scholarly journals Long Intergenic Non-Coding RNAs in the Mammary Parenchyma and Fat Pad of Pre-Weaning Heifer Calves: Identification and Functional Analysis

Animals ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 1268
Author(s):  
Shengchao Zhang ◽  
Sibtain Ahmad ◽  
Yuxia Zhang ◽  
Guohua Hua ◽  
Jianming Yi
Keyword(s):  
Mammary Gland ◽  
Crude Protein ◽  
Regulatory Mechanism ◽  
Differentially Expressed ◽  
Milk Replacer ◽  
Rna Seq ◽  
Fat Pad ◽  
Mammary Fat Pad ◽  
Non Coding Rnas ◽  
Gland Development

Enhanced plane of nutrition at pre-weaning stage can promote the development of mammary gland especially heifer calves. Although several genes are involved in this process, long intergenic non-coding RNAs (lincRNAs) are regarded as key regulators in the regulated network and are still largely unknown. We identified and characterized 534 putative lincRNAs based on the published RNA-seq data, including heifer calves in two groups: fed enhanced milk replacer (EH, 1.13 kg/day, including 28% crude protein, 25% fat) group and fed restricted milk replacer (R, 0.45 kg/day, including 20% crude protein, 20% fat) group. Sub-samples from the mammary parenchyma (PAR) and mammary fat pad (MFP) were harvested from heifer calves. According to the information of these lincRNAs’ quantitative trait loci (QTLs), the neighboring and co-expression genes were used to predict their function. By comparing EH vs R, 79 lincRNAs (61 upregulated, 18 downregulated) and 86 lincRNAs (54 upregulated, 32 downregulated) were differentially expressed in MFP and PAR, respectively. In MFP, some differentially expressed lincRNAs (DELs) are involved in lipid metabolism pathways, while, in PAR, among of DELs are involved in cell proliferation pathways. Taken together, this study explored the potential regulatory mechanism of lincRNAs in the mammary gland development of calves under different planes of nutrition.

scholarly journals RNA-Seq Reveals the Expression Profiles of Long Non-Coding RNAs in Lactating Mammary Gland from Two Sheep Breeds with Divergent Milk Phenotype

Animals ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. 1565
Author(s):  
Zhiyun Hao ◽  
Yuzhu Luo ◽  
Jiqing Wang ◽  
Jiang Hu ◽  
Xiu Liu ◽  
...  
Keyword(s):  
Mammary Gland ◽  
Signaling Pathway ◽  
Target Genes ◽  
Mammary Epithelial Cells ◽  
Expression Profiles ◽  
Wnt Signaling Pathway ◽  
Mammary Epithelial ◽  
Differentially Expressed ◽  
Rna Seq ◽  
Non Coding Rnas

Long non-coding RNAs (lncRNAs) are a kind of non-coding RNA with >200 nucleotides in length. Some lncRNAs have been proven to have clear regulatory functions in many biological processes of mammals. However, there have been no reports on the roles of lncRNAs in ovine mammary gland tissues. In the study, the expression profiles of lncRNAs were studied using RNA-Seq in mammary gland tissues from lactating Small-Tailed Han (STH) ewes and Gansu Alpine Merino (GAM) ewes with different milk yield and ingredients. A total of 1894 lncRNAs were found to be expressed. Compared with the GAM ewes, the expression levels of 31 lncRNAs were significantly up-regulated in the mammary gland tissues of STH ewes, while 37 lncRNAs were remarkably down-regulated. Gene Ontogeny (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis found that the target genes of differentially expressed lncRNAs were enriched in the development and proliferation of mammary epithelial cells, morphogenesis of mammary gland, ErbB signaling pathway, and Wnt signaling pathway. Some miRNA sponges of differentially expressed lncRNAs, reported to be associated with lactation and mammary gland morphogenesis, were found in a lncRNA-miRNA network. This study reveals comprehensive lncRNAs expression profiles in ovine mammary gland tissues, thereby providing a further understanding of the functions of lncRNAs in the lactation and mammary gland development of sheep.

