Advanced Search
Display options
Filter resources
Text Availability
Article type
Publication date
Species
Language
Sex
Age
Showing 1 to 12 of 119 entries
Sorted by: Best Match Show Resources per page
Single-gene prognostic signatures for advanced stage serous ovarian cancer based on 1257 patient samples.

Molecular omics

Zhang F, Yang K, Deng K, Zhang Y, Zhao W, Xu H, Rong Z, Li K.
PMID: 29659648
Mol Omics. 2018 Apr 16;14(2):103-108. doi: 10.1039/c7mo00119c.

OBJECTIVE: We sought to identify stable single-gene prognostic signatures based on a large collection of advanced stage serous ovarian cancer (AS-OvCa) gene expression data and explore their functions.METHODS: The empirical Bayes (EB) method was used to remove the batch...

Cite
Zhang F, Yang K, Deng K, et al. Single-gene prognostic signatures for advanced stage serous ovarian cancer based on 1257 patient samples. Mol Omics. 2018;14(2):103-108doi: 10.1039/c7mo00119c.
Zhang, F., Yang, K., Deng, K., Zhang, Y., Zhao, W., Xu, H., Rong, Z., & Li, K. (2018). Single-gene prognostic signatures for advanced stage serous ovarian cancer based on 1257 patient samples. Molecular omics, 14(2), 103-108. https://doi.org/10.1039/c7mo00119c
Zhang, Fan, et al. "Single-gene prognostic signatures for advanced stage serous ovarian cancer based on 1257 patient samples." Molecular omics vol. 14,2 (2018): 103-108. doi: https://doi.org/10.1039/c7mo00119c
Zhang F, Yang K, Deng K, Zhang Y, Zhao W, Xu H, Rong Z, Li K. Single-gene prognostic signatures for advanced stage serous ovarian cancer based on 1257 patient samples. Mol Omics. 2018 Apr 16;14(2):103-108. doi: 10.1039/c7mo00119c. PMID: 29659648.
Copy Download .nbib Format: NLM
Functional roles of eriocalyxin B in zebrafish revealed by transcriptome analysis.

Molecular omics

Zhou X, Cao CY, Wan AT, Yue GG, Kwok FH, Fung KP, Sun H, Lau CB, Puno PT, Tsui SK.
PMID: 29676772
Mol Omics. 2018 Jun 12;14(3):156-169. doi: 10.1039/c7mo00125h.

BACKGROUND: Eriocalyxin B (EriB) is a natural ent-kaurane diterpenoid obtained from Isodon eriocalyx var. laxiflora (family Lamiaceae), which has multiple biological activities (e.g. anti-tumor and anti-inflammatory) via the alteration of gene expression and signaling transduction. Recently, RNA sequencing (RNA-seq)...

Cite
Zhou X, Cao CY, Wan AT, et al. Functional roles of eriocalyxin B in zebrafish revealed by transcriptome analysis. Mol Omics. 2018;14(3):156-169doi: 10.1039/c7mo00125h.
Zhou, X., Cao, C. Y., Wan, A. T., Yue, G. G., Kwok, F. H., Fung, K. P., Sun, H., Lau, C. B., Puno, P. T., & Tsui, S. K. (2018). Functional roles of eriocalyxin B in zebrafish revealed by transcriptome analysis. Molecular omics, 14(3), 156-169. https://doi.org/10.1039/c7mo00125h
Zhou, Xunian, et al. "Functional roles of eriocalyxin B in zebrafish revealed by transcriptome analysis." Molecular omics vol. 14,3 (2018): 156-169. doi: https://doi.org/10.1039/c7mo00125h
Zhou X, Cao CY, Wan AT, Yue GG, Kwok FH, Fung KP, Sun H, Lau CB, Puno PT, Tsui SK. Functional roles of eriocalyxin B in zebrafish revealed by transcriptome analysis. Mol Omics. 2018 Jun 12;14(3):156-169. doi: 10.1039/c7mo00125h. PMID: 29676772.
Copy Download .nbib Format: NLM
Introducing Molecular Omics.

