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At least 991 records · Page 55Linked to original sources
PubMed2026

The maternal-to-zygotic transition is a critical window for PFOA-induced disruption of developmental programming.

Early embryogenesis is governed by precisely timed gene regulatory programs that coordinate cell fate specification, tissue patterning, and morphogenesis. The maternal-to-zygotic transition (MZT) represents a pivotal developmental milestone during which regulatory control shifts from maternally deposited transcripts to activation of the zygotic genome. Disruption of this transition has the potential to alter developmental trajectories with lasting consequences. Per- and polyfluoroalkyl substances (PFAS), environmentally persistent contaminants, have been linked to developmental abnormalities, yet their impact on core embryonic gene regulatory networks especially with exposure during MZT is not well understood. Using zebrafish (Danio rerio), a tractable vertebrate model and New Approach Methodology (NAM), we investigated how PFAS exposure during the MZT alters early developmental programming. Embryos were exposed starting at different times before and within the MZT time window and collected at 24 h post-fertilization (hpf) for transcriptomic analysis. Targeted qRT-PCR revealed dysregulation of genes controlling transcriptional activation, lineage specification, proliferation, and differentiation. Whole-transcriptome RNA sequencing (RNA-seq) further identified widespread perturbations in gene networks governing transcriptional regulation, cell signaling, and embryonic morphogenesis. Temporal analysis revealed that exposure beginning at 3.5 hpf, followed by 8 hpf, corresponding to early zygotic genome activation and near completion of zygotic activation, respectively, resulted in the greatest differential gene expression changes at 24 hpf. Consistent with these early gene regulatory perturbations, larvae exposed starting at 8 hpf also exhibited altered behavior at 5 days post-fertilization. Together, these findings demonstrate that PFAS exposure during MZT disrupts the establishment of embryonic gene regulatory networks, linking environmental toxicant exposure to altered developmental patterning and organismal outcomes. This work underscores the vulnerability of early developmental transitions to environmental perturbation and positions MZT as a critical window of susceptibility during development.

NAMs (new approach methodologies)↗
PubMed2026

Novel compound heterozygous POR variants in a neonate with Antley-Bixler syndrome and 46,XY DSD: a case report and literature review.

BACKGROUND: Cytochrome P450 oxidoreductase deficiency (PORD) is an ultra-rare autosomal recessive disorder within the congenital adrenal hyperplasia (CAH) spectrum, characterized by a broad clinical spectrum involving steroidogenesis defects, genital anomalies, and skeletal abnormalities. CASE PRESENTATION: We report a phenotypically female neonate with a 46,XY karyotype whose postnatal diagnostic evaluation was initiated after newborn screening revealed elevated 17-hydroxyprogesterone (17-OHP) concentration. The patient presented with mild hypertelorism, mild nasal hypoplasia, and low-set bilateral ears, along with female external genitalia consistent with disorder of sex development (DSD) and anal atresia. Radiological evaluation revealed femoral bowing and subsequent fracture. The craniofacial and skeletal abnormalities were consistent with the features of Antley-Bixler syndrome (ABS). Endocrine evaluation revealed elevated progesterone, markedly reduced testosterone, and secondary hyperaldosteronism. Genetic analysis identified three novel variants in the POR gene (NM_001395413.1): the patient harbored a paternal c.1187_1195dup (p.Pro396_Glu398dup) variant and two maternally inherited variants in cis, c.1447G>A (p.Gly483Ser) and c.1806 + 4_1806 + 28del. Protein structural modeling predicted that the p.Pro396_Glu398dup and p.Gly483Ser may disrupt the flavin adenine dinucleotide (FAD)-binding domain. RNA sequencing (RNA-seq) confirmed that the intronic variant c.1806 + 4_1806 + 28del caused aberrant splicing, resulting in partial intron retention and predicted impairment of the nicotinamide adenine dinucleotide phosphate (NADPH)-binding domain. According to American College of Medical Genetics and Genomics (ACMG) guidelines and incorporating functional evidence, c.1187_1195dup and c.1806 + 4_1806 + 28del were reclassified as likely pathogenic (LP), whereas c.1447G>A remained a variant of uncertain significance (VUS). CONCLUSIONS: This study describes a neonate with PORD caused by three novel POR variants and expands the known clinical spectrum of PORD by identifying rare manifestations including anal atresia and hearing loss. RNA-seq provided valuable functional evidence for variant interpretation and facilitated accurate molecular diagnosis. These findings highlight the importance of integrating genetic phasing, transcript-level functional analysis, and comprehensive clinical evaluation for precise diagnosis and counseling in rare endocrine disorders.

