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At least 19 recordsLinked to original sources
PubMed2025

Genetic predisposition to systemic inflammatory proteins is causally associated with inflammatory bowel disease: Insights from multi-omics association study and single-cell RNA-sequencing analysis.

Systemic inflammatory proteins have been reported to be related to inflammatory bowel disease (IBD) in previous observational research. However, their causal links remain obscure. Herein, we performed a Mendelian randomization (MR) analysis to analyze the causality between systemic inflammatory proteins and IBD. Genetic variants related to systemic inflammatory proteins were extracted from a meta-analysis of genome-wide association study (GWAS) data of 8293 European participants. Summary statistics of IBD diverse subtypes were obtained from the international IBD genetic consortium (IIBDGC). We conducted multi-omics method and MR study to detect the causal links through integrating GWAS and protein quantity trait loci (pQTL) data. Inverse variance weighted (IVW) approach was utilized as the dominated analysis method. Moreover, complementary approaches such as MR-Egger intercept test, Cochran Q test and leave-one-out analysis were utilized to validate pleiotropy and heterogeneity. Finally, single-cell RNA-sequencing analysis was performed to detect the expression of significant genes. For IBD, IVW estimates suggested that genetically predicted IL-10 and IL-13 were suggestively associated with an elevated risk of IBD (IL-10: OR: 1.12, 95% CI: 1.00-1.24, P = .04; IL-13: OR: 1.09, 95% CI: 1.01-1.18, P = .023), while CXCL10 was suggestively linked to a lower risk of IBD (CXCL10: OR: 0.90, 95% CI: 0.82-0.99, P = .037). For Crohn disease (CD), the IVW approach provided evidence to sustain that genetically determined IL-13 and CCL3 had a suggestive association with a higher risk of CD (IL-13: OR: 1.13, 95% CI: 1.02-1.26, P = .023; CCL3: OR: 1.22, 95% CI: 1.03-1.45, P = .018). Sensitivity analysis did not explore any heterogeneity and pleiotropy. Our findings supported the causal relationships between 4 specific inflammatory proteins (IL-10, IL-13, CXCL10, and CCL3) and the risk of IBD and CD, thereby providing promising biomarkers of various subtypes stratification and new insights for the prevention and therapeutic target of IBD.

Humans↗
PubMed1986

Mitotic recombination in germ cells generated two major histocompatibility complex mutant genes shown to be identical by RNA sequence analysis: Kbm9 and Kbm6.

RNA sequencing represents a major procedural simplification for nucleotide sequence analysis of a transcribed gene. Using newly adapted mRNA and cDNA sequencing procedures, we have sequenced 855 nucleotides of Kbm9 mRNA, corresponding to the codons for the aminoterminal 285 amino acids. The inferred DNA sequence of the Kbm9 gene differs from the parental Kb sequence by single nucleotide alterations in each of codons 116 and 121, resulting in Tyr----Phe and Cys----Arg substitutions, respectively. The Kbm9 sequence is identical to that of another independently arising MHC mutant gene, Kbm6. As both the Kbm9 and Kbm6 genes were generated by recombination between the Kb and Q4 genes, our data indicate that the identical genetic interactions have occurred at least twice. The relatively large extent of identity between Q4 and Kb may be responsible for frequent recombination between the two genes. The parents of the original bm9 mutant mice had five identical mutant offspring, which can be explained by mitotic recombination in the germ cells, producing gonadal mosaicism in the C57BL/6 mother. Thus, mitotic recombination, and not meiotic recombination, appears to be responsible for the formation of at least some of the Kb mutants. Such a mechanism probably plays a major role in the generation of diversity in the major histocompatibility complex.

Animals↗
PubMed1994

RNA sequence analysis using covariance models.

We describe a general approach to several RNA sequence analysis problems using probabilistic models that flexibly describe the secondary structure and primary sequence consensus of an RNA sequence family. We call these models 'covariance models'. A covariance model of tRNA sequences is an extremely sensitive and discriminative tool for searching for additional tRNAs and tRNA-related sequences in sequence databases. A model can be built automatically from an existing sequence alignment. We also describe an algorithm for learning a model and hence a consensus secondary structure from initially unaligned example sequences and no prior structural information. Models trained on unaligned tRNA examples correctly predict tRNA secondary structure and produce high-quality multiple alignments. The approach may be applied to any family of small RNA sequences.

