reported in other studies conducted in open eucalypt forests. A strip transect width of 40m for P. volans resulted in a collective set of values for density (1.35ha−1), error (s.e.±0.14), precision (cv 0.10) and 95% CI (1.07–1.62ha−1) closest to those associated with the CDS-generated density estimate (1.36ha−1, s.e.±0.15, cv 0.10, 95% CI 1.07–1.72ha−1). Strip widths of 10 to 40m resulted in density estimates for P. peregrinus closest to those generated through CDS, but much less precise. ConclusionsAlthough a 40-m wide strip transect provided a robust density estimate for P. volans at Mt Duval, this is unlikely to be consistent across different study areas. Strip transects provided less precise density estimates, or underestimated P. peregrinus density at Mt Duval, when compared with CDS density estimates. CDS should be favoured over strip transects or abundance indices for estimating P. volans and P. peregrinus abundance, because it is capable of providing more meaningful and robust abundance estimates by accounting for the probability of detection from the transect line across different habitats. ImplicationsResearchers, conservation managers and decision makers should be aware that common methods for assessing arboreal marsupial abundance have serious potential weaknesses. Thus, it would be prudent to invest in studies that address imperfect detection to improve the quality of monitoring data.
Publisher: Springer Science and Business Media LLC
Date: 14-07-2013
DOI: 10.1038/NI.2649
Publisher: American Association for the Advancement of Science (AAAS)
Date: 06-12-2019
Abstract: miR-23~27~24 regulates T FH cells through targeting multiple genes including TOX, a key transcription factor for T FH cell biology.
Location: United States of America
Location: United States of America
No related grants have been discovered for Li-Fan Lu.