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Validation of syngeneic mouse models of melanoma and non-small cell lung cancer for investigating the anticancer effects of the soy-derived peptide Lunasin.

F1000Research

Devapatla B, Shidal C, Yaddanapudi K, Davis KR.
PMID: 28299174
F1000Res. 2016 Oct 04;5:2432. doi: 10.12688/f1000research.9661.2. eCollection 2016.

No abstract available.

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Devapatla B, Shidal C, Yaddanapudi K, et al. Validation of syngeneic mouse models of melanoma and non-small cell lung cancer for investigating the anticancer effects of the soy-derived peptide Lunasin. F1000Res. 2016;5:2432doi: 10.12688/f1000research.9661.2.
Devapatla, B., Shidal, C., Yaddanapudi, K., & Davis, K. R. (2016). Validation of syngeneic mouse models of melanoma and non-small cell lung cancer for investigating the anticancer effects of the soy-derived peptide Lunasin. F1000Research, 52432. https://doi.org/10.12688/f1000research.9661.2
Devapatla, Bharat, et al. "Validation of syngeneic mouse models of melanoma and non-small cell lung cancer for investigating the anticancer effects of the soy-derived peptide Lunasin." F1000Research vol. 5 (2016): 2432. doi: https://doi.org/10.12688/f1000research.9661.2
Devapatla B, Shidal C, Yaddanapudi K, Davis KR. Validation of syngeneic mouse models of melanoma and non-small cell lung cancer for investigating the anticancer effects of the soy-derived peptide Lunasin. F1000Res. 2016 Oct 04;5:2432. doi: 10.12688/f1000research.9661.2. eCollection 2016. PMID: 28299174; PMCID: PMC5325107.
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Inhibition of CD34+ cell migration by matrix metalloproteinase-2 during acute myocardial ischemia, counteracted by ischemic preconditioning.

F1000Research

Lukovic D, Zlabinger K, Gugerell A, Spannbauer A, Pavo N, Mandic L, Weidenauer DT, Kastl S, Kaun C, Posa A, Sabdyusheva Litschauer I, Winkler J, Gyöngyösi M.
PMID: 28299177
F1000Res. 2016 Nov 22;5:2739. doi: 10.12688/f1000research.9957.2. eCollection 2016.

No abstract available.

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Lukovic D, Zlabinger K, Gugerell A, et al. Inhibition of CD34+ cell migration by matrix metalloproteinase-2 during acute myocardial ischemia, counteracted by ischemic preconditioning. F1000Res. 2016;5:2739doi: 10.12688/f1000research.9957.2.
Lukovic, D., Zlabinger, K., Gugerell, A., Spannbauer, A., Pavo, N., Mandic, L., Weidenauer, D. T., Kastl, S., Kaun, C., Posa, A., Sabdyusheva Litschauer, I., Winkler, J., & Gyöngyösi, M. (2016). Inhibition of CD34+ cell migration by matrix metalloproteinase-2 during acute myocardial ischemia, counteracted by ischemic preconditioning. F1000Research, 52739. https://doi.org/10.12688/f1000research.9957.2
Lukovic, Dominika, et al. "Inhibition of CD34+ cell migration by matrix metalloproteinase-2 during acute myocardial ischemia, counteracted by ischemic preconditioning." F1000Research vol. 5 (2016): 2739. doi: https://doi.org/10.12688/f1000research.9957.2
Lukovic D, Zlabinger K, Gugerell A, Spannbauer A, Pavo N, Mandic L, Weidenauer DT, Kastl S, Kaun C, Posa A, Sabdyusheva Litschauer I, Winkler J, Gyöngyösi M. Inhibition of CD34+ cell migration by matrix metalloproteinase-2 during acute myocardial ischemia, counteracted by ischemic preconditioning. F1000Res. 2016 Nov 22;5:2739. doi: 10.12688/f1000research.9957.2. eCollection 2016. PMID: 28299177; PMCID: PMC5321121.2.
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Age-specific acceleration in malignant melanoma.

F1000Research

Diffey BL, Frank SA.
PMID: 28435664
F1000Res. 2017 Jan 09;6:27. doi: 10.12688/f1000research.10491.2. eCollection 2017.

No abstract available.

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Diffey BL, Frank SA. Age-specific acceleration in malignant melanoma. F1000Res. 2017;6:27doi: 10.12688/f1000research.10491.2.
Diffey, B. L., & Frank, S. A. (2017). Age-specific acceleration in malignant melanoma. F1000Research, 627. https://doi.org/10.12688/f1000research.10491.2
Diffey, Brian L, and Frank, Steven A. "Age-specific acceleration in malignant melanoma." F1000Research vol. 6 (2017): 27. doi: https://doi.org/10.12688/f1000research.10491.2
Diffey BL, Frank SA. Age-specific acceleration in malignant melanoma. F1000Res. 2017 Jan 09;6:27. doi: 10.12688/f1000research.10491.2. eCollection 2017. PMID: 28435664; PMCID: PMC5381631.
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A voltage-dependent fluorescent indicator for optogenetic applications, archaerhodopsin-3: Structure and optical properties from .

