Last update 01 Nov 2024

ITFG1

Last update 01 Nov 2024

Basic Info

Synonyms

CDA08, integrin alpha FG-GAP repeat containing 1, Integrin-alpha FG-GAP repeat-containing protein 1

+ [6]

Introduction

Modulator of T-cell function. Has a protective effect in graft versus host disease model (By similarity).

Drugs associated with ITFG1

CG-LR1

Target

ITFG1

Mechanism

ITFG1 inhibitors

Active Org.

Cargene TherapeuticsStartup [+1]

Originator Org.

Lerna Biopharma Pte Ltd.

Active Indication

Liver Diseases [+2]

Inactive Indication-

Drug Highest PhasePreclinical

First Approval Ctry. / Loc.-

First Approval Date20 Jan 1800

LR1

Target

ITFG1

Mechanism

ITFG1 inhibitors

Active Org.

Carcell Biopharma, Inc.Startup

Originator Org.

Lerna Biopharma Pte Ltd.

Active Indication

Fibrosis, Liver [+1]

Inactive Indication-

Drug Highest PhasePreclinical

First Approval Ctry. / Loc.-

First Approval Date20 Jan 1800

100 Clinical Results associated with ITFG1

100 Translational Medicine associated with ITFG1

0 Patents (Medical) associated with ITFG1

Literatures (Medical) associated with ITFG1

08 May 2024·Radiation Research

PUM1 and PGK1 are Favorable Housekeeping Genes over Established Biodosimetry-related Housekeeping Genes such as HPRT1, ITFG1, DPM1, MRPS5, 18S rRNA and Others after Radiation Exposure

Article

Author: Muhtadi, R ; Fatanmi, O O ; Singh, V K ; Ostheim, P ; Motzke, S ; Bunert, F ; Port, M ; Abend, M ; Schwanke, D ; Stewart, S ; Gärtner, C ; Wise, S Y ; Ruf, C ; Schüle, S

In gene expression (GE) studies, housekeeping genes (HKGs) are required for normalization purposes. In large-scale inter-laboratory comparison studies, significant differences in dose estimates are reported and divergent HKGs are employed by the teams. Among them, the 18S rRNA HKG is known for its robustness. However, the high abundance of 18S rRNA copy numbers requires dilution, which is time-consuming and a possible source of errors. This study was conducted to identify the most promising HKGs showing the least radiation-induced GE variance after radiation exposure. In the screening stage of this study, 35 HKGs were analyzed. This included selected HKGs (ITFG1, MRPS5, and DPM1) used in large-scale biodosimetry studies which were not covered on an additionally employed pre-designed 96-well platform comprising another 32 HKGs used for different exposures. Altogether 41 samples were examined, including 27 ex vivo X-ray irradiated blood samples (0, 0.5, 4 Gy), six X-irradiated samples (0, 0.5, 5 Gy) from two cell lines (U118, A549), as well as eight non-irradiated tissue samples to encompass multiple biological entities. In the independent validation stage, the most suitable candidate genes were examined from another 257 blood samples, taking advantage of already stored material originating from three studies. These comprise 100 blood samples from ex vivo X-ray irradiated (0–4 Gy) healthy donors, 68 blood samples from 5.8 Gy irradiated (cobalt-60) Rhesus macaques (RM) (LD29/60) collected 0–60 days postirradiation, and 89 blood samples from chemotherapy-(CTx) treated breast tumor patients. CTx and radiation-induced GE changes in previous studies appeared comparable. RNA was isolated, converted into cDNA, and GE was quantified employing TaqMan assays and quantitative RT-PCR. We calculated the standard deviation (SD) and the interquartile range (IQR) as measures of GE variance using raw cycle threshold (Ct) values and ranked the HKGs accordingly. Dose, time, age, and sex-dependent GE changes were examined employing the parametrical t-test and non-parametrical Kruskal Wallis test, as well as linear regression analysis. Generally, similar ranking results evolved using either SD or IQR GE measures of variance, indicating a tight distribution of GE values. PUM1 and PGK1 showed the lowest variance among the first ten most suitable genes in the screening phase. MRPL19 revealed low variance among the first ten most suitable genes in the screening phase only for blood and cells, but certain comparisons indicated a weak association of MRPL19 with dose (P = 0.02–0.09). In the validation phase, these results could be confirmed. Here, IQR Ct values from, e.g., X-irradiated blood samples were 0.6 raw Ct values for PUM1 and PGK1, which is considered to represent GE differences as expected due to methodological variance. Overall, when compared, the GE variance of both genes was either comparable or lower compared to 18S rRNA. Compared with the IQR GE values of PUM1 and PGKI, two–fivefold increased values were calculated for the biodosimetry HKG HPRT1, and comparable values were calculated for biodosimetry HKGs ITFG1, MRPS5, and DPM1. Significant dose-dependent associations were found for ITFG1 and MRPS5 (P = 0.001–0.07) and widely absent or weak (P = 0.02–0.07) for HPRT1 and DPM1. In summary, PUM1 and PGK1 appeared most promising for radiation exposure studies among the 35 HKGs examined, considering GE variance and adverse associations of GE with dose.

