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生成并评估一份用于潜在脊椎动物心脏场调节因子的排名候选基因列表。

Generating and evaluating a ranked candidate gene list for potential vertebrate heart field regulators.

作者信息

Musso G, Mosimann C, Panáková D, Burger A, Zhou Y, Zon L I, MacRae C A

机构信息

Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.

Howard Hughes Medical Institute, Boston, MA 02115, USA ; Stem Cell Program, Boston Children's Hospital, MA 02115, USA ; Division of Hematology/Oncology, Boston Children's Hospital, Harvard Stem Cell Institute, Harvard Medical School, Boston, MA 02115, USA ; Institute of Molecular Life Sciences (IMLS), University of Zürich, 8057 Zürich, Switzerland.

出版信息

Genom Data. 2015 Sep 16;6:199-201. doi: 10.1016/j.gdata.2015.09.015. eCollection 2015 Dec.

Abstract

The vertebrate heart develops from two distinct lineages of cardiomyocytes that arise from the first and second heart fields (FHF and SHF, respectively). The FHF forms the primitive heart tube, while adding cells from the SHF allows elongation at both poles of the tube. Initially seen as an exclusive characteristic of higher vertebrates, recent work has demonstrated the presence of a distinct FHF and SHF in lower vertebrates, including zebrafish. We found that key transcription factors that regulate septation and chamber formation in higher vertebrates, including Tbx5 and Pitx2, influence relative FHF and SHF contributions to the zebrafish heart tube. To identify molecular modulators of heart field migration, we used microarray-based expression profiling following inhibition of tbx5a and pitx2ab in embryonic zebrafish (Mosimann & Panakova, et al, 2015; GSE70750). Here, we describe in more detail the procedure used to process, prioritize, and analyze the expression data for functional enrichment.

摘要

脊椎动物的心脏由两种不同的心肌细胞谱系发育而来,它们分别起源于第一和第二心脏场(分别为FHF和SHF)。FHF形成原始心管,而来自SHF的细胞添加则使心管两极得以延长。最初被视为高等脊椎动物的独有特征,最近的研究表明,包括斑马鱼在内的低等脊椎动物中也存在不同的FHF和SHF。我们发现,在高等脊椎动物中调节隔膜形成和腔室形成的关键转录因子,包括Tbx5和Pitx2,会影响FHF和SHF对斑马鱼心管的相对贡献。为了鉴定心脏场迁移的分子调节因子,我们在胚胎斑马鱼中抑制tbx5a和pitx2ab后,使用基于微阵列的表达谱分析(Mosimann & Panakova等人,2015年;GSE70750)。在此,我们更详细地描述用于处理、排序和分析表达数据以进行功能富集的程序。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d8c/4664750/c3a5b08b9e5d/gr1.jpg

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