scholarly journals Whole-transcriptome sequencing reveals a vernalization-related ceRNA regulatory network in chinese cabbage (Brassica campestris L. ssp. pekinensis)

BMC Genomics ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Fengyan Shi ◽  
Hezi Xu ◽  
Chuanhong Liu ◽  
Chong Tan ◽  
Jie Ren ◽  
...  
Keyword(s):  
Flowering Time ◽  
Chinese Cabbage ◽  
Transcriptome Sequencing ◽  
Molecular Mechanisms ◽  
Zinc Finger Protein ◽  
Floral Organ ◽  
Organ Formation ◽  
Whole Transcriptome Sequencing ◽  
Non Coding Rnas ◽  
Whole Transcriptome

Abstract Background The transition from vegetative growth to reproductive growth involves various pathways. Vernalization is a crucial process for floral organ formation and regulation of flowering time that is widely utilized in plant breeding. In this study, we aimed to identify the global landscape of mRNAs, microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and circular RNAs (circRNAs) related to vernalization in Chinese cabbage. These data were then used to construct a competitive endogenous RNA (ceRNA) network that provides valuable information to better understand the vernalization response. Results In this study, seeds sampled from the Chinese cabbage doubled haploid (DH) line ‘FT’ with or without vernalization treatment were used for whole-transcriptome sequencing. A total of 2702 differentially expressed (DE) mRNAs, 151 DE lncRNAs, 16 DE circRNAs, and 233 DE miRNAs were identified in the vernalization-treated seeds. Various transcription factors, such as WRKY, MYB, NAC, bHLH, MADS-box, zinc finger protein CONSTANS-like gene, and B3 domain protein, and regulatory proteins that play important roles in the vernalization pathway were identified. Additionally, we constructed a vernalization-related ceRNA–miRNA–target gene network and obtained 199 pairs of ceRNA relationships, including 108 DEmiRNA‒DEmRNA, 67 DEmiRNA‒DElncRNA, and 12 DEmiRNA‒DEcircRNA interactions, in Chinese cabbage. Furthermore, several important vernalization-related genes and their interacting lncRNAs, circRNAs, and miRNAs, which are involved in the regulation of flowering time, floral organ formation, bolting, and flowering, were identified. Conclusions Our results reveal the potential mRNA and non-coding RNAs involved in vernalization, providing a foundation for further studies on the molecular mechanisms underlying vernalization in Chinese cabbage.

Whole transcriptome sequencing and analysis of jute (Corchorus olitorius) fiber cell

2020 ◽  
Vol 26 (02) ◽  
pp. 2204-2010
Author(s):  
R. Ahmed ◽  
M. S. Hossain ◽  
S. M. T. Kabir ◽  
B. Ahmed ◽  
R. Hasan ◽  
...  
Keyword(s):  
Transcriptome Sequencing ◽  
Molecular Mechanisms ◽  
De Novo ◽  
Fiber Quality ◽  
Fiber Formation ◽  
Fiber Cell ◽  
Jute Fiber ◽  
Fiber Cells ◽  
Whole Transcriptome Sequencing ◽  
Whole Transcriptome

The demand for products made by jute fiber is increasing day-by-day for its biodegradable nature regarding environmental concerns. To gain this opportunity correctly, the development of high yielding and improved fiber quality jute variety is essential for ensuring diversified use of jute fiber. The major developed jute varieties, so far, are the outcome of conventional breeding which is a very time consuming process. Improvement of fiber quality and yield through genetic modification approach is highly desired. However, very little is known about the molecular mechanism behind fiber cell formation in jute. Here, we attempted to do the whole transcriptome sequencing of fiber cell RNA to reveal the molecular mechanisms were happening in the premises of jute fiber cells. We performed RNA isolation from jute fiber cells followed by whole transcriptome sequencing. De novo assembly of sequencing reads resulted in 21,294 contigs representing the transcriptome size of 4.07 Mbp. Gene ontology analysis assigned 14144 genes (52.21%) for biological process, 8399 genes (31%) involved in molecular function and 4549 genes (16.79%) for cellular component. Total 66 fiber related genes were found from reference based annotation where 9 genes involved in fiber cell initiation and elongation and the rest 57 for secondary cell wall development. We presented the overall view of the jute fiber cell transcriptome in this study. These findings help for understanding the molecular basis of fiber formation in jute plant.

