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Last update 08 May 2025

FLII

Last update 08 May 2025

Basic Info

Synonyms

FLI, Fli1, FLII

+ [4]

Introduction

Is a regulator of actin polymerization, required for proper myofibril organization and regulation of the length of sarcomeric thin filaments (By similarity). It also plays a role in the assembly of cardiomyocyte cell adhesion complexes (By similarity). Regulates cytoskeletal rearrangements involved in cytokinesis and cell migration, by inhibiting Rac1-dependent paxillin phosphorylation (By similarity). May play a role as coactivator in transcriptional activation by hormone-activated nuclear receptors (NR) and acts in cooperation with NCOA2 and CARM1 (PubMed:14966289). Involved in estrogen hormone signaling.

Drugs associated with FLII

ERG/FLI1 Inhibitor(University of Virginia)

Target

ERG x FLII

Mechanism

ERG degraders [+1]

Active Org.

University of Virginia

Originator Org.

University of Virginia

Active Indication

Acute Lymphoblastic Leukemia [+2]

Inactive Indication-

Drug Highest PhasePreclinical

First Approval Ctry. / Loc.-

First Approval Date20 Jan 1800

100 Clinical Results associated with FLII

100 Translational Medicine associated with FLII

0 Patents (Medical) associated with FLII

878

Literatures (Medical) associated with FLII

01 Jul 2025·Journal of Biotechnology

Engineering adaptive alleles for Escherichia coli growth on sucrose using the EasyGuide CRISPR system

Article

Author: Jacobus, Ana Paula ; Lacôrte E Silva, Matheus Victor Maso ; Gross, Jeferson ; Marin, Danieli Canaver ; Brienzo, Michel ; Barreto, Joneclei Alves ; Contiero, Jonas

Adaptive Laboratory Evolution (ALE) is a powerful approach for mining genetic data to engineer industrial microorganisms. This evolution-informed design requires robust genetic tools to incorporate the discovered alleles into target strains. Here, we introduce the EasyGuide CRISPR, a five-plasmid platform that exploits E. coli's natural recombination system to assemble gRNA plasmids from overlapping PCR fragments. The production of gRNAs and donor DNA is further facilitated by using recombination cassettes generated through PCR with 40-60-mer oligos. With the new CRISPR toolkit, we constructed 22 gene edits in E. coli DH5α, most of which corresponded to alleles mapped in E. coli DH5α and E2348/69 ALE populations selected for sucrose propagation. For DH5α ALE, sucrose consumption was supported by the cscBKA operon expression from a high-copy plasmid. During ALE, plasmid integration into the chromosome, or its copy number reduction due to the pcnB deletion, conferred a 30-35 % fitness gain, as demonstrated by CRISPR-engineered strains. A ∼5 % advantage was also associated with a ∼40.4 kb deletion involving fli operons for flagella assembly. In E2348/69 ALE, inactivation of the hfl system suggested selection pressures for maintaining λ-prophage dormancy (lysogeny). We further enhanced our CRISPR toolkit using yeast for in vivo assembly of donors and expression cassettes, enabling the establishment of polyhydroxybutyrate synthesis from sucrose. Overall, our study highlights the importance of combining ALE with streamlined CRISPR-mediated allele editing to advance microbial production using cost-effective carbon sources.

01 May 2025·The Prostate

Transcriptome‐Wide Association Study Identified Novel Blood Tissue Gene Biomarkers for Prostate Cancer Risk

Article

Author: Zhong, Hua ; Yu, Jie ; Liu, Yanhui ; Liu, Jiawen ; Wang, Liang ; Wu, Lang ; Zhang, Zichen ; Zhu, Jingjing ; Deng, Youping ; Sun, Yanfa ; Nakamura, Akira ; Zeng, Guanghua ; Wang, Fubo ; Lin, Xin ; Zhou, Dan ; Wu, Chong

ABSTRACTObjectiveA number of susceptibility genes in prostate tissue have been identified to be associated with prostate cancer (PCa) risk. However, the reported genes based on assessing prostate tissue could not fully explain PCa genetic susceptibility. It is believed that genes functioning in the immune system may fill in the gap of some missing heritability.MethodsTo study potential susceptibility genes acting in such pathways, we performed a transcriptome‐wide association study (TWAS) of 79,194 PCa cases and 61,112 control of European ancestry by using three sets of gene expression prediction models of blood tissue.ResultsA total of 470 genes were associated at false discovery rates‐corrected p‐value < 0.05, of which 51 were implicated as likely causal genes based on fine‐mapping analysis. Compared with previous literature, 133 novel genes were reported for the first time. Of the identified genes, five (CREB3L4, GSTP1, MAPK3, NKX3‐1, and PIK3C2B) were enriched in a PCa signaling pathway, and 128 genes were enriched in five PCa categories. Importantly, 13 genes (SCP2, LMNA, ZNF148, H2AFV, TACC1, FLII, SUPT4H1, CD300LF, MYO9B, COX6B1, CTSA, EP300, and TSPO) showed consistent effect directions for the measured levels in circulating immune cells between PCa cases and controls, and 14 genes (SLC39A1, ZBTB7B, TRIM59, NCEH1, N4BP2, TAGAP, TACC1, TRAF1, AIP, SECTM1, C18orf54, ZNF793, YIF1B, and TSPO) showed consistency for levels in blood exosomes between PCa patients and controls.ConclusionThe identified blood‐based candidate susceptibility genes provide further insights into the genetic basis of PCa risk.

01 Apr 2025·Liver International

Exploring the potential of large language models in identifying metabolic dysfunction‐associated steatotic liver disease: A comparative study of non‐invasive tests and artificial intelligence‐generated responses

Article

Author: Jia, Congzhuo ; Wu, Wanying ; Li, Qi ; Guo, Yuhu

AbstractBackground and AimsThis study sought to assess the capabilities of large language models (LLMs) in identifying clinically significant metabolic dysfunction‐associated steatotic liver disease (MASLD).MethodsWe included individuals from NHANES 2017–2018. The validity and reliability of MASLD diagnosis by GPT‐3.5 and GPT‐4 were quantitatively examined and compared with those of the Fatty Liver Index (FLI) and United States FLI (USFLI). A receiver operating characteristic curve was conducted to assess the accuracy of MASLD diagnosis via different scoring systems. Additionally, GPT‐4V's potential in clinical diagnosis using ultrasound images from MASLD patients was evaluated to provide assessments of LLM capabilities in both textual and visual data interpretation.ResultsGPT‐4 demonstrated comparable performance in MASLD diagnosis to FLI and USFLI with the AUROC values of .831 (95% CI .796–.867), .817 (95% CI .797–.837) and .827 (95% CI .807–.848), respectively. GPT‐4 exhibited a trend of enhanced accuracy, clinical relevance and efficiency compared to GPT‐3.5 based on clinician evaluation. Additionally, Pearson's r values between GPT‐4 and FLI, as well as USFLI, were .718 and .695, respectively, indicating robust and moderate correlations. Moreover, GPT‐4V showed potential in understanding characteristics from hepatic ultrasound imaging but exhibited limited interpretive accuracy in diagnosing MASLD compared to skilled radiologists.ConclusionsGPT‐4 achieved performance comparable to traditional risk scores in diagnosing MASLD and exhibited improved convenience, versatility and the capacity to offer user‐friendly outputs. The integration of GPT‐4V highlights the capacities of LLMs in handling both textual and visual medical data, reinforcing their expansive utility in healthcare practice.

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