Algorithms↗
PubMed2026

A modular class-aware workflow for small RNA sequencing analysis using mouse sperm as a case study.

BACKGROUND: Small RNA sequencing analysis is challenging because RNA classes differ in biogenesis, sequence redundancy, genomic organization, and annotation reliability. Integrated workflows accommodating these constraints remain limited, particularly for fragment-level and cluster-level analysis. METHODS: We present a reproducible, containerized, class-aware workflow for small RNA sequencing analysis, using mouse sperm as a case study. The workflow combines standardized preprocessing with complementary annotation and quantification strategies for microRNAs (miRNAs), transfer RNA-derived small RNAs (tsRNAs), ribosomal RNA-derived small RNAs (rsRNAs), and PIWI-interacting RNA (piRNA)-enriched genomic clusters. Using sperm small RNA data from offspring of lipopolysaccharide (LPS)-exposed male mice, we compared integrated-reference mapping, multi-class annotation, fragment-level tsRNA profiling, and genome-based piRNA cluster analysis, with custom modules for locus-aware harmonization and condition-specific cluster analysis. RESULTS: Integrated-reference mapping aligned 88.17% of reads and retained 690 features after filtering. It identified 11 differentially expressed miRNAs between LPS and controls, while other classes showed limited signal. Fragment-level profiling improved tsRNA resolution. piRNA cluster analysis identified 958 control and 940 LPS clusters, with 18 control-specific and no LPS-specific clusters. CONCLUSION: This workflow supports transparent, reproducible, class-aware interpretation of small RNA sequencing data while emphasizing cautious interpretation of piRNA-enriched signals from total small RNA sequencing.

Small non-coding RNA analysis↗
PubMed2004

Improved laboratory diagnosis of bacterial and fungal infections in patients with hematological malignancies using PCR and ribosomal RNA sequence analysis.

During October 1999 to November 2000, 98 blood culture specimens from the same number of febrile episodes originating from 49 patients with hematological malignancies were examined for the presence of eubacteria and fungi based on 16S rRNA gene and the 5.8, 18 and 28S rRNA combined with in vitro PCR amplification and sequencing, in addition to conventional blood culture laboratory techniques. Nineteen of the samples were associated with positive blood cultures. Eubacterial (16S rRNA) PCR detected bacterial DNA in 26 febrile episodes, i.e. in an additional 7 febrile episodes than blood-culture alone. The species identified by partial 16S rRNA gene sequencing were as follows Staphylococcus spp (n = 6), Staphylococcus epidermidis (n = 5), Acinetobacter spp (n = 5), Escherichia coli (n = 2), Enterobacter agglomerans (n = 2), Campylobacter spp (n = 1), Citrobacter spp (n = 1), Corynebacterium spp (n = 1), Enterobacter faecium (n = 1), Ralstonia spp (n = 1), Acidovorax spp. (n = 1) and Stenotrophomonas maltophilia (n = 1). Gram-positive bacteria were found in 12/27 (44.6%) and gram-negative bacteria were found in 15/27 (55.6%). After optimization of a PCR-based fungal detection method, none of the febrile episodes were shown to be attributable to fungi. The results of this study suggest that fungi are not common causal agents of febrile episodes in patients with a hematological malignancy at this centre and that molecular techniques can augment cultural methods in the diagnosis of causal agents of bacteremia in patients, so that appropriate antibiotic regimens may be commenced in patients with culture-negative episodes of infection.

Adolescent↗
PubMed2025

Dual RNA isolation from blood: an optimized protocol for host and bacterial RNA purification for dual RNA-sequencing analysis in whole blood sepsis samples.