Molecular omics

[No authors listed]
PMID: 29570202
Mol Omics. 2018 Feb 01;14(1):6-7. doi: 10.1039/c8mo90001a. Epub 2018 Feb 02.

No abstract available.

Cite
Introducing Molecular Omics. Mol Omics. 2018;14(1):6-7doi: 10.1039/c8mo90001a.
(2018). Introducing Molecular Omics. Molecular omics, 14(1), 6-7. https://doi.org/10.1039/c8mo90001a
"Introducing Molecular Omics." Molecular omics vol. 14,1 (2018): 6-7. doi: https://doi.org/10.1039/c8mo90001a
Introducing Molecular Omics. Mol Omics. 2018 Feb 01;14(1):6-7. doi: 10.1039/c8mo90001a. Epub 2018 Feb 02. PMID: 29570202.
Copy Download .nbib Format: NLM
Proteomic profile of 4-PBA treated human neuronal cells during ER stress.

Molecular omics

Kaur B, Bhat A, Chakraborty R, Adlakha K, Sengupta S, Roy S, Chakraborty K.
PMID: 29570205
Mol Omics. 2018 Feb 01;14(1):53-63. doi: 10.1039/c7mo00114b. Epub 2018 Jan 19.

Perturbations affecting the homoeostasis of endoplasmic reticulum (ER) activate an adaptive signaling known as the unfolded protein response or UPR. Many studies have reported the association between neurological disorders and ER stress. Decreasing ER stress may therefore aid in...

Cite
Kaur B, Bhat A, Chakraborty R, et al. Proteomic profile of 4-PBA treated human neuronal cells during ER stress. Mol Omics. 2018;14(1):53-63doi: 10.1039/c7mo00114b.
Kaur, B., Bhat, A., Chakraborty, R., Adlakha, K., Sengupta, S., Roy, S., & Chakraborty, K. (2018). Proteomic profile of 4-PBA treated human neuronal cells during ER stress. Molecular omics, 14(1), 53-63. https://doi.org/10.1039/c7mo00114b
Kaur, Bhavneet, et al. "Proteomic profile of 4-PBA treated human neuronal cells during ER stress." Molecular omics vol. 14,1 (2018): 53-63. doi: https://doi.org/10.1039/c7mo00114b
Kaur B, Bhat A, Chakraborty R, Adlakha K, Sengupta S, Roy S, Chakraborty K. Proteomic profile of 4-PBA treated human neuronal cells during ER stress. Mol Omics. 2018 Feb 01;14(1):53-63. doi: 10.1039/c7mo00114b. Epub 2018 Jan 19. PMID: 29570205.
Copy Download .nbib Format: NLM
Kinome chemoproteomics characterization of pyrrolo[3,4-c]pyrazoles as potent and selective inhibitors of glycogen synthase kinase 3.

Molecular omics

Golkowski M, Perera GK, Vidadala VN, Ojo KK, Van Voorhis WC, Maly DJ, Ong SE.
PMID: 29725679
Mol Omics. 2018 Feb 12;14(1):26-36. doi: 10.1039/c7mo00006e.

Glycogen synthase kinase 3 has evolutionarily conserved roles in cell signaling and metabolism and is a recognized drug target in neurological pathologies, most prominently bipolar disorder. More recently it has been suggested that GSK3 may be a target for...

