Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

Filters

My NCBI Filters

Results by year

Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1971 2
1981 1
1983 1
1992 1
1998 1
2000 1
2004 1
2006 2
2007 1
2009 2
2010 1
2011 1
2012 4
2013 2
2014 2
2015 5
2016 7
2018 4
2019 11
2020 8
2021 14
2022 10
2023 16
2024 14

Text availability

Article attribute

Article type

Publication date

Search Results

104 results

Results by year

Filters applied: . Clear all
Page 1
Exploring the Pathogenesis of Psoriasis Complicated With Atherosclerosis via Microarray Data Analysis.
Su W, Zhao Y, Wei Y, Zhang X, Ji J, Yang S. Su W, et al. Front Immunol. 2021 May 27;12:667690. doi: 10.3389/fimmu.2021.667690. eCollection 2021. Front Immunol. 2021. PMID: 34122426 Free PMC article.
Finally, 16 important hub genes were identified using cytoHubba, including LYN, CSF2RB, IL1RN, RAC2, CCL5, IRF8, C1QB, MMP9, PLEK, PTPRC, FYB, BCL2A1, LCP2, CD53, NCF2 and TLR2. CONCLUSIONS: Our study reveals the common pathogenesis of psoriasis and atherosclerosis. ...
Finally, 16 important hub genes were identified using cytoHubba, including LYN, CSF2RB, IL1RN, RAC2, CCL5, IRF8, C1QB, MMP9, PLEK, PT …
M2 macrophage-related gene signature in chronic rhinosinusitis with nasal polyps.
Zhu Y, Sun X, Tan S, Luo C, Zhou J, Zhang S, Li Z, Lin H, Zhang W. Zhu Y, et al. Front Immunol. 2022 Nov 17;13:1047930. doi: 10.3389/fimmu.2022.1047930. eCollection 2022. Front Immunol. 2022. PMID: 36466903 Free PMC article.
After verification, AIF1, C1QA, C1QB, C3AR1, CCR1, CD163, CD4, CD53, CD86, CSF1R, CYBB, FCER1G, FCGR3A, IL10RA, ITGB2, LAPTM5, PLEK, TYROBP were identified as potential M2 macrophage-related biomarkers for CRSwNP. ...
After verification, AIF1, C1QA, C1QB, C3AR1, CCR1, CD163, CD4, CD53, CD86, CSF1R, CYBB, FCER1G, FCGR3A, IL10RA, ITGB2, LAPTM5, PLEK, …
PLEK: a tool for predicting long non-coding RNAs and messenger RNAs based on an improved k-mer scheme.
Li A, Zhang J, Zhou Z. Li A, et al. BMC Bioinformatics. 2014 Sep 19;15(1):311. doi: 10.1186/1471-2105-15-311. BMC Bioinformatics. 2014. PMID: 25239089 Free PMC article.
PLEK is especially suitable for PacBio or 454 sequencing data and large-scale transcriptome data. Its open-source software can be freely downloaded from https://sourceforge.net/projects/plek/files/....
PLEK is especially suitable for PacBio or 454 sequencing data and large-scale transcriptome data. Its open-source software can be fre …
Higher expression of PLEK and LY86 as the potential biomarker of carotid atherosclerosis.
Zhao M, Liu A, Mo L, Wan G, Lu F, Chen L, Fu S, Chen H, Fu T, Deng H. Zhao M, et al. Medicine (Baltimore). 2023 Oct 20;102(42):e34445. doi: 10.1097/MD.0000000000034445. Medicine (Baltimore). 2023. PMID: 37861500 Free PMC article.
Core genes (PLEK, LY86, IL10RA, ITGB2, and LCP2) were highly expressed in carotid AS samples and lowly expressed in normal samples. Comparative toxicogenomics database analysis showed that 5 genes were associated with pneumonia, inflammation, necrosis, and drug allergy. …
