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  1. ...transcriptomic data is hindered by high noise levels and missing gene measurements, challenges that are further compounded by the higher cost of spatial data compared to traditional single-cell data. To overcome this challenge, we introduce spRefine, a deep learning framework that leverages genomic language...
  2. ....scPSS identifies damaged cells and damage progression in mouse infarcted heart tissueWe validated scPSS using single-cell transcriptomic data from mouse hearts before and after myocardial infarction (MI) (Calcagno et al. 2022). The data set contains labeled cardiomyocytes (CMs) from three distinct regions...
  3. ...Genome Res GENOME Genome Research Genome Res. Genome Res 1088-9051 Cold Spring Harbor Laboratory Press 10.1101/gr.281287.125 ;gr.281287.125v1 ;gr.281287.125 gr.281287.125 gr.281287.125 Resource Resource Resources Lignature for signaling inference The Johns Hopkins University School of Medicine...
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  4. ...expectations for when differential gene expression should matter. Here, we collated existing data into a gene-regulatory network (GRN) and performed developmental transcriptomics across different environmental conditions, genetic backgrounds, and mutants to assess the regulatory logic of mouth-form plasticity...
  5. ...show that the genomic distribution of ACTB is SETD3-dependent and that this regulation modulates the transcription of genes involved in cell adhesion and mRNA translation in colorectal cancer cells. Proteomic analyses reveal that ACTB and SETD3 interact with multiple large protein complexes, including...
  6. ...310022, China; 9State Key Laboratory for Macromolecule Drugs and Large-scale Manufacturing, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325030, China ↵10 These authors contributed equally to this work. Corresponding authors: wuyf@immunol.org, reny@genomics.cn, jingang...
  7. .... Corresponding authors: chen_jiekai@gibh.ac.cn, lin_lihui@gibh.ac.cnAbstractIntegration of single-cell and spatial transcriptomes represents a fundamental strategy to enhance spatial data quality. However, existing methods for mapping single-cell data to spatial coordinates struggle with large-scale data sets...
  8. ...indices, genomic prediction enables accurate performance predictions. Genome-wide association studies (GWASs) detected genetic loci associated with the plastic response to the identified environmental indices for all examined traits. By systematically uncovering the major environmental and genomic factors...
  9. .../ fish using transcriptomics, genomics and frames it in an evolutionary 546 perspective. 547 548 Materials and Methods 549 Animal studies 550 Juvenile Atlantic salmon (~70g) of commercial origin were maintained in 250L freshwater 551 tanks in the Zoology building aquarium at the University of Aberdeen...
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  10. ...progeny of both sexes (Woodruff et al. 2010; Xie et al. 2022, 2024). This parallel asymmetry in sizes and gene flow suggests that unique genomic components in C. nigoni underlie the numerous HI phenotypes observed between these species (Bi et al. 2015, 2019; Xie et al. 2024). Transcriptomic analyses have...
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