scholarly journals Whole transcriptome sequencing reveals that non-coding RNAs are related to embryo morphogenesis and development in rabbits

Genomics ◽  
2020 ◽  
Vol 112 (3) ◽  
pp. 2203-2212 ◽  
Author(s):  
Liangde Kuang ◽  
Min Lei ◽  
Congyan Li ◽  
Zhiqiang Guo ◽  
Yongjun Ren ◽  
...  
Keyword(s):  
Transcriptome Sequencing ◽  
Whole Transcriptome Sequencing ◽  
Non Coding Rnas ◽  
Whole Transcriptome

Mammary-type Myofibroblastoma with Leiomyomatous Differentiation: A Rare Variant with Potential Pitfalls

2021 ◽  
pp. 106689692110313
Author(s):  
Alexander M. Strait ◽  
Julia A. Bridge ◽  
Anthony J. Iafrate ◽  
Marilyn M. Li ◽  
Feng Xu ◽  
...  
Keyword(s):  
Adipose Tissue ◽  
Transcriptome Sequencing ◽  
Smooth Muscle Actin ◽  
The Body ◽  
Muscle Actin ◽  
Mature Adipose Tissue ◽  
Spindle Cells ◽  
Whole Transcriptome Sequencing ◽  
Whole Transcriptome

Myofibroblastoma is a rare, benign stromal tumor with a diverse morphologic spectrum. Mammary-type myofibroblastoma (MTMF) is the extra-mammary counterpart of this neoplasm and its occurrence throughout the body has become increasingly recognized. Similar morphologic variations of MTMF have now been described which mirror those seen in the breast. We describe a case of intra-abdominal MTMF composed of short fascicles of eosinophilic spindle cells admixed with mature adipose tissue. The spindle cells stained diffusely positive for CD34, desmin, smooth muscle actin, and h-caldesmon by immunohistochemistry. Concurrent loss of RB1 (13q14) and 13q34 loci were confirmed by fluorescence in situ hybridization whereas anchored multiplex PCR and whole transcriptome sequencing did not reveal any pathognomonic fusions suggesting an alternative diagnosis. To the best of our knowledge this is the first documented case of leiomyomatous variant of MTMF.

The prognosis of gastric adenocarcinoma depends on the crosstalk between immune profiles and tumor genomic alterations.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 4035-4035
Author(s):  
Deqiang Wang ◽  
Xiaofeng Chen ◽  
Yaping Xu ◽  
Yuange He ◽  
Lifeng Li ◽  
...  
Keyword(s):  
Gastric Adenocarcinoma ◽  
Transcriptome Sequencing ◽  
Clonal Expansion ◽  
Genomic Alterations ◽  
M1 Macrophages ◽  
Mutual Correlation ◽  
Cell Counts ◽  
M1 Macrophage ◽  
Whole Transcriptome Sequencing ◽  
Whole Transcriptome

4035 Background: Gastric adenocarcinoma (GAC) is with a complex microenvironment of tumor cells. A better understanding of the immune landscape of GACs may lead to the improved treatment strategies with ICIs. Methods: To determine whether the molecular characteristics can serve in prognostic stratification of GACs, tumor tissue and blood samples were collected from 231 GAC patients. The median follow-up time was 34 months. The TCR profile was determined by TCR-β CDR3 sequencing while mutation and gene expression profiles were determined by whole exon and whole transcriptome sequencing, respectively. Tumour-infiltrating immune cells were characterized using immunofluorescence (IF) staining. Results: The results showed the OS of patients with high levels of TCR clonality (TCR clonal expansion) was significantly improved compared with patients with low levels (HR = 1.80 and 2.22, p = 0.022 and 0.008, respectively) in the whole group and in the subgroup of patients with stages IB to III disease. Furthermore, low local clonality was an independent risk factor for OS (adjusted-HR = 1.68 and 1.95, p = 0.049 and 0.029, respectively). Thus, TCR clonal expansion in tumour tissue had a strong prognostic value for GAC patients, independent of clinicopathological factors. Based on whole exon and whole transcriptome sequencing, RNF43/FBXW7/ARID2 mutations and local TCR clonality jointly impacted prognosis (p < 0.001), and functional changes in corresponding Wnt pathway/Notch pathway/SWI/SNF complex characterized a GAC subset with enhanced tumour immunogenicity and TCR clonal expansion. TCR CDR3 sequence similarity comparisons yielded clusters of TCR clones of likely similar functions. The most expansive TCR clusters negatively correlated with the percentage of subclonal mutations (Pearson r = -0.8183, p < 0.001), indicating that tumors with less genomic heterogeneity might induce a greater immune response. By IF staining and mutual correlation analysis, only M1 macrophages showed a significant positive correlation with local TCR clonality for epithelia, stroma, and total cell counts. Tumors were categorized according to the density of M1 macrophages, M1 macrophage infiltrated subtype was associated with favorable OS (p = 0.040 and 0.043) and its combination with the local TCR clonality improved prognosis stratification (p < 0.001). Finally, the scoring by local TCR clonality, RNF43/FBXW7/ARID2 mutations and M1 infiltration determined the best prognosis (p < 0.001). Conclusions: TCR profiles were associated with genomic alterations and may serve as a prognostic biomarker for GACs. A multi-omic model including TCR profiles might produce an improved stratification for treatments and outcomes.