scholarly journals Evidence That the Mammary Fat Pad Mediates the Action of Growth Hormone in Mammary Gland Development

Endocrinology ◽  
1998 ◽  
Vol 139 (2) ◽  
pp. 659-662 ◽  
Author(s):  
Paul D. Walden ◽  
Weifeng Ruan ◽  
Mark Feldman ◽  
David L. Kleinberg
Keyword(s):  
Growth Hormone ◽  
Mammary Gland ◽  
Mammary Gland Development ◽  
Fat Pad ◽  
Mammary Fat Pad ◽  
Gland Development

scholarly journals MicroRNA expression profile in bovine mammary gland parenchyma infected by coagulase-positive or coagulase-negative staphylococci

2021 ◽  
Vol 52 (1) ◽  
Author(s):  
Emilia Bagnicka ◽  
Ewelina Kawecka-Grochocka ◽  
Klaudia Pawlina-Tyszko ◽  
Magdalena Zalewska ◽  
Aleksandra Kapusta ◽  
...  
Keyword(s):  
Mammary Gland ◽  
Immune System ◽  
Differentially Expressed ◽  
Bacterial Invasion ◽  
Coagulase Negative Staphylococci ◽  
Cellular Processes ◽  
Differentially Expressed Mirnas ◽  
Non Coding Rnas ◽  
Coagulase Positive Staphylococci ◽  
Generation Sequencing

AbstractMicroRNAs (miRNAs) are short, non-coding RNAs, 21–23 nucleotides in length which are known to regulate biological processes that greatly impact immune system activity. The aim of the study was to compare the miRNA expression in non-infected (H) mammary gland parenchyma samples with that of glands infected with coagulase-positive staphylococci (CoPS) or coagulase-negative staphylococci (CoNS) using next-generation sequencing. The miRNA profile of the parenchyma was found to change during mastitis, with its profile depending on the type of pathogen. Comparing the CoPS and H groups, 256 known and 260 potentially new miRNAs were identified, including 32 that were differentially expressed (p ≤ 0.05), of which 27 were upregulated and 5 downregulated. Comparing the CoNS and H groups, 242 known and 171 new unique miRNAs were identified: 10 were upregulated (p ≤ 0.05), and 2 downregulated (p ≤ 0.05). In addition, comparing CoPS with H and CoNS with H, 5 Kyoto Encyclopedia of Genes and Genomes pathways were identified; in both comparisons, differentially-expressed miRNAs were associated with the bacterial invasion of epithelial cells and focal adhesion pathways. Four gene ontology terms were identified in each comparison, with 2 being common to both immune system processes and signal transduction. Our results indicate that miRNAs, especially miR-99 and miR-182, play an essential role in the epigenetic regulation of a range of cellular processes, including immunological systems bacterial growth in dendritic cells and disease pathogenesis (miR-99), DNA repair and tumor progression (miR-182).

scholarly journals Transcriptomic and ChIP-seq Integrative Analysis Reveals Important Roles of Epigenetically Regulated lncRNAs in Placental Development in Meishan Pigs

Genes ◽  
2020 ◽  
Vol 11 (4) ◽  
pp. 397
Author(s):  
Dadong Deng ◽  
Xihong Tan ◽  
Kun Han ◽  
Ruimin Ren ◽  
Jianhua Cao ◽  
...  
Keyword(s):  
Differentially Expressed ◽  
Rna Seq ◽  
Sequencing Data ◽  
Placental Development ◽  
Cytoskeleton Organization ◽  
New Class ◽  
Chromatin Immunoprecipitation Sequencing ◽  
Non Coding Rnas ◽  
Two Stages ◽  
Regulatory Functions

