Searching journal content for articles similar to Starkuviene et al. 14 (10a): 1948.

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Method: A high-throughput screening method for selecting feature SNPs to evaluate breed diversity and infer ancestry
- Meilin Zhang,
- Heng Du,
- Yu Zhang,
- Yue Zhuo,
- Zhen Liu,
- Yahui Xue,
- Lei Zhou,
- Sixuan Zhou,
- Wanying Li,
- and Jian-Feng Liu
Genome Res. August 2025 35: 1875-1886; Published in Advance July 15, 2025, doi:10.1101/gr.280176.124
.... However, when the coverage of sequencing >20×, the novel-identified SNPs tend to reach trough (Supplemental Fig. S1; Supplemental Methods). Simultaneously, compared with the SNP chip, the deep-coverage sequencing detected hundreds to thousands of times more SNPs, putting more pressure on algorithms...
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Research: ISWI1 complex proteins facilitate developmental genome editing in Paramecium
- Aditi Singh,
- Lilia Häußermann,
- Christiane Emmerich,
- Emily Nischwitz,
- Brandon K.B. Seah,
- Falk Butter,
- Mariusz Nowacki,
- and Estienne C. Swart
Genome Res. January 2025 35: 93-108; Published in Advance November 14, 2024, doi:10.1101/gr.278402.123
...“forbidden”-length IES excision. Here, we identified and investigated the contribution to IES excision of ISWI1 complex subunits.ResultsIdentifying putative components of the ISWI1 complexPreviously, we performed coimmunoprecipitation (co-IP) of 3XFLAG-HA-tagged ISWI1 (Singh et al. 2022). After ISWI1...
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Research: Characterization of DNA methylation reader proteins in Arabidopsis thaliana
- Jonathan Cahn,
- James P.B. Lloyd,
- Ino D. Karemaker,
- Pascal W.T.C. Jansen,
- Jahnvi Pflueger,
- Owen Duncan,
- Jakob Petereit,
- Ozren Bogdanovic,
- A. Harvey Millar,
- Michiel Vermeulen,
- and Ryan Lister
Genome Res. December 2024 34: 2229-2243; Published in Advance December 4, 2024, doi:10.1101/gr.279379.124
...used an unbiased screening approach to identify DNA methylation-binding proteins in Arabidopsis and characterized the binding profiles of seven of these: MBD1, MBD2, MBD4, MBD5, MBD6, SUVH1, and SUVH3. While some of these mC readers had overlapping binding sites within the , clear differences between...
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Method: QuadST identifies cell–cell interaction–changed genes in spatially resolved transcriptomics data
- Xiaoyu Song,
- Yuqing Shang,
- Michelle E. Ehrlich,
- Panos Roussos,
- Guo-Cheng Yuan,
- and Pei Wang
Genome Res. August 2025 35: 1821-1831; Published in Advance June 23, 2025, doi:10.1101/gr.279859.124
...QuadST identifies cell–cell interaction–changed genes in spatially resolved transcriptomics data Xiaoyu Song1, Yuqing Shang1, Michelle E. Ehrlich2, Panos Roussos3,4, Guo-Cheng Yuan5 and Pei Wang6 1Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore 169857; 2Departments of Neurology...
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Research: KRAB zinc-finger proteins regulate endogenous retroviruses to sculpt germline transcriptomes and genome evolution
- Kai Otsuka,
- Akihiko Sakashita,
- So Maezawa,
- Richard M. Schultz,
- and Satoshi H. Namekawa
Genome Res. March 2025 35: 417-431; Published in Advance March 12, 2025, doi:10.1101/gr.279924.124
...KRAB zinc-finger proteins regulate endogenous retroviruses to sculpt germline transcriptomes and evolution Kai Otsuka1,2, Akihiko Sakashita3,4, So Maezawa2, Richard M. Schultz1,5 and Satoshi H. Namekawa1,3 1Department of Microbiology and Molecular Genetics, University of California, Davis...
