Aspergillus fumigatus is an opportunistic human pathogenic fungus causing life-threatening infections in immunocompromised patients. Adaptation to different habitats and also virulence of the fungus depends on signal perception and transduction by modules such as the cyclic AMP-dependent protein kinase A (PKA) pathway. Here, by transcriptome analysis, 632 differentially regulated genes of this important signaling cascade were identified, including 23 putative transcriptional regulators. The highest upregulated transcription factor gene was located in a previously unknown secondary metabolite gene cluster, which we named fmp, encoding an incomplete non-ribosomal peptide synthetase, FmpE. Overexpression of the regulatory gene fmpR using the Tet(On) system led to the specific expression of the other six genes of the fmp cluster. Metabolic profiling of wild type and fmpR overexpressing strain by HPLC-DAD and HPLC-HRESI-MS and structure elucidation by NMR led to identification of 5-benzyl-1H-pyrrole-2-carboxylic acid, which we named fumipyrrole. Fumipyrrole was not described as natural product yet. Chemical synthesis of fumipyrrole confirmed its structure. Interestingly, deletion of fmpR or fmpE led to reduced growth and sporulation of the mutant strains. Although fmp cluster genes were transcribed in infected mouse lungs, deletion of fmpR resulted in wild-type virulence in a murine infection model.
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http://dx.doi.org/10.1111/mmi.12926 | DOI Listing |
PLoS One
March 2025
Department of Hematology, Heping Hospital Affiliated to Changzhi Medical College, Changzhi Medical College, Changzhi, Shanxi, China.
Objective: This study aims to investigate and analyze the differentially expressed genes (DEGs) in CD34 + hematopoietic stem cells (HSCs) from patients with myelodysplastic syndromes (MDS) through bioinformatics analysis, with the ultimate goal of uncovering the potential molecular mechanisms underlying pathogenesis of MDS. The findings of this study are expected to provide novel insights into clinical treatment strategies for MDS.
Methods: Initially, we downloaded three datasets, GSE81173, GSE4619, and GSE58831, from the public Gene Expression Omnibus (GEO) database as our training sets, and selected the GSE19429 dataset as the validation set.
STAR Protoc
March 2025
Liaoning Key Laboratory of Economic and Applied Entomology, College of Plant Protection, Shenyang Agricultural University, Shenyang 110866, China; Shenyang Key Laboratory of Surveillance and Management for Vegetable Diseases and Insect Pests, College of Plant Protection, Shenyang Agricultural University, Shenyang 110866, China. Electronic address:
Bacteriocytes are specialized insect cells adapted to harbor symbionts. However, their low number in individual whiteflies makes obtaining enough for transcriptome sequencing challenging. Here, we present a protocol for the isolation of whitefly bacteriocytes.
View Article and Find Full Text PDFClin Exp Rheumatol
March 2025
Department of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Objectives: The genetic underpinnings of RA remain partially elucidated, motivating our exploration of copy number variations (CNV) and rare variations in the pathogenesis of RA.
Methods: We conducted an integrated analysis of the genome-wide landscape of CNV and exome-wide rare variation associations with RA in the UK Biobank. To strengthen our findings, we corroborated the results by the differentially expressed genes identified from gene expression profiles of synovial tissue of RA patients and health controls.
Brief Bioinform
March 2025
Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, 633 Third Avenue, New York, NY 10017, United States.
Accurate sample classification using transcriptomics data is crucial for advancing personalized medicine. Achieving this goal necessitates determining a suitable sample size that ensures adequate classification accuracy without undue resource allocation. Current sample size calculation methods rely on assumptions and algorithms that may not align with supervised machine learning techniques for sample classification.
View Article and Find Full Text PDFDiscov Oncol
March 2025
Department of Anorectal Surgery, The Affiliated Hospital of Hunan Academy of Traditional Chinese Medicine, 58 Lushan Rd., Yuelu District, Changsha, 410006, Hunan, People's Republic of China.
Background: Asian cancer patients have become the highest morbidity and mortality group, and gastrointestinal tumors account for the majority of them, so it is urgent to find effective targets. Therefore, ferroptosis-related lncRNAs models were established to predict the prognosis and clinical immune characteristics of GI cancer.
Methods: RNA sequencing and clinical data were collected from the TCGA database (LIHC, STAD, ESCA, PAAD, COAD, CHOL, and READ) of patients with gastrointestinal cancer in Asia.
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