The development of the placental fold, which increases the maternal–fetal interacting surface area, is of primary importance for the growth of the fetus throughout the whole pregnancy. However, the mechanisms involved remain to be fully elucidated. Increasing evidence has revealed that long non-coding RNAs (lncRNAs) are a new class of RNAs with regulatory functions and could be epigenetically regulated by histone modifications. In this study, 141 lncRNAs (including 73 up-regulated and 68 down-regulated lncRNAs) were identified to be differentially expressed in the placentas of pigs during the establishment and expanding stages of placental fold development. The differentially expressed lncRNAs and genes (DElncRNA-DEgene) co-expression network analysis revealed that these differentially expressed lncRNAs (DElncRNAs) were mainly enriched in pathways of cell adhesion, cytoskeleton organization, epithelial cell differentiation and angiogenesis, indicating that the DElncRNAs are related to the major events that occur during placental fold development. In addition, we integrated the RNA-seq (RNA sequencing) data with the ChIP-seq (chromatin immunoprecipitation sequencing) data of H3K4me3/H3K27ac produced from the placental samples of pigs from the two stages (gestational days 50 and 95). The analysis revealed that the changes in H3K4me3 and/or H3K27ac levels were significantly associated with the changes in the expression levels of 37 DElncRNAs. Furthermore, several H3K4me3/H3K27ac-lncRNAs were characterized to be significantly correlated with genes functionally related to placental development. Thus, this study provides new insights into understanding the mechanisms for the placental development of pigs.

Abstract 286: Long Noncoding RNAs Are Differentially Expressed in Heart Failure

2012 ◽  
Vol 111 (suppl_1) ◽  
Author(s):  
Emma L Robinson ◽  
Syed Haider ◽  
Hillary Hei ◽  
Richard T Lee ◽  
Roger S Foo
Keyword(s):  
Gene Expression ◽  
Heart Failure ◽  
Significant Proportion ◽  
Differentially Expressed ◽  
Rna Seq ◽  
Control Of Gene Expression ◽  
Failing Heart ◽  
Novel Transcripts ◽  
Non Coding Rnas

Heart failure comprises of clinically distinct inciting causes but a consistent pattern of change in myocardial gene expression supports the hypothesis that unifying biochemical mechanisms underlie disease progression. The recent RNA-seq revolution has enabled whole transcriptome profiling, using deep-sequencing technologies. Up to 70% of the genome is now known to be transcribed into RNA, a significant proportion of which is long non-coding RNAs (lncRNAs), defined as polyribonucleotides of ≥200 nucleotides. This project aims to discover whether the myocardium expression of lncRNAs changes in the failing heart. Paired end RNA-seq from a 300-400bp library of ‘stretched’ mouse myocyte total RNA was carried out to generate 76-mer sequence reads. Mechanically stretching myocytes with equibiaxial stretch apparatus mimics pathological hypertrophy in the heart. Transcripts were assembled and aligned to reference genome mm9 (UCSC), abundance determined and differential expression of novel transcripts and alternative splice variants were compared with that of control (non-stretched) mouse myocytes. Five novel transcripts have been identified in our RNA-seq that are differentially expressed in stretched myocytes compared with non-stretched. These are regions of the genome that are currently unannotated and potentially are transcribed into non-coding RNAs. Roles of known lncRNAs include control of gene expression, either by direct interaction with complementary regions of the genome or association with chromatin remodelling complexes which act on the epigenome.Changes in expression of genes which contribute to the deterioration of the failing heart could be due to the actions of these novel lncRNAs, immediately suggesting a target for new pharmaceuticals. Changes in the expression of these novel transcripts will be validated in a larger sample size of stretched myocytes vs non-stretched myocytes as well as in the hearts of transverse aortic constriction (TAC) mice vs Sham (surgical procedure without the aortic banding). In vivo investigations will then be carried out, using siLNA antisense technology to silence novel lncRNAs in mice.

scholarly journals Machine learning reduced gene/non-coding RNA features that classify Schizophrenia patients accurately and highlight insightful gene clusters

2020 ◽  
Author(s):  
Yichuan Liu ◽  
Hui-Qi Qu ◽  
Xiao Chang ◽  
Lifeng Tian ◽  
Joseph Glessner ◽  
...  
Keyword(s):  
Machine Learning ◽  
Neurodevelopmental Disorder ◽  
Wnt Signaling Pathway ◽  
Gene Clusters ◽  
Differentially Expressed ◽  
Cell Junction ◽  
Mrna Levels ◽  
Rna Seq ◽  
Non Coding Rna ◽  
Non Coding Rnas

