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Title Page

Contents

ABSTRACT 9

Chapter 1. Introduction 12

1.1. MicroRNA (miRNA) biogenesis and function 12

1.2. MicroRNA (miRNA) - messenger RNA (mRNA) interactions. 16

1.3. MicroRNA target prediction 18

Chapter 2. H19X-encoded microRNAs induced by IL-4 in adipocyte precursors regulate proliferation to facilitate differentiation. 23

2.1. Introduction 23

2.2. Materials and Methods 29

2.2.1. Adipocyte progenitor (AP) isolation and culture 29

2.2.2. Quantitative RT-PCR 29

2.2.3. Western blotting 30

2.2.4. Luciferase assay 30

2.2.5. MTT cell proliferation assay 31

2.2.6. Flow cytometry analysis 31

2.2.7. Immunofluorescence staining 32

2.2.8. mRNA library preparation and sequencing 32

2.2.9. Small RNA library preparation and sequencing 32

2.2.10. Differential expression analyses 33

2.2.11. miRNA target prediction/ KEGG pathway enrichment/ miRNA-mRNA regulatory network/ transcription factor (TF) enrichment analyses 33

2.2.12. Statistical analysis 34

2.3. Result 35

2.3.1. Differential gene expression following IL-4 stimulation in adipocyte precursors 35

2.3.2. A group of microRNAs encoded in the H19X locus of the genome are upregulated immediately upon IL-4 stimulation 42

2.3.3. IL-4-upregulated miRNAs target Wnt signaling pathway related genes 47

2.3.4. Wnt signaling related genes, Ccnd1 and Fzd6, are downregulated by IL-4 upregulated miRNAs 51

2.3.5. miRNA/Wnt regulatory feedback circuit controls proliferation and commitment of APs 56

2.3.6. H19X-encoded miRNAs affect the differentiation potential of adipocyte precursors 65

2.4. Discussion 73

Chapter 3. The miRNA-mediated gene regulatory network of aging in mouse hippocampus and hypothalamus 76

3.1. Introduction 76

3.2. Materials and Methods 79

3.2.1. Animals 79

3.2.2. Brain tissue isolation 79

3.2.3. Quantification of coagulation factor III levels 79

3.2.4. RNA Extraction and Sequencing 80

3.2.5. mRNA library Preparation and Sequencing 80

3.2.6. Small RNA Library Preparation and Sequencing 81

3.2.7. mRNA sequence analysis 81

3.2.8. Small-RNA sequence analysis 82

3.2.9. Differential Gene Expression (DGE) analysis 82

3.2.10. miRNA target prediction and functional analysis 83

3.2.11. miRNA-mRNA regulatory network analysis 83

3.2.12. Statistical analysis 84

3.3. Result 85

3.3.1. Bulk-RNA sequencing of the mouse hippocampus and hypothalamus 85

3.3.2. Comparison between bulk and single cell data. 92

3.3.3. Small RNA sequencing of the mouse hypothalamus and hippocampus. 102

3.3.4. Common DE miRNA DE mRNA in both hypothalamus and hippocampal brain tissue region between young and aged mouse 120

3.4. Discussion 123

Chapter 4. Conclusions 127

REFERENCES 129

ABBREVIATIONS 143

국문요약 156

List of Tables

Table 1. Differentially expressed miRNAs in adipocyte precursors upon IL-4 stimulation. 48

List of Figures

Figure 1. The canonical microRNA biogenesis pathway. This figure is modified from Figure 1 in Daugaard and Hansen et al. 2017. 13

Figure 2. The selection of the mature miRNA strand and the fate of its passenger strand. This figure is modified from Figure 1 in Guo and Lu et al. 2010. 14

Figure 3. MicroRNA plays a crucial role in the developmental and pathological processes. 15

Figure 4. Schematic representation of canonical miRNA response element (MRE) types. This figure is modified from Figure 1 in Steinkraus et al. 2016. 17

Figure 5. The computational approach for the prediction of microRNA-mRNA interactions. 19

Figure 6. Expression-based miRNA target prediction. 20

Figure 7. Experimental validation confirms condition-specific microRNA-mRNA interactions. 21

Figure 8. Origins and classification of adipocyte cells. 24

Figure 9. Three types of adipocyte cells. This figure is modified from Figure 2 in Paul et al. 2018. 25

Figure 10. (A) Location of brown, white, beige adipocytes in mice. This figure is modified from Figure 3 in Bartelt and Heeren et al. 2014. (B) Structure of white adipose tissue.... 26

Figure 11. (A) Schematic of IL-4 induced priming of APs. (B) The cell proliferation rate of APs cultured in IL-4 containing media (n=3). (C) The beige adipogenic markers (Pgc1-... 36

