A high-resolution map around the locus Om on mouse Chromosome 11.

Mamm Genome

Unité de Biologie du Développement, U.R.A.C.N.R.S. 1960, Institut Pasteur, Paris, France.

Published: February 1996

The locus Om (ovum mutant) identified in the mouse strain DDK affects the viability of (DDK x non-DDK)F1 preimplantation embryos. We previously located this locus on Chromosome (Chr) 11 close to Scya2 (Baldacci et al. Mamm. Genome 2, 100-105, 1992). Here we report a high-resolution map of the region around Om based on a large number of backcross individuals. The same region has been analyzed on the EUCIB backcross, and the two maps have been compared. The results define the proximal and distal boundaries for the Om mutation as Scya2 and D11Mit36 respectively. The distance between these two markers is about 2 cM. These data should facilitate the positional cloning and molecular characterization of Om.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s003359900030DOI Listing

Publication Analysis

Top Keywords

high-resolution map
8
map locus
4
locus mouse
4
mouse chromosome
4
chromosome locus
4
locus ovum
4
ovum mutant
4
mutant identified
4
identified mouse
4
mouse strain
4

Similar Publications

Artificial intelligence in cryo-EM protein particle picking: recent advances and remaining challenges.

Brief Bioinform

November 2024

Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO 65211, United States.

Cryo-electron microscopy (cryo-EM) has revolutionized structural biology by enabling the determination of high-resolution 3-Dimensional (3D) structures of large biological macromolecules. Protein particle picking, the process of identifying individual protein particles in cryo-EM micrographs for building protein structures, has progressed from manual and template-based methods to sophisticated artificial intelligence (AI)-driven approaches in recent years. This review critically examines the evolution and current state of cryo-EM particle picking methods, with an emphasis on the impact of AI.

View Article and Find Full Text PDF

MultiTax-human: an extensive and high-resolution human-related full-length 16S rRNA reference database and taxonomy.

Microbiol Spectr

January 2025

State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Considering that the human microbiota plays a critical role in health and disease, an accurate and high-resolution taxonomic classification is thus essential for meaningful microbiome analysis. In this study, we developed an automatic system, named MultiTax pipeline, for generating taxonomy from full-length 16S rRNA sequences using the Genome Taxonomy Database and other existing reference databases. We first constructed the MultiTax-human database, a high-resolution resource specifically designed for human microbiome research and clinical applications.

View Article and Find Full Text PDF

Mapping the spatial atlas of the human bone tissue integrating spatial and single-cell transcriptomics.

Nucleic Acids Res

January 2025

Tulane Center for Biomedical Informatics and Genomics, Deming Department of Medicine, School of Medicine, Tulane University, 1440 Canal Street, Downtown, New Orleans, LA 70112, USA.

Bone is a multifaceted tissue requiring orchestrated interplays of diverse cells within specialized microenvironments. Although significant progress has been made in understanding cellular and molecular mechanisms of component cells of bone, revealing their spatial organization and interactions in native bone tissue microenvironment is crucial for advancing precision medicine, as they govern fundamental signaling pathways and functional dependencies among various bone cells. In this study, we present the first integrative high-resolution map of human bone and bone marrow, using spatial and single-cell transcriptomics profiling from femoral tissue.

View Article and Find Full Text PDF

Atomically precise clusters such as [Pt(CO)(PPh)] ( = 1,2) (PPh is triphenylphosphine) are known as precursors for making oxidation catalysts. However, the changes occurring to the cluster upon thermal activation during the formation of the active catalyst are poorly understood. We have used a combination of hybrid mass spectrometry and surface science to map the thermal decomposition of [Pt(CO)(PPh)](NO).

View Article and Find Full Text PDF

Powdery mildew, caused by the fungus , is one of the primary causes of grape yield loss across the globe. While numerous resistance loci have been identified in various grapevine species, the genetic determinants of susceptibility to remain largely unexplored. Understanding the genetics of susceptibility for pathogenesis is equally important for developing durable resistance grapevines against this pathogen.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!