Cite
Golkowski M, Perera GK, Vidadala VN, et al. Kinome chemoproteomics characterization of pyrrolo[3,4-c]pyrazoles as potent and selective inhibitors of glycogen synthase kinase 3. Mol Omics. 2018;14(1):26-36doi: 10.1039/c7mo00006e.
Golkowski, M., Perera, G. K., Vidadala, V. N., Ojo, K. K., Van Voorhis, W. C., Maly, D. J., & Ong, S. E. (2018). Kinome chemoproteomics characterization of pyrrolo[3,4-c]pyrazoles as potent and selective inhibitors of glycogen synthase kinase 3. Molecular omics, 14(1), 26-36. https://doi.org/10.1039/c7mo00006e
Golkowski, Martin, et al. "Kinome chemoproteomics characterization of pyrrolo[3,4-c]pyrazoles as potent and selective inhibitors of glycogen synthase kinase 3." Molecular omics vol. 14,1 (2018): 26-36. doi: https://doi.org/10.1039/c7mo00006e
Golkowski M, Perera GK, Vidadala VN, Ojo KK, Van Voorhis WC, Maly DJ, Ong SE. Kinome chemoproteomics characterization of pyrrolo[3,4-c]pyrazoles as potent and selective inhibitors of glycogen synthase kinase 3. Mol Omics. 2018 Feb 12;14(1):26-36. doi: 10.1039/c7mo00006e. PMID: 29725679; PMCID: PMC5939582.
Copy Download .nbib Format: NLM
Transcriptome features of striated muscle aging and predictability of protein level changes.

Molecular omics

Han Y, Li LZ, Kastury NL, Thomas CT, Lam MPY, Lau E.
PMID: 34328155
Mol Omics. 2021 Oct 11;17(5):796-808. doi: 10.1039/d1mo00178g.

We performed total RNA sequencing and multi-omics analysis comparing skeletal muscle and cardiac muscle in young adult (4 months)

Cite
Han Y, Li LZ, Kastury NL, et al. Transcriptome features of striated muscle aging and predictability of protein level changes. Mol Omics. 2021;17(5):796-808doi: 10.1039/d1mo00178g.
Han, Y., Li, L. Z., Kastury, N. L., Thomas, C. T., Lam, M. P. Y., & Lau, E. (2021). Transcriptome features of striated muscle aging and predictability of protein level changes. Molecular omics, 17(5), 796-808. https://doi.org/10.1039/d1mo00178g
Han, Yu, et al. "Transcriptome features of striated muscle aging and predictability of protein level changes." Molecular omics vol. 17,5 (2021): 796-808. doi: https://doi.org/10.1039/d1mo00178g
Han Y, Li LZ, Kastury NL, Thomas CT, Lam MPY, Lau E. Transcriptome features of striated muscle aging and predictability of protein level changes. Mol Omics. 2021 Oct 11;17(5):796-808. doi: 10.1039/d1mo00178g. PMID: 34328155; PMCID: PMC8511094.
Copy Download .nbib Format: NLM
Proteomic analysis of .

Molecular omics

Stincone P, Comerlato CB, Brandelli A.
PMID: 33735358
Mol Omics. 2021 Jun 14;17(3):426-437. doi: 10.1039/d0mo00178c.

In this work, the effect of antimicrobial lipopeptide P34 on Listeria monocytogenes was evaluated for the first time through a proteomics approach. Bacteria were treated with sub-lethal doses of peptide P34 (F-P34) and P34 encapsulated into nanoliposomes (N-P34), while...

Cite
Stincone P, Comerlato CB, Brandelli A. Proteomic analysis of . Mol Omics. 2021;17(3):426-437doi: 10.1039/d0mo00178c.
Stincone, P., Comerlato, C. B., & Brandelli, A. (2021). Proteomic analysis of . Molecular omics, 17(3), 426-437. https://doi.org/10.1039/d0mo00178c
Stincone, Paolo, et al. "Proteomic analysis of ." Molecular omics vol. 17,3 (2021): 426-437. doi: https://doi.org/10.1039/d0mo00178c
Stincone P, Comerlato CB, Brandelli A. Proteomic analysis of . Mol Omics. 2021 Jun 14;17(3):426-437. doi: 10.1039/d0mo00178c. PMID: 33735358.
Copy Download .nbib Format: NLM
NMR metabolomic and microarray-based transcriptomic data integration identifies unique molecular signatures of hypersensitivity pneumonitis.

Molecular omics

Dasgupta S, Ghosh N, Choudhury P, Joshi M, Chowdhury SR, Bhattacharyya P, Chaudhury K.
PMID: 34881764
Mol Omics. 2021 Dec 09; doi: 10.1039/d1mo00209k. Epub 2021 Dec 09.

