AI Article Synopsis
Article Abstract
A nearly full-length rat pepsinogen cDNA was isolated from a rat gastric mucosa cDNA library and its nucleotide sequence was determined. The cDNA comprises 1370 base pairs (bp), including the 5'-non-coding region (60 bp), the coding nucleotide sequence (1176 bp) and the 3'-non-coding region (131 bp). The predicted amino acid sequence of rat prepepsinogen (392 residues) contains a 16-residue signal sequence followed by the pepsionogen moiety of 376 residues. Rat pepsinogen has an amino acid composition characteristic of C-type pepsinogens and is much more homologous in amino acid sequence with C-type pepsinogens than A-type pepsinogens. These results indicate that the major form of rat pepsinogen can be classified as a C type pepsinogen.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1111/j.1432-1033.1986.tb10117.x | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Complete genome sequence of bacteriophage Godfather isolated from .
Microbiol Resour Announc
January 2025
Department of Biological Sciences, Tarleton State University, Stephenville, Texas, USA.
Microbacteriophage Godfather was collected from a soil sample in Stephenville, Texas. The 17,452-bp double-stranded genome contains 24 protein-coding genes. The genome shares >99% nucleotide sequence identity with cluster EE microbacteriophages Scamander, Danno, Kojax4, and Burgy.
View Article and Find Full Text PDFMultiplexed Molecular Endophenotypes Help Identify Hub Genes in Non-Small Cell Lung Cancer: Unlocking Next-Generation Cancer Phenomics.
OMICS
January 2025
Department of Biotechnology, Brainware University, Barasat, West Bengal, India.
Next-generation cancer phenomics by deployment of multiple molecular endophenotypes coupled with high-throughput analyses of gene expression offer veritable opportunities for triangulation of discovery findings in non-small cell lung cancer (NSCLC) research. This study reports differentially expressed genes in NSCLC using publicly available datasets (GSE18842 and GSE229253), uncovering 130 common genes that may potentially represent crucial molecular signatures of NSCLC. Additionally, network analyses by GeneMANIA and STRING revealed significant coexpression and interaction patterns among these genes, with four notable hub genes-, , and -identified as pivotal in NSCLC progression.
View Article and Find Full Text PDFModular organization of enhancer network provides transcriptional robustness in mammalian development.
Nucleic Acids Res
January 2025
State Key Laboratory of Cellular Stress Biology, Xiang'an Hospital, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, No. 4221, Xiang'an South Road, Xiamen, Fujian 361102, China.
Enhancer clusters, pivotal in mammalian development and diseases, can organize as enhancer networks to control cell identity and disease genes; however, the underlying mechanism remains largely unexplored. Here, we introduce eNet 2.0, a comprehensive tool for enhancer networks analysis during development and diseases based on single-cell chromatin accessibility data.
View Article and Find Full Text PDFGENA-LM: a family of open-source foundational DNA language models for long sequences.
Nucleic Acids Res
January 2025
London Institute for Mathematical Sciences Royal Institution, 21 Albemarle St, London W1S 4BS, UK.
Recent advancements in genomics, propelled by artificial intelligence, have unlocked unprecedented capabilities in interpreting genomic sequences, mitigating the need for exhaustive experimental analysis of complex, intertwined molecular processes inherent in DNA function. A significant challenge, however, resides in accurately decoding genomic sequences, which inherently involves comprehending rich contextual information dispersed across thousands of nucleotides. To address this need, we introduce GENA language model (GENA-LM), a suite of transformer-based foundational DNA language models capable of handling input lengths up to 36 000 base pairs.
View Article and Find Full Text PDFThe iMab antibody selectively binds to intramolecular and intermolecular i-motif structures.
Nucleic Acids Res
January 2025
Department of Molecular Medicine, University of Padua, via A. Gabelli 63, 35121 Padua, Italy.
i-Motifs (iMs) are quadruplex nucleic acid conformations that form in cytosine-rich regions. Because of their acidic pH dependence, iMs were thought to form only in vitro. The recent development of an iM-selective antibody, iMab, has allowed iM detection in cells, which revealed their presence at gene promoters and their cell cycle dependence.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!