Figure 12. (A) The mRNA levels of Ucp1, Ap2, and Pgc1-α genes were measured by quantitative PCR (qPCR) in differentiated adipocytes (n=3). (B) The protein levels of... 37

Figure 13. (A) Principal component analysis (PCA) of three replicates for control and IL- 4-stimulated adipocyte precursors. (B) Correlation matrix of all the samples. 39

Figure 14. Transcriptomic analysis of control and IL-4–treated APs (four-day sample). The mRNA-seq results are presented as a volcano plot (Total 18345 genes). The genes of... 40

Figure 15. KEGG pathway analysis of upregulated (log2 fold change〉 1, p.adj 〈0.05, upper panel, red) and downregulated (log2 fold change 〈-1, p.adj 〈0.05, lower panel, blue)... 41

Figure 16. (A) The analysis of differentially expressed miRNAs using the small RNA sequencing data of control and IL-4–treated APs (two-day sample). Differentially... 43

Figure 17. (A) The primary transcripts of miR-503, miR-351, and miR-542 were examined by qPCR for the expression levels in APs incubated with IL-4 for 0, 2, 4, and 6 days (n=3).... 44

Figure 18. (A) Transcription factor enrichment analysis for the promoter region of H19X- encoded miRNAs. Top-ranked transcription factors are presented in the table. (B) Klf4... 46

Figure 19. KEGG pathway analysis in shared target genes of H19X-encoded miRNAs. 49

Figure 20. (A) Analysis of shared target genes of H19X-encoded miRNAs using TargetScan. The numbers of overlapping target genes are presented in the table. (B) KEGG... 50

Figure 21. (A) The gene structures of Ccnd1 is shown with binding sites for H19X- encoded miRNAs in the 3′ UTR. (B) The CCND1 protein levels decreased with miR-322-... 52

Figure 22. (A) The gene structures of Fzd6 is shown with binding sites for H19X-encoded miRNAs in the 3′ UTR. Data are presented as mean ± SEM. *** p 〈0.005, ** p 〈0.01, * p 〈0.05. 53

Figure 23. (A) The positions and sequences of miRNA binding sites in the 3′ UTR of Ccnd1 is presented. The seed region of miRNA is highlighted in red and is base paired with... 54

Figure 24. (A) The positions and sequences of miRNA binding sites in the 3′ UTR of Fzd6 is presented. The seed region of miRNA is highlighted in red and is base paired with the... 55

Figure 25. (A) H19X-encoded mature miRNAs expression levels were measured in APs after induction of LiCl treatment. miR-322-5p, miR-351-5p, and miR-542-3p were... 58

Figure 26. The proliferation of APs was analyzed after treatment with LiCl and miR-322- 5p/miR-503-5p and miR-450b-5p/miR-542-3p mimics. 59

Figure 27. IL-4-induced cell proliferation was analyzed after transfection of miR-322- 5p/miR-503-5p and miR-450b-5p/miR-542-3p mimics. Data are presented as mean ± SEM.... 60

Figure 28. The proliferation of APs was analyzed by flow cytometry. The percentage of Ki67-positive cells measured after six-days incubation in IL-4 containing medium with... 61

Figure 29. Total cell number analysis of adipocyte precursors. Adipocyte precursors were counted for each condition (control, IL-4, IL-4 + miR-322-5p/miR-503-5p)(n=2). Data are... 62

Figure 30. The proliferation of APs was analyzed by immunocytochemistry. The percentage of Ki67-positive cells increased after six-days incubation in IL-4 containing... 63

Figure 31. The mRNA expression levels of beige adipogenic markers were measured by qPCR (n=3) after induction of IL-4 and LiCl in APs. Data are presented as mean ± SEM.... 64

Figure 32. H19X-encoded mature miRNAs, miR-322-5p and miR-542-3p and adipogenic marker levels were measured after cells were cultured in a differentiation medium for beige... 66

Figure 33. The primary transcripts of miR-503 and miR-542 levels and adipogenic markers were measured after induction of adipocytes differentiation. The let-7b primary transcript... 67

Figure 34. mRNA expression levels of IL-4, IL-4Rα, and Ap2 were measured via qPCR in scWAT samples of 1, 2, and 3 week postnatal mice (n=3). IL-4 mRNA level was below... 68

Figure 35. APs were transiently transfected with miRNA mimic mix (miR-322-5p/miR- 503-5p/miR-450b-5p/miR-542-3p) for 24 h and stimulated with adipogenic cocktail for the... 69

Figure 36. The mRNA levels of Ucp1 and Ap2 were analyzed during beige adipocyte differentiation and the pretreatment of miRNA mimic mix (miR-322-5p/miR-503-5p/miR-... 70

