Results 121 to 130 of about 60,956 (264)

Structural Analogies among Avian Retroviral DNAs and Transposable Elements

Cold Spring Harbor Symposia on Quantitative Biology, 1981
A, Skalka, G, Ju, F, Hishinuma, P J, DeBona, S, Astrin   +4 more
openaire   +2 more sources

Molecular Stratification of Antiphospholipid Syndrome Through Integrative Analysis of the Whole‐Blood RNA Transcriptome

Arthritis &Rheumatology, EarlyView.
Objective Antiphospholipid syndrome (APS) is a thromboinflammatory disorder characterized by clinical and mechanistic heterogeneity that complicates early diagnosis and hinders targeted treatment. We aimed to identify distinct molecular endotypes among antiphospholipid antibody (aPL)–positive patients using whole‐blood transcriptomics.
Amala Ambati, Feiyang Ma, Katarina Kmetova, Sherwin Navaz, Claire K. Hoy, Cyrus Sarosh, Ajay Tambralli, Erika Navarro‐Mendoza, Johann E. Gudjonsson, J. Michelle Kahlenberg, Jacqueline A. Madison, Alí Duarte‐García, Jason S. Knight, Yu Zuo   +13 more
wiley   +1 more source

Homotypic Transposable Element Pairing May Drive Coherent Chromatin Folding. [PDF]

Genes (Basel)
Myakishev-Rempel M.
europepmc   +1 more source

Multi‐omic profiling reveals immune cell priming signature linked to lupus prognosis

Arthritis &Rheumatology, Accepted Article.
Objective Systemic lupus erythematosus (SLE) is a multi‐organ disease with widespread immune dysregulation and significant unmet clinical need. Blood‐based gene expression studies have advanced our understanding of SLE pathogenesis but may overlook critical tissue‐specific mechanisms that drive disease heterogeneity and progression.
Michael A. Smith, Dominic Sinibaldi, Saifur Rahman, Chia‐Chien Chiang, Anna M. Hansen, Jill Henault, Carlos P. Roca, Shu Wang, Kamelia Zerrouki, Rebecca Filippi, Christopher Groves, Zerai Manna, Jun Chu, Michael Davis, Sarthak Gupta, Christopher Morehouse, Melissa de los Reyes, Rachel Ettinger, Roland Kolbeck, Mariana J. Kaplan, Miguel A. Sanjuan, Richard M. Siegel, Sarfaraz A. Hasni, Kerry A. Casey   +23 more
wiley   +1 more source

Phenazine‐Based Synthetic Biology to Signal Between Cells and Electrodes

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Bioelectronic systems that enable seamless communication between electronic devices and living systems represent a transformative frontier in biotechnology. Among available methodologies, redox based signaling offers unique advantages due to its ubiquity in biology and compatibility with standard electrochemical equipment, expanding on ...
Eric VanArsdale, Monica Chu, Sally Wang, Divya Muthusamy, Eric Wold, Yi Liu, G. F. Payne, Tanya Tschirhart, W. E. Bentley   +8 more
wiley   +1 more source

Viral mimicry acts as a tumor suppressor in colitis. [PDF]

Nat Commun
Larsen F, Jeong W, Schep D, Good HJ, Shin AE, Zhang L, Derouet MF, Wang TC, Castellani CA, Shooshtari P, Asfaha S.   +10 more
europepmc   +1 more source

The power of many: when genetics met yeasts and high‐throughput

Biological Reviews, EarlyView.
ABSTRACT In recent years, complex technological capabilities have evolved, driven by the need to solve complex and integrative biological questions through global analyses. New equipment allows the scaling up and automation of processes which previously were carried out on a very limited scale.
Víctor A. Tallada, Víctor Carranco
wiley   +1 more source

Report on the seventh Japanese meeting on biological function and evolution through interactions between hosts and transposable elements. [PDF]

Mob DNA
Ichiyanagi K, Ikeda Y, Saito K.
europepmc   +1 more source

Mammary Tumor Virus DNA: A Glucocorticoid-responsive Transposable Element

Cold Spring Harbor Symposia on Quantitative Biology, 1978
K R, Yamamoto, M R, Stallcup, J, Ring, G M, Ringold   +3 more
openaire   +2 more sources

Automated CLL cell population detection using a weakly supervised approach and CLL MRD flow cytometry data

Cytometry Part B: Clinical Cytometry, EarlyView.
Abstract Minimal/measurable residual disease detection is routinely performed as part of post‐diagnostic treatment plans for many types of cancer, for which multiparameter flow cytometry is one possible modality frequently used. We propose a machine learning approach for binary prediction of minimal residual disease status with flow cytometry data. Our
Wikum Dinalankara, Chandler Sy, Jiani Chai, Paul B. Barone, Luigi Marchionni, Paul D. Simonson   +5 more
wiley   +1 more source