Results 81 to 90 of about 11,465 (256)

Single‐cell DNA methylation profiling: Technologies, computation, and applications in precision oncology

Molecular Oncology, EarlyView.
Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley   +1 more source

Targeting transcription factors associated with hemoglobinopathies: Lessons from successful interventions and implications for cancer

Molecular Oncology, EarlyView.
This review summarizes the transcription factors, repressive chromatin‐modifying complexes, and epigenetic mechanisms that control fetal hemoglobin repression. Notably, many regulators of γ‐globin silencing also function in transcriptional and epigenetic networks that drive cancer, highlighting opportunities to translate advances in hemoglobinopathy ...
Meigen Yu, Puspa Das, Xing Zhang, Xiaodong Cheng   +3 more
wiley   +1 more source

Spatial biology in cancer epigenetics

Molecular Oncology, EarlyView.
Spatial epigenomics combines molecular profiling with tissue architecture to reveal how gene regulation is organized within intact tissues. In cancer, these technologies uncover the mechanisms driving tumor heterogeneity and microenvironmental interactions, opening new opportunities for biomarker discovery and precision medicine.
Eva Crespo‐García, Manel Esteller
wiley   +1 more source

One Galaxy Sample to Rule Them All: Halo Occupation Distribution Modeling of DES Year 3 Source Galaxies

The Astrophysical Journal
For the joint analysis of second-order weak-lensing and galaxy clustering statistics, so-called 3 × 2 analyses, the selection and characterization of optimal galaxy samples is a major area of research.
Andrés N. Salcedo, Tim Eifler, Peter Behroozi   +2 more
doaj   +1 more source

Intrapatient tumour heterogeneity and clonal evolution in an autopsy study of metastatic salivary gland cancer

Molecular Oncology, EarlyView.
Tumour heterogeneity and clonal evolution of metastatic salivary gland cancer were evaluated in two patients with adenoid carcinoma and one patient with myoepithelial carcinoma. Radiology‐guided autopsy enabled multi‐region sampling (total samples n = 149), followed by whole‐genome sequencing and phylogenetic reconstruction (17 tumour samples, 4–7 per ...
Gerben Lassche, Niels J. van Ruitenbeek, Charlotte Adang, Luke O'Gorman, Pui Yuen Lee, Willemijn M. Klein, Adriana C. H. van Engen‐van Grunsven, Jack A. Schalken, Sander Bervoets, Gerald W. Verhaegh, Carla M. L. van Herpen   +10 more
wiley   +1 more source

Debiasing with Diffusion: Probabilistic Reconstruction of Dark Matter Fields from Galaxies with CAMELS

The Astrophysical Journal
Galaxies are biased tracers of the underlying cosmic web, which is dominated by dark matter (DM) components that cannot be directly observed. Galaxy formation simulations can be used to study the relationship between DM density fields and galaxy ...
Victoria Ono, Core Francisco Park, Nayantara Mudur, Yueying Ni, Carolina Cuesta-Lazaro, Francisco Villaescusa-Navarro   +5 more
doaj   +1 more source

ADP‐ribosylation: An emerging regulator of the epigenome

Molecular Oncology, EarlyView.
ADP‐ribosylation has emerged as a dynamic epigenetic signaling mechanism that modifies histones and chromatin‐associated proteins. Through coordinated PARylation and MARylation, it integrates with other histone modifications to regulate chromatin structure, transcription factor activity, and gene expression, influencing genome function and disease ...
Cristel V. Camacho, Chenqian Liu, W. Lee Kraus   +2 more
wiley   +1 more source

Automated FRAP microscopy for high‐throughput analysis of protein dynamics in chromatin organization and transcription

FEBS Open Bio, EarlyView.
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz, Bart Geverts, Johan A. Slotman, Andrea Sacchetti, Stefan Prekovic, Martin E. van Royen, Adriaan B. Houtsmuller   +6 more
wiley   +1 more source

The SPT-deep Cluster Catalog: Sunyaev–Zel’dovich Selected Clusters from Combined SPT-3G and SPTpol Measurements over 100 Square Degrees