Analysis of mRNAs and ncRNAs and Prediction Competing Endogenous RNA Networks in Colorectal Cancer Chemo-Resistance by Whole-Transcriptome Sequencing

2020 ◽  
Author(s):  
Fei Yao ◽  
Chuanren Zhou ◽  
Qiyou Huang ◽  
Xiaoying Huang ◽  
Jie Chen ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Drug Resistance ◽  
Cell Lines ◽  
Transcriptome Sequencing ◽  
Regulatory Networks ◽  
Parental Cell ◽  
Resistant Cell ◽  
Competing Endogenous Rna ◽  
Whole Transcriptome Sequencing ◽  
Whole Transcriptome

Abstract Background: Chemo-resistance is a major clinical obstacle to the treatment of colorectal cancer (CRC), mRNAs and non-coding RNAs (ncRNAs) have been reported to modulate the development of chemo-resistance. However, the profiles of mRNAs and ncRNAs as well as competing endogenous RNA (ceRNA) networks in CRC chemo-resistance are still unclear, and whether different drug resistance of CRC have the same mechanisms also needs to be explored. This study aims to uncover the expression of mRNAs and ncRNAs in parental cell lines and different chemo-resistant cell lines, and construct ceRNA regulatory networks by whole-transcriptome sequencing.Methods: The expression of mRNAs and ncRNAs in parental cell lines and drug-resistant cell lines were identified by whole-transcriptome sequencing and bioinformatics methods.Results: A total of 1779 mRNAs, 64 miRNAs, 11 circRNAs and 295 lncRNAs were common differentially expressed in two different chemo-resistant cell lines when compared with the control. In addition, 5,767 lncRNA-miRNA-mRNA relationship pairs and 47 circRNA-miRNA-mRNA pathways were constructed according to ceRNA regulatory rules, in which AC109322.2-hsa-miR-371a-5p-BTNL3 and hsacirc_027876-hsa-miR-582-3p-FREM1 were identified as the most potential ceRNA networks involved in drug resistance to CRC. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis of two ceRNA regulatory networks showed that the TNF signaling pathway may be crucial in the process of CRC drug resistance.Conclusions: A large number of mRNAs and ncRNAs in chemo-resistant cell lines were different expressed, which may play pivotal roles in development of drug resistance through the ceRNA regulatory network. This study may improve our understanding of the underlying mechanisms and provide a promising therapeutic strategy for CRC chemo-resistance.

scholarly journals Whole-exome and whole-transcriptome sequencing of canine mammary gland tumors

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Ka-Kyung Kim ◽  
Byung-Joon Seung ◽  
Dohyun Kim ◽  
Hee-Myung Park ◽  
Sejoon Lee ◽  
...  
Keyword(s):  
Mammary Gland ◽  
Transcriptome Sequencing ◽  
Mammary Gland Tumors ◽  
Whole Exome ◽  
Whole Transcriptome Sequencing ◽  
Whole Transcriptome ◽  
Canine Mammary Gland

Abstract B93: Gene fusions detected by whole transcriptome sequencing of lung adenocarcinoma.

2011 ◽  
Author(s):  
Takashi Kohno ◽  
Hitoshi Ichikawa ◽  
Yasushi Totoki ◽  
Kazuki Yasuda ◽  
Masaki Hiramoto ◽  
...  
Keyword(s):  
Lung Adenocarcinoma ◽  
Transcriptome Sequencing ◽  
Gene Fusions ◽  
Whole Transcriptome Sequencing ◽  
Whole Transcriptome
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