F1000Research

Nikolaev DM, Emelyanov A, Boitsov VM, Panov MS, Ryazantsev MN.
PMID: 28435665
F1000Res. 2017 Jan 11;6:33. doi: 10.12688/f1000research.10541.2. eCollection 2017.

It was demonstrated in recent studies that some rhodopsins can be used in optogenetics as fluorescent indicators of membrane voltage. One of the promising candidates for these applications is archaerhodopsin-3. However, the fluorescent signal for wild-type achaerhodopsin-3 is not...

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Nikolaev DM, Emelyanov A, Boitsov VM, et al. A voltage-dependent fluorescent indicator for optogenetic applications, archaerhodopsin-3: Structure and optical properties from . F1000Res. 2017;6:33doi: 10.12688/f1000research.10541.2.
Nikolaev, D. M., Emelyanov, A., Boitsov, V. M., Panov, M. S., & Ryazantsev, M. N. (2017). A voltage-dependent fluorescent indicator for optogenetic applications, archaerhodopsin-3: Structure and optical properties from . F1000Research, 633. https://doi.org/10.12688/f1000research.10541.2
Nikolaev, Dmitrii M, et al. "A voltage-dependent fluorescent indicator for optogenetic applications, archaerhodopsin-3: Structure and optical properties from ." F1000Research vol. 6 (2017): 33. doi: https://doi.org/10.12688/f1000research.10541.2
Nikolaev DM, Emelyanov A, Boitsov VM, Panov MS, Ryazantsev MN. A voltage-dependent fluorescent indicator for optogenetic applications, archaerhodopsin-3: Structure and optical properties from . F1000Res. 2017 Jan 11;6:33. doi: 10.12688/f1000research.10541.2. eCollection 2017. PMID: 28435665; PMCID: PMC5381632.
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Neuraxial opioids as analgesia in labour, caesarean section and hysterectomy: A questionnaire survey in Sweden.

F1000Research

Hein A, Gillis-Haegerstrand C, Jakobsson JG.
PMID: 28435667
F1000Res. 2017 Feb 13;6:133. doi: 10.12688/f1000research.10705.2. eCollection 2017.

No abstract available.

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Hein A, Gillis-Haegerstrand C, Jakobsson JG. Neuraxial opioids as analgesia in labour, caesarean section and hysterectomy: A questionnaire survey in Sweden. F1000Res. 2017;6:133doi: 10.12688/f1000research.10705.2.
Hein, A., Gillis-Haegerstrand, C., & Jakobsson, J. G. (2017). Neuraxial opioids as analgesia in labour, caesarean section and hysterectomy: A questionnaire survey in Sweden. F1000Research, 6133. https://doi.org/10.12688/f1000research.10705.2
Hein, Anette, et al. "Neuraxial opioids as analgesia in labour, caesarean section and hysterectomy: A questionnaire survey in Sweden." F1000Research vol. 6 (2017): 133. doi: https://doi.org/10.12688/f1000research.10705.2
Hein A, Gillis-Haegerstrand C, Jakobsson JG. Neuraxial opioids as analgesia in labour, caesarean section and hysterectomy: A questionnaire survey in Sweden. F1000Res. 2017 Feb 13;6:133. doi: 10.12688/f1000research.10705.2. eCollection 2017. PMID: 28435667; PMCID: PMC5381617.
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search.bioPreprint: a discovery tool for cutting edge, preprint biomedical research articles.

F1000Research

Iwema CL, LaDue J, Zack A, Chattopadhyay A.
PMID: 27508060
F1000Res. 2016 Jun 16;5:1396. doi: 10.12688/f1000research.8798.2. eCollection 2016.

The time it takes for a completed manuscript to be published traditionally can be extremely lengthy. Article publication delay, which occurs in part due to constraints associated with peer review, can prevent the timely dissemination of critical and actionable...

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Iwema CL, LaDue J, Zack A, et al. search.bioPreprint: a discovery tool for cutting edge, preprint biomedical research articles. F1000Res. 2016;5:1396doi: 10.12688/f1000research.8798.2.
Iwema, C. L., LaDue, J., Zack, A., & Chattopadhyay, A. (2016). search.bioPreprint: a discovery tool for cutting edge, preprint biomedical research articles. F1000Research, 51396. https://doi.org/10.12688/f1000research.8798.2
Iwema, Carrie L, et al. "search.bioPreprint: a discovery tool for cutting edge, preprint biomedical research articles." F1000Research vol. 5 (2016): 1396. doi: https://doi.org/10.12688/f1000research.8798.2
Iwema CL, LaDue J, Zack A, Chattopadhyay A. search.bioPreprint: a discovery tool for cutting edge, preprint biomedical research articles. F1000Res. 2016 Jun 16;5:1396. doi: 10.12688/f1000research.8798.2. eCollection 2016. PMID: 27508060; PMCID: PMC4957174.
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AR2, a novel automatic muscle artifact reduction software method for ictal EEG interpretation: Validation and comparison of performance with commercially available software.