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Research: Analysis of a cell-free DNA–based cancer screening cohort links fragmentomic profiles, nuclease levels, and plasma DNA concentrations
- Yasine Malki,
- Guannan Kang,
- W.K. Jacky Lam,
- Qing Zhou,
- Suk Hang Cheng,
- Peter P.H. Cheung,
- Jinyue Bai,
- Ming Lok Chan,
- Chui Ting Lee,
- Wenlei Peng,
- Yiqiong Zhang,
- Wanxia Gai,
- Winsome W.S. Wong,
- Mary-Jane L. Ma,
- Wenshuo Li,
- Xinzhou Xu,
- Zhuoran Gao,
- Irene O.L. Tse,
- Huimin Shang,
- L.Y. Lois Choy,
- Peiyong Jiang,
- K.C. Allen Chan,
- and Y.M. Dennis Lo
Genome Res. January 2025 35: 31-42; Published in Advance November 27, 2024, doi:10.1101/gr.279667.124
.... 2019; Chan et al. 2020), as well as the presence of DNASE1L3 protein in plasma (Chen et al. 2022). We also identified DNA fragmentation factor subunit beta (DFFB) as a major player in the fragmentation of newly released DNA from dying cells (Han et al. 2020b). We hypothesized that the process...
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Research: Analysis of canine gene constraint identifies new variants for orofacial clefts and stature
- Reuben M. Buckley,
- Nüket Bilgen,
- Alexander C. Harris,
- Peter Savolainen,
- Cafer Tepeli,
- Metin Erdoğan,
- Aitor Serres Armero,
- Dayna L. Dreger,
- Frank G. van Steenbeek,
- Marjo K. Hytönen,
- Heidi G. Parker,
- Jessica Hale,
- Hannes Lohi,
- Bengi Çınar Kul,
- Adam R. Boyko,
- and Elaine A. Ostrander
Genome Res. May 2025 35: 1080-1093; Published in Advance March 24, 2025, doi:10.1101/gr.280092.124
...metrics (Gough et al. 2018; Plassais et al. 2019; Dutrow et al. 2022; Morrill et al. 2022).In humans, candidate trait and disease variants are generally identified using a combination of strategies, including multiple species alignment, protein structure predictions, gene mutation tolerance, and machine...
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Research: Machine learning identifies activation of RUNX/AP-1 as drivers of mesenchymal and fibrotic regulatory programs in gastric cancer
- Milad Razavi-Mohseni,
- Weitai Huang,
- Yu A. Guo,
- Dustin Shigaki,
- Shamaine Wei Ting Ho,
- Patrick Tan,
- Anders J. Skanderup,
- and Michael A. Beer
Genome Res. May 2024 34: 680-695; Published in Advance May 22, 2024, doi:10.1101/gr.278565.123
.... Using the ATAC-seq data, we developed a machine learning approach to determine the transcription factors (TFs) regulating the subtypes of GC. We identified TFs driving the mesenchymal (RUNX2, ZEB1, SNAI2, AP-1 dimer) and the epithelial (GATA4, GATA6, KLF5, HNF4A, FOXA2, GRHL2) states in GC. We...
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Research: TP53-inducible putative long noncoding RNAs encode functional polypeptides that suppress cell proliferation
- Wenli Xu,
- Chang Liu,
- Bing Deng,
- Penghui Lin,
- Zhenghua Sun,
- Anrui Liu,
- Jiajia Xuan,
- Yuying Li,
- Keren Zhou,
- Xiaoqin Zhang,
- Qiaojuan Huang,
- Hui Zhou,
- Qingyu He,
- Bin Li,
- Lianghu Qu,
- and Jianhua Yang
Genome Res. June 2022 32: 1026-1041; Published in Advance May 24, 2022, doi:10.1101/gr.275831.121
...; Supplemental Table S1). We further identified 2012 candidates as TP53-regulated protein genes in response to DNA damage by overlapping the two comparison groups (Supplemental Fig. S2C; Supplemental Table S1). In addition, by performing an integrative analysis of all four RNA-seq data sets (WT-ADR+, WT-ADR−, TP...
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Method: TFcomb identifies transcription factor combinations for cellular reprogramming based on single-cell multiomics data
- Chen Li,
- Sijie Chen,
- Yixin Chen,
- Haiyang Bian,
- Minsheng Hao,
- Lei Wei,
- and Xuegong Zhang
Genome Res. June 2025 35: 1429-1439; Published in Advance April 10, 2025, doi:10.1101/gr.279955.124
...reprogramming TF identification, current methods often fail to put the real effective reprogramming TFs at the top. To address these challenges, we developed TFcomb, a computational method that leverages single-cell multiomics data to identify reprogramming TFs and TF combinations. We modeled the task...

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