Dual RNA-sequencing (dual RNA-seq) holds significant promise for deciphering bacterial virulence mechanisms during systemic infections. However, its application in sepsis research is hindered by technical challenges, including a low bacterial burden in blood and limited sample volumes and RNA yield from vulnerable populations, such as neonates. We developed an optimized protocol [dual RNA isolation from blood (DRIB)] for simultaneous stabilization, isolation and purification of high-quality host leukocyte and bacterial RNA from low-volume whole blood samples (0.5 ml). This protocol is compatible with clinical sample collection workflows and high-throughput RNA sequencing. The feasibility of DRIB for dual RNA-seq was validated using a pilot cohort of clinical adult sepsis samples, enabling the investigation of host-bacterial gene expression during sepsis. The DRIB protocol yielded 2.10-6.91 µg of total RNA per clinical sample in our pilot cohort. Dual-species ribosomal RNA (rRNA) depletion and RNA-seq generated 16.6-24.8 million filtered reads per sample, with 63±7% of reads uniquely mapped to host or bacterial sequences. Host genes accounted for 51-68% (8.4-10.9 million) reads, while 0.5-6.7% (79,496-789,808 reads) mapped to bacterial genomes. Bioinformatic analysis revealed that both shared and individual transcriptional patterns were identified in host and bacterial responses, including pathways related to immune metabolism and metal-ion binding. Our optimized DRIB protocol and RNA-seq pipeline effectively captured both host and bacterial RNA transcription in clinical sepsis samples. Expanding this approach to larger cohorts and varying disease timepoints will provide crucial new insights into host-bacterial gene co-expression dynamics in sepsis progression and outcomes.

Humans↗
PubMed1984

Primary structure of rabbit 18S ribosomal RNA determined by direct RNA sequence analysis.

The primary structure of rabbit 18S ribosomal RNA was determined by nucleotide sequence analysis of the RNA directly. The rabbit rRNA was specifically cleaved with T1 ribonuclease, as well as with E. coli RNase H using a Pst 1 DNA linker to generate a specific set of overlapping fragments spanning the entire length of the molecule. Both intact and fragmented 18S rRNA were end-labeled with [32P], base-specifically cleaved enzymatically and chemically and nucleotide sequences determined from long polyacrylamide sequencing gels run in formamide. This approach permitted the detection of both cistron heterogeneities and modified bases. Specific nucleotide sequences within E. coli 16S rRNA previously implicated in polyribosome function, tRNA binding, and subunit association are also conserved within the rabbit 18S rRNA. This conservation suggests the likelihood that these regions have similar functions within the eukaryotic 40S subunit.

Animals↗
PubMed2023

Unraveling Neuronal Identities Using SIMS: A Deep Learning Label Transfer Tool for Single-Cell RNA Sequencing Analysis.

Large single-cell RNA datasets have contributed to unprecedented biological insight. Often, these take the form of cell atlases and serve as a reference for automating cell labeling of newly sequenced samples. Yet, classification algorithms have lacked the capacity to accurately annotate cells, particularly in complex datasets. Here we present SIMS (Scalable, Interpretable Machine Learning for Single-Cell), an end-to-end data-efficient machine learning pipeline for discrete classification of single-cell data that can be applied to new datasets with minimal coding. We benchmarked SIMS against common single-cell label transfer tools and demonstrated that it performs as well or better than state of the art algorithms. We then use SIMS to classify cells in one of the most complex tissues: the brain. We show that SIMS classifies cells of the adult cerebral cortex and hippocampus at a remarkably high accuracy. This accuracy is maintained in trans-sample label transfers of the adult human cerebral cortex. We then apply SIMS to classify cells in the developing brain and demonstrate a high level of accuracy at predicting neuronal subtypes, even in periods of fate refinement, shedding light on genetic changes affecting specific cell types across development. Finally, we apply SIMS to single cell datasets of cortical organoids to predict cell identities and unveil genetic variations between cell lines. SIMS identifies cell-line differences and misannotated cell lineages in human cortical organoids derived from different pluripotent stem cell lines. When cell types are obscured by stress signals, label transfer from primary tissue improves the accuracy of cortical organoid annotations, serving as a reliable ground truth. Altogether, we show that SIMS is a versatile and robust tool for cell-type classification from single-cell datasets.

Brain organoids↗
PubMed1989

RNA sequence analysis of a perinatal lethal osteogenesis imperfecta mutation.