Hypersensitivity pneumonitis (HP) is an immune-mediated granulomatous interstitial lung disease (ILD) that results from repeated inhalation of certain antigens. Despite major advances in research, pathophysiology of the disease remains poorly understood. The present study combines metabolomic and transcriptomic data...

Cite
Dasgupta S, Ghosh N, Choudhury P, et al. NMR metabolomic and microarray-based transcriptomic data integration identifies unique molecular signatures of hypersensitivity pneumonitis. Mol Omics. 2021;doi: 10.1039/d1mo00209k.
Dasgupta, S., Ghosh, N., Choudhury, P., Joshi, M., Chowdhury, S. R., Bhattacharyya, P., & Chaudhury, K. (2021). NMR metabolomic and microarray-based transcriptomic data integration identifies unique molecular signatures of hypersensitivity pneumonitis. Molecular omics, . https://doi.org/10.1039/d1mo00209k
Dasgupta, Sanjukta, et al. "NMR metabolomic and microarray-based transcriptomic data integration identifies unique molecular signatures of hypersensitivity pneumonitis." Molecular omics vol. (2021). doi: https://doi.org/10.1039/d1mo00209k
Dasgupta S, Ghosh N, Choudhury P, Joshi M, Chowdhury SR, Bhattacharyya P, Chaudhury K. NMR metabolomic and microarray-based transcriptomic data integration identifies unique molecular signatures of hypersensitivity pneumonitis. Mol Omics. 2021 Dec 09; doi: 10.1039/d1mo00209k. Epub 2021 Dec 09. PMID: 34881764.
Copy Download .nbib Format: NLM
An integrative chemometric approach and correlative metabolite networking of LC-MS and .

Molecular omics

Maan K, Baghel R, Bakhshi R, Dhariwal S, Tyagi R, Rana P.
PMID: 34982087
Mol Omics. 2022 Jan 04; doi: 10.1039/d1mo00399b. Epub 2022 Jan 04.

The increasing threat of nuclear terrorism or radiological accident has made high throughput radiation biodosimetry a requisite for the immediate response for triage. Owing to detection of subtle alterations in biological pathways before the onset of clinical conditions, metabolomics...

Cite
Maan K, Baghel R, Bakhshi R, et al. An integrative chemometric approach and correlative metabolite networking of LC-MS and . Mol Omics. 2022;doi: 10.1039/d1mo00399b.
Maan, K., Baghel, R., Bakhshi, R., Dhariwal, S., Tyagi, R., & Rana, P. (2022). An integrative chemometric approach and correlative metabolite networking of LC-MS and . Molecular omics, . https://doi.org/10.1039/d1mo00399b
Maan, Kiran, et al. "An integrative chemometric approach and correlative metabolite networking of LC-MS and ." Molecular omics vol. (2022). doi: https://doi.org/10.1039/d1mo00399b
Maan K, Baghel R, Bakhshi R, Dhariwal S, Tyagi R, Rana P. An integrative chemometric approach and correlative metabolite networking of LC-MS and . Mol Omics. 2022 Jan 04; doi: 10.1039/d1mo00399b. Epub 2022 Jan 04. PMID: 34982087.
Copy Download .nbib Format: NLM
Deciphering the architecture and interactome of hnRNP proteins and enigmRBPs.

Molecular omics

Wippel HH, Fioramonte M, Chavez JD, Bruce JE.
PMID: 34017973
Mol Omics. 2021 Aug 09;17(4):503-516. doi: 10.1039/d1mo00024a.

RNA-binding proteins (RBPs) have conserved domains and consensus sequences that interact with RNAs and other proteins forming ribonucleoprotein (RNP) complexes. RNPs are involved in the regulation of several cellular processes, including transcription, pre-mRNA splicing, mRNA transport, localization, degradation and...

