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Muhammad Jasim Uddin

Researcher at University of Queensland

Publications -  86
Citations -  1353

Muhammad Jasim Uddin is an academic researcher from University of Queensland. The author has contributed to research in topics: Population & Gene. The author has an hindex of 20, co-authored 80 publications receiving 1157 citations. Previous affiliations of Muhammad Jasim Uddin include Bangladesh Agricultural University & University of Bonn.

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Exosomal and Non-Exosomal Transport of Extra-Cellular microRNAs in Follicular Fluid: Implications for Bovine Oocyte Developmental Competence.

TL;DR: The presence of exosome or non-exosome mediated transfer of miRNA in the bovine follicular fluid, and oocyte growth dependent variation in extra-cellular miRNA signatures in the follicular environment is demonstrated for the first time.
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Age-related changes in relative expression stability of commonly used housekeeping genes in selected porcine tissues

TL;DR: Although, there was discrepancy in the ranking order of reference genes obtained by different analysing software methods, the geometric mean of the RPL4, PPIA and YWHAZ seems to be the most appropriate combination of housekeeping genes for accurate normalization of gene expression data in different porcine tissues at different ages.
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Association study and expression analysis of porcine ESR1 as a candidate gene for boar fertility and sperm quality

TL;DR: In this paper, the authors investigated the association between sperm quality and boar fertility traits in a total of 300 boars both from purebred Pietrain and Pietrain × Hampshire crosses.
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Evaluation of suitable reference genes for gene expression studies in porcine alveolar macrophages in response to LPS and LTA

TL;DR: The geometric mean of the SDHA, YWHAZ and RPL4 seemed to be the most appropriate combination of HKGs for accurate normalization of gene expression data in porcine AMs without knowing the type of bacterial pathogenic status of the animals.
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Evaluation of suitable reference genes for gene expression studies in porcine PBMCs in response to LPS and LTA.

TL;DR: The geometric mean of the RPL4, B2M and PPIA seemed to be the most appropriate combination of reference genes for accurate normalization of gene expression data in porcine PBMCs without knowing the type of bacterial pathogenic status of the animals and in the case of mixed infection with Gram-negative and Gram-positive bacteria.