Humans↗
PubMed2026

Integrated Metabolomic and Transcriptomic Analysis Reveals Tissue-Specific Secondary Metabolic Differentiation and Indole Alkaloid Accumulation in Evodia rutaecarpa.

Evodia rutaecarpa is a valuable medicinal plant, yet its non-medicinal tissues remain largely underexplored. Here, we integrated ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS)-based widely targeted metabolomics and RNA sequencing (RNA-seq) transcriptomics to systematically profile the metabolic and transcriptional landscapes of roots, stems, leaves, and flowers of Evodia rutaecarpa (Juss.) Benth. Our aim was to characterize tissue-specific metabolic differentiation and its underlying transcriptional regulatory mechanisms. Metabolomic analysis, employing principal component analysis (PCA) and orthogonal partial least squares-discriminant analysis (OPLS-DA) with robust model parameters (R2Y > 0.9, Q2 > 0.5), identified 3090 differential metabolite features (variable importance in projection, VIP > 1.0; p < 0.05) across the four tissues, which exhibited distinct tissue-specific clustering patterns. Integrated Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis and weighted gene co-expression network analysis (WGCNA) revealed that roots specifically accumulated quinolone alkaloids and flavonoid glycosides, accompanied by the coordinated upregulation of genes involved in flavonoid and phenylpropanoid biosynthetic pathways. In contrast, stems, leaves, and flowers were enriched in indole alkaloids (evodiamine and rutaecarpine) and volatile oil precursors, with concurrent upregulation of genes involved in tryptophan metabolism and indole alkaloid biosynthesis (e.g., tryptophan decarboxylase, TDC; s N-methyltransferase, NMT). Notably, leaves and flowers displayed particularly high accumulation levels of these bioactive alkaloids, suggesting their potential as alternative sources for industrial and pharmaceutical applications. WGCNA further identified multiple transcription factors and structural gene modules tightly correlated with evodiamine accumulation, offering promising candidate regulators for future biosynthetic pathway engineering. Collectively, this multi-omics integration study systematically elucidates the tissue-partitioned secondary metabolism of Evodia rutaecarpa (Juss.) Benth. and provides a solid scientific foundation for full-plant resource utilization, targeted development of non-medicinal tissues, and future metabolic engineering of indole alkaloid production.

Evodia rutaecarpa↗
PubMed2026

Genome-Wide Identification of the PAL Gene Family in Idesia polycarpa and Transcriptomic Responses to Botryosphaeria dothidea Infection.

Idesia polycarpa is a woody oil tree threatened by stem canker caused by Botryosphaeria dothidea, yet the organization and infection-responsive behavior of its phenylalanine ammonia-lyase (PAL) gene family remain poorly understood. Here, we identified five IpPAL genes and characterized their phylogenetic relationships, conserved features, duplication patterns, promoter cis-elements, and infection-associated expression profiles. Segmental and tandem duplication contributed to IpPAL family evolution, and all duplicated pairs showed Ka/Ks ratios below 1, consistent with purifying selection. RNA sequencing (RNA-seq) of contrasting Chengdu and Zhangjiajie provenances revealed distinct temporal responses. In Chengdu, IpPAL2-IpPAL4 were significantly upregulated at 24 h after inoculation, whereas all five genes were upregulated at 96 h. In Zhangjiajie, all five IpPAL genes were significantly upregulated at 24 h, while IpPAL2-IpPAL5 remained upregulated at 96 h. No IpPAL gene met the differential-expression criteria between provenances under mock conditions or at 24 h; at 96 h, IpPAL1 and IpPAL3 were lower and IpPAL5 was higher in Zhangjiajie than in Chengdu. Scanning electron microscopy (SEM) provided complementary qualitative evidence of provenance-associated tissue responses. These findings demonstrate time- and gene-specific IpPAL responses to B. dothidea and identify candidate genes for further functional analysis.