Core genes (PLEK, LY86, IL10RA, ITGB2, and LCP2) were highly expressed in carotid AS samples and lowly expressed in normal samples. C …
Differentiation-related genes in tumor-associated macrophages as potential prognostic biomarkers in non-small cell lung cancer.
Li Z, Zhou B, Zhu X, Yang F, Jin K, Dai J, Zhu Y, Song X, Jiang G. Li Z, et al. Front Immunol. 2023 Mar 9;14:1123840. doi: 10.3389/fimmu.2023.1123840. eCollection 2023. Front Immunol. 2023. PMID: 36969247 Free PMC article.
C1QB, CD84, FGL2, MS4A6A, NLRP3, PLEK, SAMSN1, SPN, and ZEB2 were downregulated in NSCLC compared to non-cancer tissue. ...ZEB2 (HR=1.4, P<0.05) and CD14 (HR=1.6, P<0.05) expression were associated with a worse prognosis in lung squamous cell carcinoma; ZEB2 (HR=0.64 …
C1QB, CD84, FGL2, MS4A6A, NLRP3, PLEK, SAMSN1, SPN, and ZEB2 were downregulated in NSCLC compared to non-cancer tissue. ...ZEB2 (HR=1 …
Genomic and transcriptomic association studies identify 16 novel susceptibility loci for venous thromboembolism.
Lindström S, Wang L, Smith EN, Gordon W, van Hylckama Vlieg A, de Andrade M, Brody JA, Pattee JW, Haessler J, Brumpton BM, Chasman DI, Suchon P, Chen MH, Turman C, Germain M, Wiggins KL, MacDonald J, Braekkan SK, Armasu SM, Pankratz N, Jackson RD, Nielsen JB, Giulianini F, Puurunen MK, Ibrahim M, Heckbert SR, Damrauer SM, Natarajan P, Klarin D; Million Veteran Program; de Vries PS, Sabater-Lleal M, Huffman JE; CHARGE Hemostasis Working Group; Bammler TK, Frazer KA, McCauley BM, Taylor K, Pankow JS, Reiner AP, Gabrielsen ME, Deleuze JF, O'Donnell CJ, Kim J, McKnight B, Kraft P, Hansen JB, Rosendaal FR, Heit JA, Psaty BM, Tang W, Kooperberg C, Hveem K, Ridker PM, Morange PE, Johnson AD, Kabrhel C, Trégouët DA, Smith NL. Lindström S, et al. Blood. 2019 Nov 7;134(19):1645-1657. doi: 10.1182/blood.2019000435. Blood. 2019. PMID: 31420334 Free PMC article.
We identified 34 independent genetic signals for VTE risk from GWAS meta-analysis, of which 14 are newly reported associations. This included 11 newly associated genetic loci (C1orf198, PLEK, OSMR-AS1, NUGGC/SCARA5, GRK5, MPHOSPH9, ARID4A, PLCG2, SMG6, EIF5A, and STX10) of …
We identified 34 independent genetic signals for VTE risk from GWAS meta-analysis, of which 14 are newly reported associations. This include …
Integrative network-based analysis on multiple Gene Expression Omnibus datasets identifies novel immune molecular markers implicated in non-alcoholic steatohepatitis.
Zhang JJ, Shen Y, Chen XY, Jiang ML, Yuan FH, Xie SL, Zhang J, Xu F. Zhang JJ, et al. Front Endocrinol (Lausanne). 2023 Mar 16;14:1115890. doi: 10.3389/fendo.2023.1115890. eCollection 2023. Front Endocrinol (Lausanne). 2023. PMID: 37008925 Free PMC article.
Hub genes with high degree of connectivity in the module, including CD53, LCP1, LAPTM5, NCKAP1L, C3AR1, PLEK, FCER1G, HLA-DRA and SRGN were further verified in clinical samples and mouse model of NASH. ...
Hub genes with high degree of connectivity in the module, including CD53, LCP1, LAPTM5, NCKAP1L, C3AR1, PLEK, FCER1G, HLA-DRA and SRG …
104 results