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A uridine-sensitized CRISPR-Cas9 screening identifies demethoxy-CoQ as an alternative electron acceptor in the absence of CoQ, and NUDT5 as a regulator of de novo pyrimidine synthesis via its interact...

Traditional metabolic studies rely on bulk tissue analyses, masking the cellular heterogeneity that underlies disease progression. Genetically encoded fluorescent biosensors now enable real-time, single-cell imaging of dynamic metabolic processes in the liver. These tools provide insights into the metabolic reprogramming in conditions such as chronic obesity, metabolic dysfunction-associated steatotic liver disease (MASLD), and hepatocellular carcinoma (HCC). By tracking specific metabolites involved in glycolysis, lipid oxidation, and the tricarboxylic acid (TCA) cycle, biosensors can reveal how these pathways respond to diverse stimuli. In this review we outline the core principles of fluorescent biosensors, provide specific recommendations for their usage, suggest possible applications in liver metabolism research, and discuss current technical challenges as well as emerging opportunities in this rapidly advancing field.

α/β-hydrolase domain-containing protein 11 (ABHD11) is a mitochondrial hydrolase, and its expression in CD4 + T-cells has been linked to remission status in rheumatoid arthritis. Here the authors repo...

PhD Project - BBSRC Yorkshire Bioscience DLA Programme: How do cells coordinate nutrient scavenging pathways? at University of Sheffield, listed on FindAPhD.com

Targeting FSP1 in lymph nodes has considerable potential for blocking melanoma progression.

The de novo purine synthesis pathway is fundamental for nucleotide production, yet the role of mitochondrial metabolism in modulating this process rem…

The 2026 Gordon Research Conference on Autophagy in Stress, Development and Disease will be held in Ventura, California. Apply today to reserve your spot.

In this Review, Easwaran and Weeraratna outline how ageing leads to epigenetic alterations in the tissue microenvironment, enhancing clonal expansion of mutations and ultimately increasing cancer risk.

This study reveals how cardiolipin governs mitochondrial morphology by modulating the activity of human OPA1 and how its replacement by monolyso-cardiolipin, as observed in Barth syndrome, impacts mitochondrial membrane-shaping mechanisms.

Abstract. Epigenomic dysregulation is widespread in cancer. However, the specific epigenomic regulators and the processes they control to drive cancer phenotypes are poorly understood. We employed a n...

Rizzollo et al. show that BDH2 participates in iron distribution between cellular compartments, which sets the threshold for the ferroptosis vulnerability of the melanoma cell phenotypes, ultimately a...

CLPP-deficiency-driven mitochondrial dysfunction in brown adipose tissue leads to the accumulation of d-2-hydroxyglutarate, in turn promoting lipid-droplet enlargement by altering gene expression and ...

In this episode of the Epigenetics Podcast, we caught up with Steven Henikoff from the Fred Hutchinson Cancer Research Center in Seattle to talk about his work on Chromatin Profiling: From ChIP to CUT&RUN, CUT&Tag and CUTAC. In the last few years Steven Henikoff has been developing methods which profile the chromatin landscape by using enzyme tethering. The quest first started with ChEC-Seq, which improved on Uli Laemmli's method of Chromatin endogenous cleavage (ChEC) but used sequencing as a read-out rather than southern blotting. Next, Cleavage Under Targets & Release Using Nuclease (CUT&RUN) was developed by making a fusion protein of Protein A and micrococcal nuclease (MNase), making it possible to achieve antibody-targeted cleavage of chromatin fragments. And finally, Cleavage Under Targets & Tagmenation (CUT&Tag) was developed by using Transposase Tn5 instead of MNase, which adds sequencing adapters and fragments chromatin at the same time, streamlining the protocol even further. In this episode we discuss how working on centromeres set the stage for Steven Henikoff’s subsequent work, how he developed CUT&RUN and CUT&Tag, what the advantages and disadvantages of those methods are and how he developed all those experiments at home in his garage.   References Takehito Furuyama, Steven Henikoff (2009) Centromeric nucleosomes induce positive DNA supercoils (Cell) DOI: 10.1016/j.cell.2009.04.049 Kristina Krassovsky, Jorja G. Henikoff, Steven Henikoff (2012) Tripartite organization of centromeric chromatin in budding yeast (Proceedings of the National Academy of Sciences of the United States of America) DOI: 10.1073/pnas.1118898109 Jorja G. Henikoff, Jitendra Thakur, … Steven Henikoff (2015) A unique chromatin complex occupies young α-satellite arrays of human centromeres (Science Advances) DOI: 10.1126/sciadv.1400234 Epigenomics Methods: ChEC-Seq, CUT&RUN, AutoCUT&RUN, Improved CUT&RUN, CUT&Tag, Automated CUT&Tag, CUTAC, scCUT&Tag.   Related Episodes The Role of Non-Histone Proteins in Chromosome Structure and Function During Mitosis (Bill Earnshaw) Hi-C and Three-Dimensional Genome Sequencing (Erez Lieberman Aiden) In Vivo Nucleosome Structure and Dynamics (Srinivas Ramachandran)   Contact Active Motif on Twitter Epigenetics Podcast on Twitter Active Motif on LinkedIn Active Motif on Facebook Email: [email protected]