Ascomycota↗
PubMed2022

Flnc: Machine Learning Improves the Identification of Novel Long Noncoding RNAs from Stand-Alone RNA-Seq Data.

Long noncoding RNAs (lncRNAs) play critical regulatory roles in human development and disease. Although there are over 100,000 samples with available RNA sequencing (RNA-seq) data, many lncRNAs have yet to be annotated. The conventional approach to identifying novel lncRNAs from RNA-seq data is to find transcripts without coding potential but this approach has a false discovery rate of 30-75%. Other existing methods either identify only multi-exon lncRNAs, missing single-exon lncRNAs, or require transcriptional initiation profiling data (such as H3K4me3 ChIP-seq data), which is unavailable for many samples with RNA-seq data. Because of these limitations, current methods cannot accurately identify novel lncRNAs from existing RNA-seq data. To address this problem, we have developed software, Flnc, to accurately identify both novel and annotated full-length lncRNAs, including single-exon lncRNAs, directly from RNA-seq data without requiring transcriptional initiation profiles. Flnc integrates machine learning models built by incorporating four types of features: transcript length, promoter signature, multiple exons, and genomic location. Flnc achieves state-of-the-art prediction power with an AUROC score over 0.92. Flnc significantly improves the prediction accuracy from less than 50% using the conventional approach to over 85%. Flnc is available via GitHub platform.

RNA-seq↗
PubMed2025

Multi-Omics and Integrative Analytics in Natural Products Discovery.

Natural products (NPs) have long been an essential source of new bioactive compounds for drug discovery; however, traditional methods for screening and isolating these compounds can be slow and often yield diminishing returns. Fortunately, advanced multi-omics and computational approaches present powerful solutions to these challenges. This review highlights innovative methodologies that integrate metabolomics, genomics, transcriptomics, and proteomics with bioinformatics and analytical chemistry to accelerate NP discovery. For instance, untargeted metabolomics platforms like high-resolution liquid chromatography-tandem mass spectrometry (LC-MS/MS) and Global Natural Products Social (GNPS) molecular networking allow for comprehensive profiling of new compounds, while targeted isotope-labeling strategies enhance this process. Additionally, genome and metagenome mining tools such as antibiotics and secondary metabolite analysis shell (antiSMASH), Deep Biosynthetic Gene Cluster (DeepBGC), and Pipeline for Reconstructing Integrated Syntheses of Metabolites (PRISM) quickly identify biosynthetic gene clusters (BGCs) in both cultured and uncultured organisms, often using heterologous expression to validate products. Transcriptomic analyses, including RNA sequencing (RNA-seq), co-expression networks, and fluxomics, help clarify how pathways are regulated, while quantitative proteomics techniques like tandem mass tags/isobaric tags for relative and absolute quantitation (TMT/iTRAQ) and label-free methods, along with chemoproteomics approaches such as cellular thermal shift assay and thermal proteome profiling (TPP), uncover molecular targets and their mechanisms of action. This review also places significant emphasis on the role of artificial intelligence (AI) and machine learning (ML) in integrating multi-omics data, spanning activities from constructing gene-metabolite correlation networks to leveraging knowledge graphs and graph neural networks for data fusion and functional prediction. Finally, this review concludes by discussing the synergistic benefits of multi-omics for natural-product discovery, addressing current technical challenges, and exploring future directions toward high-throughput, intelligent data integration for next-generation NP research.

Biological Products↗
PubMed1975

Homologies of ribosomal RNA nucleotide sequences in monocots.

Competitive hybridization among ribosomal RNA was used to estimate homologies of nucleotide sequences in monocots. Homologies have been measured with respect to Allium cepa (Liliaceae) and Zea mays (Graminaceae). It was found that nucleotide sequences are highly conserved within Liliaceae, while some divergences were found within Graminaceae.

Base Sequence↗
PubMed2006

Single-molecule, motion-based DNA sequencing using RNA polymerase.

