FAM98A

Last update 08 May 2025

Basic Info

Synonyms

DKFZP564F0522, FAM98A, family with sequence similarity 98 member A

+ [1]

Introduction

Positively stimulates PRMT1-induced protein arginine methylation (PubMed:28040436). Involved in skeletal homeostasis (By similarity). Positively regulates lysosome peripheral distribution and ruffled border formation in osteoclasts (By similarity).

100 Clinical Results associated with FAM98A

100 Translational Medicine associated with FAM98A

0 Patents (Medical) associated with FAM98A

Literatures (Medical) associated with FAM98A

01 Apr 2025·International Journal of Biological Macromolecules

Genome-wide CRISPR screen reveals host factors for gama- and delta-coronavirus infection in Huh7 cells

Article

Author: Wang, Hongning ; Song, Cailiang ; Zhang, Tiejun ; Li, Yuqing ; Li, Hao ; Yang, Xin

Genome-wide CRISPR screening has emerged as a powerful tool for identifying novel host factors involved in viral infections. In recent years, host factors for several Alpha- and Beta-coronaviruses have been systematically screened and characterized. However, knowledge regarding Gamma- and Delta-coronavirus infections remains limited. In this study, we conducted genome-scale CRISPR knockout (KO) screening in Huh7 cells infected with infectious bronchitis virus (IBV), a Gamma-coronavirus, and porcine deltacoronavirus (PDCoV), a Delta-coronavirus. We identified known host factors for PDCoV, including APN and TMEM41B. We confirmed that human APN does not serve as a critical host factor for IBV. Notably, SPPL3 was identified as a key factor involved in viral particle entry and S protein-induced syncytium formation through the modulation of cellular N-glycosylation. Furthermore, we performed a meta-analysis integrating all Huh7 cell-based genome-wide CRISPR screens across the four genera of coronaviruses (Alpha-, Beta-, Gamma-, and Delta-coronaviruses). Our analysis highlighted conserved host pathways, particularly those related to proteoglycans, glycoproteins, and vesicle trafficking. TMEM41B, SCAP, and FAM98A emerged as the most frequently targeted host genes. These findings provide valuable insights into the life cycles of IBV and PDCoV infections and facilitate the development of host-directed therapeutic strategies.

30 Apr 2024·Endocrinology and Metabolism

Protein Signatures of Parathyroid Adenoma according to Tumor Volume and Functionality

Article

Author: Han, Dohyun ; Kong, Sung Hye ; Kim, Sang Wan ; Shin, Chan Soo ; Bae, Jeong Mo ; Kim, Jung Hee

Background: Parathyroid adenoma (PA) is a common endocrine disease linked to multiple complications, but the pathophysiology of the disease remains incompletely understood. The study aimed to identify the key regulator proteins and pathways of PA according to functionality and volume through quantitative proteomic analyses.Methods: We conducted a retrospective study of 15 formalin-fixed, paraffin-embedded PA samples from tertiary hospitals in South Korea. Proteins were extracted, digested, and the resulting peptides were analyzed using liquid chromatography-tandem mass spectrometry. Pearson correlation analysis was employed to identify proteins significantly correlated with clinical variables. Canonical pathways and transcription factors were analyzed using Ingenuity Pathway Analysis.Results: The median age of the participants was 52 years, and 60.0% were female. Among the 8,153 protein groups analyzed, 496 showed significant positive correlations with adenoma volume, while 431 proteins were significantly correlated with parathyroid hormone (PTH) levels. The proteins SLC12A9, LGALS3, and CARM1 were positively correlated with adenoma volume, while HSP90AB2P, HLA-DRA, and SCD5 showed negative correlations. DCPS, IRF2BPL, and FAM98A were the main proteins that exhibited positive correlations with PTH levels, and SLITRK4, LAP3, and AP4E1 had negative correlations. Canonical pathway analysis demonstrated that the RAN and sirtuin signaling pathways were positively correlated with both PTH levels and adenoma volume, while epithelial adherence junction pathways had negative correlations.Conclusion: Our study identified pivotal proteins and pathways associated with PA, offering potential therapeutic targets. These findings accentuate the importance of proteomics in understanding disease pathophysiology and the need for further research.

11 Dec 2023·Animal Biotechnology

Genomic association using principal components of morphometric traits in horses: identification of genes related to bone growth.

Article

Author: Solar Diaz, Iara del Pilar ; de Araújo de Oliveira, Chiara Albano ; de Godói, Fernanda Nascimento ; Costa, Raphael Bermal ; Solar Diaz, Iara Del Pilar ; Bastos, Marisa Silva ; Alves, Jackeline Santos ; de Oliveira, Louise Sarmento Martins ; de Camargo, Gregório Miguel Ferreira

The measurement of morphometric traits in horses is important for determining breed qualification and is one of the main selection criteria for the species. The development of an index (HPC) that consists of principal components weighted by additive genetic values allows to explore the most relevant relationships using a reduced number of variables that explain the greatest amount of variation in the data. Genome-wide association studies (GWAS) using HPC are a relatively new approach that permits to identify regions related to a set of traits. The aim of this study was to perform GWAS using HPC for 15 linear measurements as the explanatory variable in order to identify associated genomic regions and to elucidate the biological mechanisms linked to this index in Campolina horses. For GWAS, weighted single-step GBLUP was applied to HPC. The eight genomic windows that explained the highest proportion of additive genetic variance were identified. The sum of the additive variance explained by the eight windows was 95.89%. Genes involved in bone and cartilage development were identified (SPRY2, COL9A2, MIR30C, HEYL, BMP8B, LTBP1, FAM98A, and CRIM1). They represent potential positional candidates for the HPC of the linear measurements evaluated. The HPC is an efficient alternative to reduce the 15 usually measured traits in Campolina horses. Moreover, candidate genes inserted in region that explained high additive variance of the HPC were identified and might be fine-mapped for searching putative mutation/markers.

Analysis

Perform a panoramic analysis of this field.

view full example data

AI Agents Built for Biopharma Breakthroughs

Accelerate discovery. Empower decisions. Transform outcomes.

Get started for free today!

Accelerate Strategic R&D decision making with Synapse, PatSnap’s AI-powered Connected Innovation Intelligence Platform Built for Life Sciences Professionals.

Start your data trial now!

Synapse data is also accessible to external entities via APIs or data packages. Empower better decisions with the latest in pharmaceutical intelligence.

Bio

Bio Sequences Search & Analysis

Chemical

Chemical Structures Search & Analysis

FAM98A

Basic Info

Related

Analysis