Figure 37. The protein levels of CCND1 and PLIN1 were examined by western blotting during beige adipocyte differentiation. Data are presented as mean ± SEM. *** p 〈0.005,... 71

Figure 38. A proposed model of H19X-encoded miRNAs-mediated regulation of adipocyte precursors under IL-4 stimulation. 72

Figure 39. Model representing the nine hallmarks of aging. 76

Figure 40. Comparative analysis of the most commonly used model systems in aging research. This figure is modified from Figure 1 in Taormina et al. 2019. 77

Figure 41. The schematic diagram illustrates the experimental scheme. (Created with Biorender.com) 86

Figure 42. Pearson's correlation coefficients between gene expressions in each young and aged mouse brain hypothalamus and hippocampus samples are presented as a heat map.... 87

Figure 43. Volcano plot of mRNA sequencing analysis of young and aged mouse brain from (A) hypothalamic and hippocampal (B) tissue. Differentially expressed genes (cut-off... 88

Figure 44. Bar graph showing the number of total detected genes, and specifically detected genes (dark gray) in only hypothalamic or hippocampal tissue. Among the genes detected... 89

Figure 45. Scatter-plot of the expression level changes for a gene set that are both detected in the hypothalamic and hippocampal tissues. Significantly upregulated/downregulated... 90

Figure 46. Top 5 KEGG signaling pathways associated with differentially upregulated (red) and downregulated (blue) genes in hypothalamic tissue and hippocampal tissue. 91

Figure 47. Pie chart shows total genes expressed in bulk mRNA sequencing and the proportion of genes detected by snRNA sequencing from hypothalamic (A) and... 92

Figure 48. Violin plot of a gene set that are analyzed both in bulk mRNA seq and snRNA- seq data, showing the distribution of module scores for astrocytes, ependymocytes,... 93

Figure 49. The bar graph shows the number of genes detected both in bulk RNA-seq and snRNA-seq data in hypothalamic (A) and hippocampal tissue (B). 94

Figure 50. Pearson's correlation of Log2FC for upregulated and downregulated genes in bulk mRNA sequencing (cut-off value: fold change〉 1.5, padj 〈0.05) and snRNA... 96

Figure 51. Pearson's correlation of Log2FC for upregulated and downregulated genes in bulk mRNA sequencing (cut-off value: fold change〉 1.5, padj 〈0.05) and snRNA... 97

Figure 52. Strip chart of differentially expressed genes from bulk RNA-seq (cut-off value indicated as gray dash lines: fold change〉 1.5, padj 〈0.05) and snRNA-seq data (cut-off... 99

Figure 53. TPM log10 of bulk mRNA-seq and TP10k log10 of snRNA-seq for aging- dependent upregulated genes (A) and downregulated gene (B) in hypothalamus. 100

Figure 54. TPM log10 of bulk mRNA-seq and TP10k log10 of snRNA-seq for aging- dependent upregulated genes (A) and downregulated gene (B) in hippocampus. 101

Figure 55. Pearson's correlation coefficients of log2(Count+1) values for all miRNAs expression between each young and aged mouse brain from hypothalamic and hippocampal... 103

Figure 56. (A). The bar graph shows the number of total detected miRNAs and differentially upregulated, downregulated miRNAs (cut off value: fold change〉 1.5, padj... 104

Figure 57. Scatter-plot of miRNA expression level changes in the hippocampal and hypothalamic tissues during aging. Significantly upregulated/downregulated genes (padj 〈... 105

Figure 58. (A) Volcano plot of miRNA sequencing analysis of young and aged mouse brain from hypothalamic tissue. Differentially expressed genes (cut-off value: fold change... 106

Figure 59. (A) Volcano plot of miRNA sequencing analysis of young and aged mouse brain from hippocampal tissue. Differentially expressed genes (cut-off value: fold change... 107

Figure 60. Heatmap of differentially downregulated miRNAs predicted to be target differentially upregulated mRNAs in hypothalamus of mice. 108

Figure 61. Heatmap of differentially upregulated miRNAs predicted to be target differentially downregulated mRNAs in hypothalamus of mice. 109

Figure 62. Heatmap of differentially downregulated miRNAs predicted to be target differentially upregulated mRNAs in hippocampus of mice. 110

Figure 63. Heatmap of differentially upregulated miRNAs predicted to be target differentially downregulated mRNAs in hippocampus of mice. 111

Figure 64. (A) Protein-protein interaction (PPI) analysis of upregulated genes targeted by downregulated miRNAs from hypothalamus. (B) Protein-protein interaction (PPI) analysis... 113