01 May 2019·Breast CancerQ3 · MEDICINE

Identification of genes associated with survival of breast cancer patients

Q3 · MEDICINE

Article

Author: Zhang, Qian ; Yang, Sujin ; Xu, Bin ; Zhou, Siying ; Liu, Min ; Zhong, Shanliang ; Wang, Jinyan ; Feng, Jifeng

BACKGROUNDWe aimed to investigate the potential of microRNA expression profiles to predict survival in breast cancer.METHODSMicroRNA and mRNA expression data of breast cancer were downloaded from The Cancer Genome Atlas. LASSO regression was used to identify microRNAs signature predicting survival of breast cancer patients. Transfection experiment was conducted to explore the influence of microRNAs on their potential targets.RESULTSWe identified 56 differentially expressed microRNAs in breast cancer tissues compared to adjacent normal tissues. 10 microRNAs with non-zero coefficient were selected from the 56 microRNAs using LASSO Cox regression. After predicting the targets for the 10 microRNAs, we further obtained 155 targets that were associated with overall survival of breast cancer patients. Spearman's correlation analysis found that the expression of SCUBE2, SCRN3, YTHDF3, ITFG1, ITPRIPL2, and JAK1 was an inversely correlated with their microRNAs. Transfection experiment showed that YTHDF3 was down-regulated in cells transfected with miR-106b-5p mimics compared with those transfected with negative control of mimics (fold change 4.21; P < 0.01).CONCLUSIONSIn conclusion, we identified a 10-miRNA signature associated with prognosis of breast cancer patients. The expression of YTHDF3 was down-regulated by miR-106b-5p.

01 May 2019·American Journal of Rhinology & AllergyQ2 · MEDICINE

Topical Corticosteroid Pretreatment Mitigates Cellular Damage After Caustic Injury to the Nasal Upper Airway Epithelium

Q2 · MEDICINE

Article

Author: Velasquez, Nathalia ; Hwang, Peter H. ; Nguyen, Alan ; Zhou, Bing ; Le, Wei ; Bravo, Dawn T. ; Nayak, Jayakar V. ; Huang, Zhenxiao ; Ye, Ting

Background Topical corticosteroids are currently employed to reduce established airway inflammation; their prophylactic use might help limit cellular damage against harmful stimuli. Objectives To determine the effects of a prophylactic topical application of budesonide (BD) on an in vivo nasal epithelium injury model induced by trichloroacetic acid (TCA). Methods C57Bl/6 mice were exposed to intranasal TCA topical application. Three groups received topical intranasal BD, saline solution, or no intervention prior to a single topical exposure to TCA. Controls were not exposed to TCA. Whole nasal cavity coronal sections were analyzed at 1, 3, and 6 days postinjury at tissue and cellular levels using histopathological analysis, immunofluorescent staining, and fresh tissue RNA microarray analysis. Results Prophylactic topical corticosteroid exposure protected the nasal epithelium from acute damage, maintaining epithelial thickness and cell survival. Six days following TCA exposure, epithelial and cellular changes were less pronounced on the BD-treated group compared to all exposure groups. The microarray analysis was used to evaluate the gene transcripts in all treatment groups. Ciliary tip protein, Sentan, and submucosal protein S100b were identified as potential factors in epithelial airway protection; immunofluorescent staining corroborated their presence and location within the respiratory epithelium. Conclusion Topical corticosteroid treatment to the nasal epithelium can mitigate several of the early deleterious effects of acute epithelial damage in experimental airway injuries caused by TCA. These findings suggest a novel, direct cytoprotective effect of corticosteroids on the nasal epithelium, and the potential of expanding the use of prophylactic periprocedural topical corticosteroids for respiratory epithelial tissues.

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ITFG1

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