scholarly journals SPF45/RBM17-dependent, but not U2AF-dependent, splicing in a distinct subset of human short introns

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Kazuhiro Fukumura ◽  
Rei Yoshimoto ◽  
Luca Sperotto ◽  
Hyun-Seo Kang ◽  
Tetsuro Hirose ◽  
...  
Keyword(s):  
Transcriptome Sequencing ◽  
Splicing Factor ◽  
Nuclear Proteins ◽  
Distinct Subset ◽  
U2 Snrnp ◽  
Whole Transcriptome Sequencing ◽  
Snrnp Protein ◽  
Constitutive Splicing ◽  
Splicing Regulator ◽  
Whole Transcriptome

AbstractHuman pre-mRNA introns vary in size from under fifty to over a million nucleotides. We searched for essential factors involved in the splicing of human short introns by screening siRNAs against 154 human nuclear proteins. The splicing activity was assayed with a model HNRNPH1 pre-mRNA containing short 56-nucleotide intron. We identify a known alternative splicing regulator SPF45 (RBM17) as a constitutive splicing factor that is required to splice out this 56-nt intron. Whole-transcriptome sequencing of SPF45-deficient cells reveals that SPF45 is essential in the efficient splicing of many short introns. To initiate the spliceosome assembly on a short intron with the truncated poly-pyrimidine tract, the U2AF-homology motif (UHM) of SPF45 competes out that of U2AF65 (U2AF2) for binding to the UHM-ligand motif (ULM) of the U2 snRNP protein SF3b155 (SF3B1). We propose that splicing in a distinct subset of human short introns depends on SPF45 but not U2AF heterodimer.

scholarly journals SPF45/RBM17-dependent, but not U2AF-dependent, splicing in human short introns

2019 ◽  
Author(s):  
Kazuhiro Fukumura ◽  
Rei Yoshimoto ◽  
Luca Sperotto ◽  
Hyun-Seo Kang ◽  
Tetsuro Hirose ◽  
...  
Keyword(s):  
Transcriptome Sequencing ◽  
Splicing Factor ◽  
Nuclear Proteins ◽  
Distinct Subset ◽  
U2 Snrnp ◽  
Whole Transcriptome Sequencing ◽  
Snrnp Protein ◽  
Splicing Regulator ◽  
Biochemical Analyses ◽  
Whole Transcriptome

Human pre-mRNA introns vary in size from under fifty to over a million nucleotides. We searched for essential factors specifically involved in the splicing of human short introns by screening siRNAs against 154 human nuclear proteins for activity on a model short 56-nucleotide intron-containing HNRNPH1 pre-mRNA. We identified a known alternative splicing regulator SPF45 (RBM17) as a general splicing factor that is essential to splice out this 56-nt intron. Whole-transcriptome sequencing of SPF45-deficient cells revealed that SPF45 is specifically required for the efficient splicing of many short introns. Our crosslinking and biochemical analyses demonstrate that SPF45 specifically replaces the U2AF heterodimer on the truncated poly-pyrimidine tracts in these short intron. To initiate splicing, the U2AF-homology motif (UHM) of the replaced SPF45 interacts with the UHM-ligand motif (ULM) of the U2 snRNP protein SF3b155 (SF3B1). We propose that splicing in a distinct subset of human short introns depends on SPF45 but not U2AF heterodimer.

scholarly journals SPF45/RBM17-dependent, but not U2AF-dependent, splicing in human short introns

2020 ◽  
Author(s):  
Kazuhiro Fukumura ◽  
Rei Yoshimoto ◽  
Luca Sperotto ◽  
Hyun-Seo Kang ◽  
Tetsuro Hirose ◽  
...  
Keyword(s):  
Transcriptome Sequencing ◽  
Splicing Factor ◽  
Nuclear Proteins ◽  
Distinct Subset ◽  
U2 Snrnp ◽  
Whole Transcriptome Sequencing ◽  
Snrnp Protein ◽  
Splicing Regulator ◽  
Biochemical Analyses ◽  
Whole Transcriptome

Abstract Human pre-mRNA introns vary in size from under fifty to over a million nucleotides. We searched for essential factors specifically involved in the splicing of human short introns by screening siRNAs against 154 human nuclear proteins for activity on a model short 56-nucleotide intron-containing HNRNPH1 pre-mRNA. We identified a known alternative splicing regulator SPF45 (RBM17) as a general splicing factor that is essential to splice out this 56-nt intron. Whole-transcriptome sequencing of SPF45-deficient cells revealed that SPF45 is specifically required for the efficient splicing of many short introns. Our crosslinking and biochemical analyses demonstrate that SPF45 specifically replaces the U2AF heterodimer on the truncated poly-pyrimidine tracts in these short intron. To initiate splicing, the U2AF-homology motif (UHM) of the replaced SPF45 interacts with the UHM-ligand motif (ULM) of the U2 snRNP protein SF3b155 (SF3B1). We propose that splicing in a distinct subset of human short introns depends on SPF45 but not U2AF heterodimer.

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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