AbstractSchizophrenia (SCZ) is a chronic and severely disabling neurodevelopmental disorder that affects people worldwide. RNA-seq has been a powerful method to detect the differentially expressed genes/non-coding RNAs in patients; however, due to overfitting problems differentially expressed targets (DETs) cannot be used properly as biomarkers. In this study, dorsolateral prefrontal cortex (dlpfc) RNA-seq data from 254 individuals’ was obtained from the CommonMind consortium and analyzed with machine learning methods, including random forest, forward feature selection (ffs), and factor analysis, to reduce the numbers of gene/non-coding RNA feature vectors to overcome overfitting problem and explore involved functional clusters. In 2-fold shuffle testing, the average predictive accuracy for SCZ patients was 67% based on coding genes, and the 96% based on long non-coding RNAs (lncRNAs). Coding genes were further clustered into 14 factors and lncRNAs were clustered into 45 factors to represent the underlying features. The largest contribution factor for coding genes contains number of genes critical in neurodevelopment and previously reported in relation with various brain disorders. Genomic loci of lncRNAs were more insightful, enriched for genes critical in synapse function (p=7.3E-3), cell junction (p=0.017), neuron differentiation (p=8.3E-3), phosphorylation (8.2E-4), and involving the Wnt signaling pathway (p=0.029). Taken together, machine learning is a powerful algorithm to reduce functional biomarkers in SCZ patients. The lncRNAs capture the characteristics of SCZ tissue more accurately than mRNA as the formers regulate every level of gene expression, not limited to mRNA levels.

scholarly journals Identification of Novel lncRNAs Differentially Expressed in Placentas of Chinese Ningqiang Pony and Yili Horse Breeds

Animals ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 119
Author(s):  
Yabin Pu ◽  
Yanli Zhang ◽  
Tian Zhang ◽  
Jianlin Han ◽  
Yuehui Ma ◽  
...  
Keyword(s):  
Body Size ◽  
Limb Development ◽  
Small Body ◽  
Expression Patterns ◽  
Differentially Expressed ◽  
Myoblast Differentiation ◽  
Rna Seq ◽  
Skeletal Myoblast ◽  
Control Procedures ◽  
Non Coding Rnas

As a nutrient sensor, the placenta plays a key role in regulating fetus growth and development. Long non-coding RNAs (lncRNAs) have been shown to regulate growth-related traits. However, the biological function of lncRNAs in horse placentas remains unclear. To compare the expression patterns of lncRNAs in the placentas of the Chinese Ningqiang (NQ) and Yili (YL) breeds, we performed a transcriptome analysis using RNA sequencing (RNA-seq) technology. NQ is a pony breed with an average adult height at the withers of less than 106 cm, whereas that of YL is around 148 cm. Based on 813 million high-quality reads and stringent quality control procedures, 3011 transcripts coding for 1464 placental lncRNAs were identified and mapped to the horse reference genome. We found 107 differentially expressed lncRNAs (DELs) between NQ and YL, including 68 up-regulated and 39 down-regulated DELs in YL. Six (TBX3, CACNA1F, EDN3, KAT5, ZNF281, TMED2, and TGFB1) out of the 233 genes targeted by DELs were identified as being involved in limb development, skeletal myoblast differentiation, and embryo development. Two DELs were predicted to target the TBX3 gene, which was found to be under strong selection and associated with small body size in the Chinese Debao pony breed. This finding suggests the potential functional significance of placental lncRNAs in regulating horse body size.