We present a method for sequencing DNA that relies on the motion of single RNA polymerase molecules. When a given nucleotide species limits the rate of transcription, polymerase molecules pause at positions corresponding to the rare base. An ultrastable optical trapping apparatus capable of base pair resolution was used to monitor transcription under limiting amounts of each of the four nucleotide species. From the aligned patterns of pauses recorded from as few as four molecules, we determined the DNA sequence. This proof of principle demonstrates that the motion of a processive nucleic acid enzyme may be used to extract sequence information directly from DNA.

Adenosine Triphosphate↗
PubMedDate not supplied

Molecular identification of nanoplanktonic protists based on small subunit ribosomal RNA gene sequences for ecological studies.

Nanoplanktonic protists are comprised of a diverse assemblage of species which are responsible for a variety of trophic processes in marine and freshwater ecosystems. Current methods for identifying small protists by electron microscopy do not readily permit both identification and enumeration of nanoplanktonic protists in field samples. Thus, one major goal in the application of molecular approaches in protistan ecology has been the detection and quantification of individual species in natural water samples. Sequences of small subunit ribosomal RNA (SSU rRNA) genes have proven to be useful towards achieving this goal. Comparison of sequences from clone libraries of protistan SSU rRNA genes amplified from natural assemblages of protists by the polymerase chain reaction (PCR) can be used to examine protistan diversity. Furthermore, oligonucleotide probes complementary to short sequence regions unique to species of small protists can be designed by comparative analysis of rRNA gene sequences. These probes may be used to either detect the RNA of particular species of protists in total nucleic acid extracts immobilized on membranes, or the presence of target species in water samples via in situ hybridization of whole cells. Oligonucleotide probes may also serve as primers for the selective amplification of target sequences from total population DNA by PCR. Thus, molecular sequence information is becoming increasingly useful for identifying and enumerating protists, and for studying their spatial and temporal distribution in nature. Knowledge of protistan species composition, abundance and variability in an environment can ultimately be used to relate community structure to various aspects of community function and biogeochemical activity.

Animals↗
PubMed1992

Classification of subgroups of Giardia lamblia based upon ribosomal RNA gene sequence using the polymerase chain reaction.

A sensitive and specific polymerase chain reaction-based assay has been developed to detect and analyze polymorphism in the Giardia lamblia 18S ribosomal RNA gene. Efficient amplification required the inclusion of cosolvents (glycerol and dimethyl sulfoxide) in the reaction. Following the optimization of conditions for amplification and subsequent hybridization of amplified product with radiolabeled oligonucleotide probe, a detection limit of less than one organism's worth of DNA was achieved. Thirty-five different G. lamblia strains obtained from various human and animal host types and geographic locations were analyzed by this method. The strains could be divided into 3 groups on the basis of defined nucleotide substitutions within the 183-bp amplified DNA fragment of the 18S ribosomal RNA gene. The groupings based upon the 18S ribosomal RNA gene sequence correlated with groupings previously assigned based upon patterns of surface antigens and restriction enzyme analysis. Analysis of the G. lamblia 18S ribosomal RNA gene sequences present in fecal specimens obtained from giardiasis patients revealed the presence of the different sequence types in these specimens. Some specimens contained more than one sequence type. The identification of subgroups of G. lamblia may facilitate studies of virulence, infectivity, and the epidemiology of giardia infection.

Amino Acid Sequence↗
PubMed2005

Targeting the HIV-1 RNA leader sequence with synthetic oligonucleotides and siRNA: chemistry and cell delivery.

New candidates for development as potential drugs or virucides against HIV-1 infection and AIDS continue to be needed. The HIV-1 RNA leader sequence has many essential functional sites for virus replication and regulation that includes several highly conserved sequences. The review describes the historical context of targeting the HIV-1 RNA leader sequence with antisense phosphorothioate oligonucleotides, such as GEM 91, and goes on to describe modern approaches to targeting this region with steric blocking oligonucleotide analogues having newer and more advantageous chemistries, as well as recent studies on siRNA, towards the attainment of antiviral activity. Recent attempts to obtain improved cell delivery are highlighted, including exciting new developments in the use of peptide conjugates of peptide nucleic acid (PNA) as potential virucides.