The Astrophysical Journal
We present a catalog of 500 galaxy cluster candidates in the SPT-Deep field: a 100 deg ^2 field that combines data from the SPT-3G and SPTpol surveys to reach noise levels of 3.0, 2.2, and 9.0 μ K-arcmin at 95, 150, and 220 GHz, respectively.
K. Kornoelje, L. E. Bleem, E. S. Rykoff, T. M. C. Abbott, P. A. R. Ade, M. Aguena, O. Alves, A. J. Anderson, F. Andrade-Oliveira, B. Ansarinejad, M. Archipley, M. L. N. Ashby, J. E. Austermann, D. Bacon, L. Balkenhol, Matthew B. Bayliss, J. A. Beall, K. Benabed, A. N. Bender, B. A. Benson, F. Bianchini, S. Bocquet, F. R. Bouchet, D. Brooks, D. L. Burke, M. Calzadilla, M. G. Campitiello, E. Camphuis, J. E. Carlstrom, A. Carnero Rosell, J. Carretero, C. L. Chang, P. Chaubal, H. C. Chiang, P. M. Chichura, A. Chokshi, T.-L. Chou, R. Citron, A. Coerver, C. Corbett Moran, M. Costanzi, T. M. Crawford, A. T. Crites, L. N. da Costa, C. Daley, T. de Haan, J. De Vicente, S. Desai, K. R. Dibert, M. A. Dobbs, P. Doel, M. Doohan, A. Doussot, D. Dutcher, W. Everett, S. Everett, C. Feng, K. R. Ferguson, J. Mena-Fern’andez, I. Ferrero, K. Fichman, B. Flaugher, B. Floyd, A. Foster, D. Friedel, J. Frieman, S. Galli, J. Gallicchio, A. E. Gambrel, J. García-Bellido, R. W. Gardner, R. Gassis, M. Gatti, F. Ge, E. M. George, G. Giannini, N. Goeckner-Wald, S. Grandis, D. Gruen, R. A. Gruendl, R. Gualtieri, F. Guidi, S. Guns, N. Gupta, G. Gutierrez, N. W. Halverson, S. R. Hinton, E. Hivon, G. P. Holder, D. L. Hollowood, W. L. Holzapfel, K. Honscheid, J. C. Hood, J. D. Hrubes, A. Hryciuk, N. Huang, J. Hubmayr, K. D. Irwin, D. J. James, F. Kéruzoré, A. R. Khalife, M. Klein, L. Knox, M. Korman, K. Kuehn, C.-L. Kuo, O. Lahav, A. T. Lee, S. Lee, K. Levy, D. Li, M. Lima, A. E. Lowitz, A. Lowitz, C. Lu, Guillaume Mahler, A. Maniyar, J. L. Marshal, J. L. Marshall, E. S. Martsen, M. McDonald, J. J. McMahon, F. Menanteau, M. Millea, R. Miquel, J. J. Mohr, J. Montgomery, J. Myles, Y. Nakato, T. Natoli, J. P. Nibarger, G. I. Noble, V. Novosad, R. L. C. Ogando, Y. Omori, A. Ouellette, S. Padin, Z. Pan, S. Patil, M. E. S. Pereira, K. A. Phadke, A. Pieres, A. A. Plazas Malag’on, A. W. Pollak, K. Prabhu, C. Pryke, W. Quan, M. Rahimi, A. Rahlin, C. L. Reichardt, M. Rodr’iguez-Monroy, A. K. Romer, M. Rouble, J. E. Ruhl, B. R. Saliwanchik, L. Salvati, S. Samuroff, E. Sanchez, Arnab Sarkar, A. Saro, K. K. Schaffer, E. Schiappucci, T. Schrabback, I. Sevilla-Noarbe, C. Sievers, G. Smecher, M. Smith, J. A. Sobrin, T. Somboonpanyakul, B. Stalder, A. A. Stark, V. Strazzullo, E. Suchyta, M. E. C. Swanson, C. Tandoi, G. Tarle, B. Thorne, C. To, C. Trendafilova, C. Tucker, C. Umilta, T. Veach, J. D. Vieira, M. Vincenzi, A. Vitrier, Y. Wan, G. Wang, N. Weaverdyck, J. Weller, N. Whitehorn, P. Wiseman, W. L. K. Wu, V. Yefremenko, M. R. Young, J. A. Zebrowski, Y. Zhang   +195 more
doaj   +1 more source

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

FEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill, Yelyzaveta Pulnova, Elke De Zitter, Helen M. Ginn, Briony A. Yorke   +4 more
wiley   +1 more source