Non-coding RNAs in Mammary Gland Development and Disease

2015 ◽  
pp. 121-153 ◽  
Author(s):  
Gurveen K. Sandhu ◽  
Michael J. G. Milevskiy ◽  
Wesley Wilson ◽  
Annette M. Shewan ◽  
Melissa A. Brown
Keyword(s):  
Mammary Gland ◽  
Mammary Gland Development ◽  
Non Coding Rnas ◽  
Gland Development

scholarly journals Prolactin affects leptin action in the bovine mammary gland via the mammary fat pad

2006 ◽  
Vol 191 (2) ◽  
pp. 407-413 ◽  
Author(s):  
Y Feuermann ◽  
S J Mabjeesh ◽  
L Niv-Spector ◽  
D Levin ◽  
A Shamay
Keyword(s):  
Mammary Gland ◽  
Epithelial Cells ◽  
Endocrine System ◽  
Metabolic Adaptation ◽  
Bovine Mammary Gland ◽  
Fat Pad ◽  
Metabolic Hormones ◽  
Mammary Fat Pad ◽  
Nutrient Partitioning ◽  
Energy Consuming

One of the roles of the endocrine system is to synchronize mammary function. Hormones, such as estrogen, progesterone, and prolactin act directly on the mammary gland. Metabolic hormones, such as GH, glucocorticoids, insulin, and leptin are responsible for coordinating the body’s response to metabolic homeostasis. Leptin has been shown to be an important factor in regulating the metabolic adaptation of nutrient partitioning during the energy-consuming processes of lactation. In the present study, we show that leptin is secreted from the mammary fat, and is regulated by prolactin. The expression of α-casein in a co-culture of epithelial cells and fat explants was enhanced by prolactin compared with that in epithelial cells cultured alone. Leptin antagonist abolished the effect of leptin on α-casein expression in mammary gland explants when exogenous leptin was not present in the medium. This finding supports our hypothesis that the antagonist abolishes the action of endogenous leptin secreted by the mammary adipocytes. These results lead us to the hypothesis that prolactin and leptin act in the bovine mammary gland, via mammary fat pad/adipocytes.

scholarly journals Identification of regulatory networks and hub genes controlling mammary gland development and lactation in dairy goats during the late lactation, dry period, and late gestation stages

2020 ◽  
Author(s):  
Rong Xuan ◽  
Tianle Chao ◽  
Xiaodong Zhao ◽  
Aili Wang ◽  
Yunpeng Chu ◽  
...  
Keyword(s):  
Transcription Factors ◽  
Mammary Gland ◽  
Differentially Expressed Genes ◽  
Mammary Gland Development ◽  
Late Gestation ◽  
Differentially Expressed ◽  
Dry Period ◽  
Mammary Gland Tissue ◽  
Three Stages ◽  
Gland Development

Abstract Background From the late lactation to late gestation stages, the mammary gland tissue of goats undergoes a process from involution to remodeling and then to high differentiation of mammary gland tissue. From the perspective of lactation, this is a continuous development process of the goat mammary gland from the termination of lactation to the restoration of lactation. We performed transcriptome sequencing on goat mammary gland tissues at three mammary gland developmental stages to screen for differentially expressed genes that affect mammary gland development and the physiological process of lactation and mapped their expression profiles in three stages. The objective of this study is to reveal the expression characteristics of these genes and their potential function during mammary gland development and lactation. Results We identified 1,381 differentially expressed genes in the mammary gland during three stages and found that the expression level of genes encoding casein, such as alpha-s1-casein (CSN1S1), alpha-s2-casein (CSN1S2), beta-casein (CSN2), and kappa-casein (CSN3), and alpha-lactalbumin (LALBA) were higher in mammary gland tissues during the late lactation stage and late gestation stage than those during the dry period. In addition, we constructed six functional networks related to differentially expressed genes and found that these genes are closely related to mammary gland growth and development, apoptosis, immunity, substance transport, biosynthesis, and metabolism. Finally, we identified 35 differentially expressed transcription factors, which were classified into 16 families, and predicted that transcription factors of the basic leucine zipper domain (bZIP) family and basic helix-loop-helix (bHLH) family regulated the expression levels of genes related to mammary gland development and lactation. Conclusions Among the late lactation, dry period, and late gestation stages, there are differences in the expression levels of genes related to mammary gland growth and development, apoptosis, immunity, basic substance transport, biosynthesis, and metabolism in mammary gland tissues. Some genes in the same family or with similar functions have similar expression patterns. These differentially expressed genes or transcription factors work synergistically to participate in the regulation of mammary gland development and the physiological process of lactation.

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