The perinatal lethal form of osteogenesis imperfecta often results from mutations which disrupt stable assembly, delay secretion, and cause excessive posttranslational modification of type I procollagen molecules. One such mutation was efficiently characterized by an indirect method of RNA sequence analysis. The mutation initially was localized in procollagen by mapping the distribution of abnormal posttranslational modification within the triple helical domain of mutant molecules. Total RNA was isolated from osteogenesis imperfecta cells in culture, cDNA was synthesized using alpha 1(I) and alpha 2(I) specific primers, and fragments of cDNA suspected to harbor the mutation were amplified by the polymerase chain reaction technique and then cloned in M13 vectors. Sequence analysis of the amplified cDNA revealed a new, heterozygous Gly----Val substitution at residue 256 of the triple helical domain of alpha 1(I) chains produced by the perinatal lethal osteogenesis imperfecta cells. The nature and location of the mutation were confirmed by sequence analysis of amplified genomic DNA. A Gly----Val substitution has not previously been associated with the lethal form of osteogenesis imperfecta, and this mutation has the most amino-terminal location within the alpha 1(I) chain triple helical domain reported to date.

Alleles↗
PubMed1990

Isolation and RNA sequence analysis of cytochrome b mutants resistant to funiculosin, a center i inhibitor of the mitochondrial ubiquinol-cytochrome c reductase in Saccharomyces cerevisiae.

Funiculosin is a well-known inhibitor of the mitochondrial respiratory chain, probably acting at the ubiquinone reducing site or center i of QH2-cytochrome c reductase. We report here the isolation, mapping and RNA sequence analysis of yeast apo-cytochrome b mutants resistant to this inhibitor. Funiculosin-resistance was found to be conferred, in 4 independent isolates, upon replacement of a leucine residue by phenylalanine in position 198 of the cytochrome b polypeptide chain.

Alleles↗
PubMed2024

SIMS: A deep-learning label transfer tool for single-cell RNA sequencing analysis.

Cell atlases serve as vital references for automating cell labeling in new samples, yet existing classification algorithms struggle with accuracy. Here we introduce SIMS (scalable, interpretable machine learning for single cell), a low-code data-efficient pipeline for single-cell RNA classification. We benchmark SIMS against datasets from different tissues and species. We demonstrate SIMS's efficacy in classifying cells in the brain, achieving high accuracy even with small training sets (<3,500 cells) and across different samples. SIMS accurately predicts neuronal subtypes in the developing brain, shedding light on genetic changes during neuronal differentiation and postmitotic fate refinement. Finally, we apply SIMS to single-cell RNA datasets of cortical organoids to predict cell identities and uncover genetic variations between cell lines. SIMS identifies cell-line differences and misannotated cell lineages in human cortical organoids derived from different pluripotent stem cell lines. Altogether, we show that SIMS is a versatile and robust tool for cell-type classification from single-cell datasets.

Single-Cell Analysis↗
PubMed2004

Asaia bogorensis peritonitis identified by 16S ribosomal RNA sequence analysis in a patient receiving peritoneal dialysis.

Here the authors report a case of refractory peritonitis leading to multiple hospitalizations and the loss of peritoneal dialysis access in a patient on automated peritoneal dialysis, caused by Asaia bogorensis, a bacterium not previously described as a human pathogen. This organism was identified by sequence analysis of the 16S ribosomal RNA gene. Unusual microbial agents may cause peritonitis, and molecular microbiological techniques are important tools for identifying these agents.

Acetobacteraceae↗
PubMed2024

CLN3 transcript complexity revealed by long-read RNA sequencing analysis.