5' Untranslated Regions↗
PubMed1985

Dysdifferentiative nature of aging: age-dependent expression of mouse mammary tumor virus and casein genes in brain and liver tissues of the C57BL/6J mouse strain.

Many aspects of the aging process could be the result of cells slowly drifting away from their proper state of differentiation. This possibility has been studied by searching for an age-dependent increase in the expression of specific genes in tissues where expression of these genes would not normally be expected. In these studies, cDNA probes of specific genes are used in a DNA X NA hybridization assay to detect possible complementary RNA sequences in tissues of different-aged animals. Using this technique in past experiments, a qualitative increase in the RNA sequence complexity of mouse leukemia virus (MuLV) and a quantitative increase in the amount of alpha- and beta-globin RNA were found with increasing age in the brain and liver of the C57BL/6J mouse strain. We report here a similar age-dependent qualitative increase in the RNA sequence complexity for mouse mammary tumor virus (MMTV) but no quantitative or qualitative age-dependent change in casein RNA sequences for the same tissues and mouse strain.

Aging↗
PubMed2004

A universal nucleic acid sequence biosensor with nanomolar detection limits.

A quantitative universal biosensor was developed on the basis of olignucleotide sandwich hybridization for the rapid (30 min total assay time) and highly sensitive (1 nM) detection of specific nucleic acid sequences. The biosensor consists of a universal membrane and a universal dye-entrapping liposomal nanovesicle. Two oligonucleotides, a reporter and a capture probe that can hybridize specifically with the target nucleic acid sequence, can be coupled to the universal biosensor components within a 10-min incubation period, thus converting it into a specific assay. The liposomal nanovesicles bear a generic oligonucleotide sequence on their outer surface. The reporter probes consist of two parts: the 3' end is complementary to the generic liposomal oligonucleotide, and the 5' end is complementary to the target sequence. Streptavidin is immobilized in the detection zone of the universal membranes. The capture probes are biotinylated at the 5' end and are complementary to another segment in the target sequence. Thus, by incubating the liposomal nanovesicles with the reporter probes, the target sequence, and the capture probes in a hybridization buffer for 20 min, a sandwich complex is formed. The mixture is applied to the membrane, migrates along the strip, and is captured in the detection zone via streptavidin-biotin binding. The biosensor assay was optimized with respect to hybridization conditions, concentrations of all components, and length of the generic probe. It was tested using synthetic DNA sequences and authentic RNA sequences isolated and amplified using nucleic acid sequence-based amplification (NASBA) from Escherichia coli, Bacillus anthracis, and Cryptosporidium parvum. Dose-response curves were carried out using a portable reflectometer for the instantaneous quantification of liposomal nanovesicles in the detection zone. Limits of detection of 1 fmol per assay (1 nM) and dynamic ranges between 1 fmol and at least 750 fmol (1-750 nM) were obtained. The universal biosensors were compared to specific RNA biosensors developed earlier and were found to match or exceed their performance characteristics. In addition, no changes to hybridization conditions were required when switching to the detection of a new target sequence or when using actual nucleic acid sequence-based amplified RNA sequences. Therefore, the universal biosensor described is an excellent tool for use in laboratories or at test sites for rapidly investigating and quantifying any nucleic acid sequence of interest.

Animals↗
PubMed2006

KISS: the kinetoplastid RNA editing sequence search tool.

Kinetoplastid mitochondrial mRNA editing is a post-transcriptional process of uridine insertion and deletion. Editing is mediated by small RNA molecules termed guide RNAs (gRNAs). Most gRNAs are encoded by numerous small circular DNA minicircles, while the protein coding mitochondrial genes are encoded on a separate, larger genome called the maxicircle. In order to provide a workbench for the analysis of RNA editing in kinetoplastids and a well-annotated set of guide RNAs for Trypanosoma brucei, we generated the kinetoplastid RNA editing sequence search tool (KISS) (http://gmod.mbl.edu/kiss/). KISS is a pipeline and database that uses BLAST comparisons and minicircle sequence motifs to annotate potential gRNAs and cognate mRNA editing sequence. KISS 1.0 contains all previously known minicircle and maxicircle data from Trypanosoma brucei plus >400 new minicircle sequences. Using an online format, KISS 1.0 allows the mapping and visualization of all known T. brucei gRNAs to minicircle genes and to potential mRNA substrates for RNA editing.

