CHAO LIU^*

BIOCELL, Vol.48, No.2, pp. 339-351, 2024, DOI:10.32604/biocell.2023.047044

Abstract Introduction: Osteoarthritis (OA) is still an important health problem, and understanding its pathological mechanisms is essential for its diagnosis and treatment. There is evidence that autophagy may play a role in OA progression, but the exact mechanism remains unclear. Methods: In this study, we adopted a multi-prong approach to systematically identify the key autophagy-related genes (ARGs) associated with OA. Through weighted gene co-expression network analysis, we initially identified significant gene modules associated with OA. Subsequent differential gene analysis performed on normal and OA specimens. Further analysis later using the MCC algorithm highlighted hub ARGs. These genes were then incorporated into… More >

JINFANG HU^1,#, JIANGEN AO^2,#, LONGSHENG FU^1,#, YAOQI WU¹, FENG SHAO³, TIANTIAN XU¹, MINGJIN JIANG⁴, SHAOFENG XIONG¹, YANNI LV^1,*

BIOCELL, Vol.47, No.7, pp. 1611-1622, 2023, DOI:10.32604/biocell.2023.028684

Abstract Background: The attenuation function of Dalbergia odorifera leaves on cerebral ischemia-reperfusion (I/R) is little known. The candidate targets for the Chinese herb were extracted from brain tissues through the high-affinity chromatography. The molecular mechanism of D. odorifera leaves on cerebral I/R was investigated. Methods: Serial affinity chromatography based on D. odorifera leaves extract (DLE) affinity matrices were applied to find specific binding proteins in the brain tissues implemented on C57BL/6 mice by intraluminal middle cerebral artery occlusion for 1 h and reperfusion for 24 h. Specific binding proteins were subjected to mass-spectrometry to search for the differentially expressed proteins between… More >

CAN CHEN^#, RUI FENG^#, ZONGQIONG ZHANG^#, XIUZHONG XIA, BAOXUAN NONG, YU ZENG, HUI GUO, XINGHAI YANG^*, DANTING LI^*

BIOCELL, Vol.47, No.2, pp. 409-421, 2023, DOI:10.32604/biocell.2023.023543

Abstract Plant height (PH) is a complex trait regulated by the environment and multiple genes. PH directly affects crop yield, harvest index, and lodging resistance. From plant dwarf mutants, many genes related to PH have been identified and described. Nonetheless, the molecular mechanism of height regulation in high-culm rice mutants has not been well studied. By using transcriptome and weighted gene co-expression network analysis (WGCNA), we identified the differentially expressed genes (DEGs) between high-culm rice mutants (MUT) and wild-type (WT) and explored the key pathways and potential candidate genes involved in PH regulation. Transcriptome analysis identified a total of 2,184 DEGs,… More >

JUNXIA LIU¹, KE PANG², FEI HE^2,*

BIOCELL, Vol.46, No.7, pp. 1661-1673, 2022, DOI:10.32604/biocell.2022.018023

Abstract Breast cancer is one of the most common cancers in the world and seriously threatens the health of women worldwide. Prognostic models based on immune-related genes help to improve the prognosis prediction and clinical treatment of breast cancer patients. In the study, we used weighted gene co-expression network analysis to construct a co-expression network to screen out highly prognostic immune-related genes. Subsequently, the prognostic immune-related gene signature was successfully constructed from highly immune-related genes through COX regression and LASSO COX analysis. Survival analysis and time receiver operating characteristic curves indicate that the prognostic signature has strong predictive performance. And we… More >

MENGYI TANG^1,2,3,4,#, BOWEN YANG^1,2,3,4,#, CHUANG ZHANG^1,2,3,4, CHAOXU ZHANG^1,2,3,4, DAN ZANG^1,2,3,4, LIBAO GONG^1,2,3,4, YUNPENG LIU^1,2,3,4, ZHI LI^1,2,3,4,*, XIUJUAN QU^1,2,3,4,*

BIOCELL, Vol.45, No.4, pp. 911-921, 2021, DOI:10.32604/biocell.2021.010119

Abstract Distal gastric cancer (DGC) is a subgroup of gastric cancer (GC), which has different molecular characteristics from proximal gastric cancer (PGC). These differences result in different overall survival (OS) rates; however, data pertaining to the survival rate in PGC or DGC are contradictory. This suggests that the location of GC is not the unique cause of the different survival rates, while the molecular characteristics might be more important factors determining the prognosis of DGC. Therefore, the aim of this study was to discover key prognostic factors in DGC using bioinformatic methods and to explore the potential molecular mechanism. The Cancer… More >