BACKGROUND: Batten disease is a group of rare inherited neurodegenerative diseases. Juvenile CLN3 disease is the most prevalent type, and the most common pathogenic variant shared by most patients is the "1-kb" deletion which removes two internal coding exons (7 and 8) in CLN3. Previously, we identified two transcripts in patient fibroblasts homozygous for the 1-kb deletion: the 'major' and 'minor' transcripts. To understand the full variety of disease transcripts and their role in disease pathogenesis, it is necessary to first investigate CLN3 transcription in "healthy" samples without juvenile CLN3 disease. METHODS: We leveraged PacBio long-read RNA sequencing datasets from ENCODE to investigate the full range of CLN3 transcripts across various tissues and cell types in human control samples. Then we sought to validate their existence using data from different sources. RESULTS: We found that a readthrough gene affects the quantification and annotation of CLN3. After taking this into account, we detected over 100 novel CLN3 transcripts, with no dominantly expressed CLN3 transcript. The most abundant transcript has median usage of 42.9%. Surprisingly, the known disease-associated 'major' transcripts are detected. Together, they have median usage of 1.5% across 22 samples. Furthermore, we identified 48 CLN3 ORFs, of which 26 are novel. The predominant ORF that encodes the canonical CLN3 protein isoform has median usage of 66.7%, meaning around one-third of CLN3 transcripts encode protein isoforms with different stretches of amino acids. The same ORFs could be found with alternative UTRs. Moreover, we were able to validate the translational potential of certain transcripts using public mass spectrometry data. CONCLUSION: Overall, these findings provide valuable insights into the complexity of CLN3 transcription, highlighting the importance of studying both canonical and non-canonical CLN3 protein isoforms as well as the regulatory role of UTRs to fully comprehend the regulation and function(s) of CLN3. This knowledge is essential for investigating the impact of the 1-kb deletion and rare pathogenic variants on CLN3 transcription and disease pathogenesis.

Humans↗
PubMed1996

Bacillus piliformis infection (Tyzzer's disease) in a patient infected with HIV-1: confirmation with 16S ribosomal RNA sequence analysis.

Bacillus piliformis is a long, rod-shaped bacterium that has never been grown in cell-free medium and whose taxonomic classification is uncertain. B. piliformis is the causative agent of Tyzzer's disease, which is frequently reported in laboratory, wild, and domesticated animals. The spectrum and severity of this disease is wide in animals. Although many infections are rapidly fatal, subclinical infections are also common. To date, there have been no reports of B. piliformis infection in human beings, although elevated antibody levels have been reported in pregnant women. We describe the first case of human B. piliformis infection, in a man with HIV-1 infection and chronic, localized, crusted verrucous lesions. The diagnosis was confirmed by ribosomal RNA sequencing. The spectrum of organisms leading to infection and the spectrum of diseases caused by these organisms continue to expand, as new infections are identified and as patients with HIV-1 live longer with more severe immune suppression. The extreme difficulty in culturing B. piliformis and the lack of clinical and histopathologic experience with this organism in human beings mean that B. piliformis is potentially another infectious agent to be considered in human beings. Also, when an infectious organism is a strong clinical consideration, silver stains may be of use when results of routine bacterial staining are negative.

AIDS-Related Opportunistic Infections↗
PubMed1980

Phy M: an RNase activity specific for U and A residues useful in RNA sequence analysis.

Physarum polycephalum, an acellular slime mold, produces an endoribonuclease activity (Phy M) useful in direct RNA sequence determination. Under conditions previously described for direct enzymatic RNA sequencing (7M urea, 50 degrees C, pH 5.0)1 Phy M cleaves almost exclusively and uniformly at Up-N and Ap-N. In the absence of urea Up-N, Ap-N, and Gp-N are attacked in a sequence specific way identical to that found with RNase Phy I2 digests performed under the same reaction conditions.

Adenine↗
PubMed2001

Gyrodactyloides bychowskii (Monogenea: Gyrodactylidae) from sea-caged Atlantic salmon Salmo salar in Scotland: occurrence and ribosomal RNA sequence analysis.

Gyrodactyloides bychowskii has been recorded in Scottish waters for the first time. The parasite was found on the gills of Atlantic salmon reared in seawater. An integrated morphological and molecular examination of the parasite was carried out. Prevalence of the parasite was greatest in February and declined to 0 by June in 1999. During 2000, parasites were located in March and November. An overdispersion of parasites was recorded, with intensity of infection reaching over 200 parasites per gill arch in some fish. Parasitised gill tissue showed hyperplasia and hypertrophy but not always at the site of parasite attachment. The internal transcribed spacer of the ribosomal RNA gene array was amplified by PCR and sequenced. This sequence shared greatest similarity with the internal transcribed spacer of Gyrdicotylus gallieni, followed by Gyrodactylus species. This is the first molecular analysis of this parasite and provides sequence data that may be used in comparison of G. bychowskii from other locations or in phylogenetic analysis of this group of Monogenea.

Animals↗