Molecular ecologists have good reasons to be excited about the newest DNA/RNA sequencing technologies. However, this exuberance should be tempered with a hefty dose of reality: new sequencing technologies come with significant new challenges. Herein, we offer a brief overview of some practical problems encountered during transcriptomics studies conducted in our laboratory, and of nontrivial issues that prospective practitioners should consider. These include template contamination (e.g. from xenobiotics) and the cutting-room floor problem, whereby most of the data are often unassembled, unannotated and unused. We also highlight computational requirements, including hardware, personnel time and associated skill sets. We are very optimistic about the future of molecular ecology, but we hope this cautionary overview will help neophytes better recognize some key challenges associated with new technologies.
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http://dx.doi.org/10.1111/1755-0998.12107 | DOI Listing |
J Hered
January 2025
Center for Evolutionary Hologenomics, The Globe Institute, The University of Copenhagen, 5A, Oester Farimagsgade, Copenhagen, 1353, Denmark.
The stone marten (Martes foina) is an important species for cytogenetic studies in the order Carnivora. ZooFISH probes created from its chromosomes provided a strong and clean signal in chromosome painting experiments and were valuable for studying the evolution of carnivoran genome architecture. The research revealed that the stone marten chromosome set is similar to the presumed ancestral karyotype of the Carnivora, which added an additional value for the species.
View Article and Find Full Text PDFJ Nat Prod
January 2025
Center for Marine Biotechnology and Biomedicine, Scripps Institution of Oceanography, University of California, San Diego, La Jolla, California 92093, United States.
A structurally novel metabolite, fatuamide A (), was discovered from a laboratory cultured strain of the marine cyanobacterium sp., collected from Faga'itua Bay, American Samoa. A bioassay-guided approach using NCI-H460 human lung cancer cells directed the isolation of fatuamide A, which was obtained from the most cytotoxic fraction.
View Article and Find Full Text PDFSci Transl Med
January 2025
Division of Pediatric Hematology/Oncology, Boston Children's Hospital, Boston, MA 02115, USA.
Tissue-specific T cell immune responses play a critical role in maintaining organ health but can also drive immune pathology during both autoimmunity and alloimmunity. The mechanisms controlling intratissue T cell programming remain unclear. Here, we leveraged a nonhuman primate model of acute graft-versus-host disease (aGVHD) after allogeneic hematopoietic stem cell transplantation to probe the biological underpinnings of tissue-specific alloimmune disease using a comprehensive systems immunology approach including multiparameter flow cytometry, population-based transcriptional profiling, and multiplexed single-cell RNA sequencing and TCR sequencing.
View Article and Find Full Text PDFSci Transl Med
January 2025
Graduate Program in Human Genetics, University of Miami Miller School of Medicine, 1501 NW 10th Avenue (M-860), Miami, FL 33136, USA.
Primary mitochondrial disorders are most often caused by deleterious mutations in the mitochondrial DNA (mtDNA). Here, we used a mitochondrial DddA-derived cytosine base editor (DdCBE) to introduce a compensatory edit in a mouse model that carries the pathological mutation in the mitochondrial transfer RNA (tRNA) alanine (mt-tRNA) gene. Because the original m.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Computer Science, Faculty of Computing, Federal University of Lafia, Lafia, Nasarawa State, Nigeria.
The emergence of Next Generation Sequencing (NGS) technology has catalyzed a paradigm shift in clinical diagnostics and personalized medicine, enabling unprecedented access to high-throughput microbiome data. However, the inherent high dimensionality, noise, and variability of microbiome data present substantial obstacles to conventional statistical methods and machine learning techniques. Even the promising deep learning (DL) methods are not immune to these challenges.
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