Animals↗
PubMed2004

Evaluation of the phylogenetic position of the planctomycete 'Rhodopirellula baltica' SH 1 by means of concatenated ribosomal protein sequences, DNA-directed RNA polymerase subunit sequences and whole genome trees.

In recent years, the planctomycetes have been recognized as a phylum of environmentally important bacteria with habitats ranging from soil and freshwater to marine ecosystems. The planctomycetes form an independent phylum within the bacterial domain, whose exact phylogenetic position remains controversial. With the completion of sequencing of the genome of 'Rhodopirellula baltica' SH 1, it is now possible to re-evaluate the phylogeny of the planctomycetes based on multiple genes and genome trees in addition to single genes like the 16S rRNA or the elongation factor Tu. Here, evidence is presented based on the concatenated amino acid sequences of ribosomal proteins and DNA-directed RNA polymerase subunits from 'Rhodopirellula baltica' SH 1 and more than 90 other publicly available genomes that support a relationship of the Planctomycetes and the Chlamydiae. Affiliation of 'Rhodopirellula baltica' SH 1 and the Chlamydiae was reasonably stable regarding site selection since, during stepwise filtering of less-conserved sites from the alignments, it was only broken when rigorous filtering was applied. In a few cases, 'Rhodopirellula baltica' SH 1 shifted to a deep branching position adjacent to the Thermotoga/Aquifex clade. These findings are in agreement with recent publications, but the deep branching position was dependent on site selection and treeing algorithm and thus not stable. A genome tree calculated from normalized BLASTP scores did not confirm a close relationship of 'Rhodopirellula baltica' SH 1 and the Chlamydiae, but also indicated that the Planctomycetes do not emerge at the very root of the Bacteria. Therefore, these analyses rather contradict a deep branching position of the Planctomycetes within the bacterial domain and reaffirm their earlier proposed relatedness to the Chlamydiae.

Bacteria↗
PubMed1992

Complete nucleotide sequence of RNA 4 of rice stripe virus isolate T, and comparison with another isolate and with maize stripe virus.

The complete nucleotide sequence of RNA 4 of rice stripe virus isolate T (RSV-T) was determined and found to consist of 2157 nucleotides, containing two open reading frames (ORFs). One, deduced to be present in the 5'-proximal region of the viral-sense RNA, encodes the stripe disease-specific protein with Mr 20541, and the other ORF, in the 5'-proximal region of the viral complementary sense RNA, encodes an unknown protein with Mr 32474. Between these two ORFs there is an intergenic non-coding region that could form a secondary structure with two base-paired hairpin configurations. These characteristics indicate that RSV-T RNA 4 has an ambisense coding strategy. Comparison of the two ORFs of RSV-T with those of another isolate revealed 97.2% and 98.0% identity for the nucleotide sequences, and 98.3% and 98.2% identity for the amino acid sequences. The leader sequences of these two isolates were the same. However, an insertion was found in the intergenic non-coding region of RSV-T. Furthermore, comparison of the nucleotide and amino acid sequences of RSV-T RNA 4 with those of RNA 4 of maize stripe virus, which is another member of the tenuivirus group, revealed greater identity, suggesting a close phylogenetic relationship between these two viruses.

Amino Acid Sequence↗
PubMed1992

Comparative analysis of 23S ribosomal RNA gene sequences of Bacillus anthracis and emetic Bacillus cereus determined by PCR-direct sequencing.

The primary structures of the 23S ribosomal RNA genes of Bacillus anthracis and an emetic strain of Bacillus cereus were determined by direct sequencing of enzymatically amplified chromosomal DNA. The 23S rRNA gene sequences of B. anthracis and B. cereus were found to be almost identical and showed only two differences (a single nucleotide change, and a single base insertion in B. cereus). The feasibility of using PCR-direct sequencing for the rapid sequence determination of large-subunit rRNA genes is demonstrated.

Bacillus anthracis↗