Cite
Wippel HH, Fioramonte M, Chavez JD, et al. Deciphering the architecture and interactome of hnRNP proteins and enigmRBPs. Mol Omics. 2021;17(4):503-516doi: 10.1039/d1mo00024a.
Wippel, H. H., Fioramonte, M., Chavez, J. D., & Bruce, J. E. (2021). Deciphering the architecture and interactome of hnRNP proteins and enigmRBPs. Molecular omics, 17(4), 503-516. https://doi.org/10.1039/d1mo00024a
Wippel, Helisa H, et al. "Deciphering the architecture and interactome of hnRNP proteins and enigmRBPs." Molecular omics vol. 17,4 (2021): 503-516. doi: https://doi.org/10.1039/d1mo00024a
Wippel HH, Fioramonte M, Chavez JD, Bruce JE. Deciphering the architecture and interactome of hnRNP proteins and enigmRBPs. Mol Omics. 2021 Aug 09;17(4):503-516. doi: 10.1039/d1mo00024a. PMID: 34017973; PMCID: PMC8355073.
Copy Download .nbib Format: NLM
Mechanistic models of microbial community metabolism.

Molecular omics

Dillard LR, Payne DD, Papin JA.
PMID: 34125127
Mol Omics. 2021 Jun 14;17(3):365-375. doi: 10.1039/d0mo00154f.

Microbial communities affect many facets of human health and well-being. Naturally occurring bacteria, whether in nature or the human body, rarely exist in isolation. A deeper understanding of the metabolic functions of these communities is now possible with emerging...

Cite
Dillard LR, Payne DD, Papin JA. Mechanistic models of microbial community metabolism. Mol Omics. 2021;17(3):365-375doi: 10.1039/d0mo00154f.
Dillard, L. R., Payne, D. D., & Papin, J. A. (2021). Mechanistic models of microbial community metabolism. Molecular omics, 17(3), 365-375. https://doi.org/10.1039/d0mo00154f
Dillard, Lillian R, et al. "Mechanistic models of microbial community metabolism." Molecular omics vol. 17,3 (2021): 365-375. doi: https://doi.org/10.1039/d0mo00154f
Dillard LR, Payne DD, Papin JA. Mechanistic models of microbial community metabolism. Mol Omics. 2021 Jun 14;17(3):365-375. doi: 10.1039/d0mo00154f. PMID: 34125127; PMCID: PMC8202304.
Copy Download .nbib Format: NLM
The robust NMR toolbox for metabolomics.

Molecular omics

Chandra K, Al-Harthi S, Almulhim F, Emwas AH, Jaremko Ł, Jaremko M.
PMID: 34636383
Mol Omics. 2021 Oct 11;17(5):719-724. doi: 10.1039/d1mo00118c.

Here, we implemented and validated a suite of selective and non-selective CPMG-filtered 1D and 2D TOCSY/HSQC experiments for metabolomics research. They facilitated the unambiguous identification of metabolites embedded in broad lipid and protein signals. The 2D spectra improved non-targeted...

Cite
Chandra K, Al-Harthi S, Almulhim F, et al. The robust NMR toolbox for metabolomics. Mol Omics. 2021;17(5):719-724doi: 10.1039/d1mo00118c.
Chandra, K., Al-Harthi, S., Almulhim, F., Emwas, A. H., Jaremko, �. �., & Jaremko, M. (2021). The robust NMR toolbox for metabolomics. Molecular omics, 17(5), 719-724. https://doi.org/10.1039/d1mo00118c
Chandra, Kousik, et al. "The robust NMR toolbox for metabolomics." Molecular omics vol. 17,5 (2021): 719-724. doi: https://doi.org/10.1039/d1mo00118c
Chandra K, Al-Harthi S, Almulhim F, Emwas AH, Jaremko Ł, Jaremko M. The robust NMR toolbox for metabolomics. Mol Omics. 2021 Oct 11;17(5):719-724. doi: 10.1039/d1mo00118c. PMID: 34636383.
Copy Download .nbib Format: NLM
Showing 1 to 12 of 119 entries