Figure 65. (A) Protein-protein interaction (PPI) analysis of upregulated genes targeted by downregulated miRNAs from hippocampus. (B) Protein-protein interaction (PPI) analysis... 114

Figure 66. KEGG signaling pathways visualized in a network of genes. Dot size for each gene indicates the number of differentially expressed miRNAs expected to target that gene.... 116

Figure 67. KEGG signaling pathways visualized in a network of genes. Dot size for each gene indicates the number of differentially expressed miRNAs expected to target that gene.... 117

Figure 68. KEGG signaling pathways visualized in a network of genes. Dot size for each gene indicates the number of differentially expressed miRNAs expected to target that gene.... 118

Figure 69. KEGG signaling pathways visualized in a network of genes. Dot size for each gene indicates the number of differentially expressed miRNAs expected to target that gene.... 119

Figure 70. The miRNA- target gene network commonly detected in the hypothalamus and hippocampus. Node sizes for target genes ranked by degree method. The network of... 121

Figure 71. Quantification of coagulation factor III levels. (A) Representative images of immunoblot for Coagulation factor III and 110 soluble proteins in the brain from young... 122

초록보기

마이크로 RNA(miRNA)는 전사 후 단계에서 해당 메신저 RNA(mRNA)에 결합하여 유전자 발현을 조절하는 작은 비코딩 RNA 로 표적 mRNA 의 분해, 번역 억제, mRNA 탈아데닐화를 일으킨다. 이전의 증거는 마이크로 RNA 가 조직 발달, 노화, 지방형성, 세포사멸, 세포증식, 세포분화, 암을 포함한 대부분의 생물학적 과정에 관여한다는 것을 나타낸다. 하나의 마이크로 RNA 는 수백에서 수천 개의 표적 유전자의 발현을 조절하며, 반대로 다수의 miRNA 는 단일 유전자를 표적화할 수 있다. 초기 연구는 다양한 유형의 조직이나 세포가 세포 상황에 따라 표적 유전자를 조절하는 다양한 miRNA 풀을 발현한다고 제안했다. 그러나 대규모 miRNA 풀과 그에 상응하는 표적 유전자에 대해 개별적으로 생물학적 실험을 수행하는 것은 불가능하다. 이러한 문제를 해결하기 위해 다양한 세포 조건 하에서 현대의 고처리 RNA 서열분석 기술을 사용하여 다양한 발현을 기반으로 miRNA 표적 예측 방법이 개발되었다. 본 논문은 동일한 세포 또는 조직에서 mRNA 염기서열분석과 small RNA 염기서열분석을 동시에 결합하여 miRNA 매개 유전자 조절 네트워크를 연구하기 위한 두 가지 다른 새로운 접근법에 초점을 맞추고 있다. 먼저, 우리는 제 2 형 사이토카인 IL-4 유도 지방세포 전구세포에서 miRNA 매개 유전자 조절 네트워크를 발견했다. 우리는 전사 인자 KLF4 가 IL-4 자극에 반응하여 지방 세포 전구체에서 H19X 에 암호화된 6 개의 miRNA(miR-322-5p, miR-503-5p, miR-352-3p, miR-450a-5p, miR-450b-5p)의 상향 조절을 유발한다는 것을 발견했다. 이러한 miRNA 는 IL-4 자극시 mRNA 발현에서 381 개의 하향 조절된 유전자를 공유하여 Wnt 신호 전달 경로를 강화했다. Wnt 신호 전달의 활성화는 지방 세포 전구체에서 이러한 클러스터 miRNA 의 발현을 하향 조절하여 Wnt 신호 전달 관련 유전자와 이러한 miRNA 가 이중 음성 피드백 루프를 형성함을 시사한다. 또한, 우리는 miRNA/Wnt 이중 음성 피드백 루프가 IL-4 자극 시 지방세포 전구체의 증식을 감소시킴으로써 지방세포로의 결정(commitment)을 촉진한다는 것을 발견했다. 둘째로, 노화 관련 miRNA 매개 유전자 조절 네트워크를 찾기 위해, 우리는 젊은 쥐 뇌와 나이든 쥐 뇌에서 동일한 시상하부 및 해마 영역의 mRNA 와 microRNA 를 동시에 분석했다. 우리는 해마와 시상하부 조직 모두에서 다르게 발현된 miRNA 매개 유전자 조절을 분석했고, 이러한 miRNA 가 노화된 쥐 뇌의 보체 및 응고 캐스케이드 경로에 관여할 수 있다는 것을 발견했다. 따라서 동일한 조직 또는 세포에서 mRNA 염기서열분석과 small RNA 염기서열분석의 조합을 동시에 사용하여 miRNA 매개 유전자 조절 네트워크를 식별하기 위한 두 가지 다른 접근 방식을 도입하였다.