F1000Research

Weiss SA, Asadi-Pooya AA, Vangala S, Moy S, Wyeth DH, Orosz I, Gibbs M, Schrader L, Lerner J, Cheng CK, Chang E, Rajaraman R, Keselman I, Churchman P, Bower-Baca C, Numis AL, Ho MG, Rao L, Bhat A, Suski J, Asadollahi M, Ambrose T, Fernandez A, Nei M, Skidmore C, Mintzer S, Eliashiv DS, Mathern GW, Nuwer MR, Sperling M, Engel J, Stern JM.
PMID: 28491280
F1000Res. 2017 Jan 10;6:30. doi: 10.12688/f1000research.10569.2. eCollection 2017.

No abstract available.

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Weiss SA, Asadi-Pooya AA, Vangala S, et al. AR2, a novel automatic muscle artifact reduction software method for ictal EEG interpretation: Validation and comparison of performance with commercially available software. F1000Res. 2017;6:30doi: 10.12688/f1000research.10569.2.
Weiss, S. A., Asadi-Pooya, A. A., Vangala, S., Moy, S., Wyeth, D. H., Orosz, I., Gibbs, M., Schrader, L., Lerner, J., Cheng, C. K., Chang, E., Rajaraman, R., Keselman, I., Churchman, P., Bower-Baca, C., Numis, A. L., Ho, M. G., Rao, L., Bhat, A., Suski, J., Asadollahi, M., Ambrose, T., Fernandez, A., Nei, M., Skidmore, C., Mintzer, S., Eliashiv, D. S., Mathern, G. W., Nuwer, M. R., Sperling, M., Engel, J., & Stern, J. M. (2017). AR2, a novel automatic muscle artifact reduction software method for ictal EEG interpretation: Validation and comparison of performance with commercially available software. F1000Research, 630. https://doi.org/10.12688/f1000research.10569.2
Weiss, Shennan Aibel, et al. "AR2, a novel automatic muscle artifact reduction software method for ictal EEG interpretation: Validation and comparison of performance with commercially available software." F1000Research vol. 6 (2017): 30. doi: https://doi.org/10.12688/f1000research.10569.2
Weiss SA, Asadi-Pooya AA, Vangala S, Moy S, Wyeth DH, Orosz I, Gibbs M, Schrader L, Lerner J, Cheng CK, Chang E, Rajaraman R, Keselman I, Churchman P, Bower-Baca C, Numis AL, Ho MG, Rao L, Bhat A, Suski J, Asadollahi M, Ambrose T, Fernandez A, Nei M, Skidmore C, Mintzer S, Eliashiv DS, Mathern GW, Nuwer MR, Sperling M, Engel J, Stern JM. AR2, a novel automatic muscle artifact reduction software method for ictal EEG interpretation: Validation and comparison of performance with commercially available software. F1000Res. 2017 Jan 10;6:30. doi: 10.12688/f1000research.10569.2. eCollection 2017. PMID: 28491280; PMCID: PMC5399961.
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An ensemble-based Cox proportional hazards regression framework for predicting survival in metastatic castration-resistant prostate cancer (mCRPC) patients.

F1000Research

Meier R, Graw S, Usset J, Raghavan R, Dai J, Chalise P, Ellis S, Fridley B, Koestler D.
PMID: 28413609
F1000Res. 2016 Nov 16;5:2677. doi: 10.12688/f1000research.8226.1. eCollection 2016.

From March through August 2015, nearly 60 teams from around the world participated in the Prostate Cancer Dream Challenge (PCDC). Participating teams were faced with the task of developing prediction models for patient survival and treatment discontinuation using baseline...

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Meier R, Graw S, Usset J, et al. An ensemble-based Cox proportional hazards regression framework for predicting survival in metastatic castration-resistant prostate cancer (mCRPC) patients. F1000Res. 2016;5:2677doi: 10.12688/f1000research.8226.1.
Meier, R., Graw, S., Usset, J., Raghavan, R., Dai, J., Chalise, P., Ellis, S., Fridley, B., & Koestler, D. (2016). An ensemble-based Cox proportional hazards regression framework for predicting survival in metastatic castration-resistant prostate cancer (mCRPC) patients. F1000Research, 52677. https://doi.org/10.12688/f1000research.8226.1
Meier, Richard, et al. "An ensemble-based Cox proportional hazards regression framework for predicting survival in metastatic castration-resistant prostate cancer (mCRPC) patients." F1000Research vol. 5 (2016): 2677. doi: https://doi.org/10.12688/f1000research.8226.1
Meier R, Graw S, Usset J, Raghavan R, Dai J, Chalise P, Ellis S, Fridley B, Koestler D. An ensemble-based Cox proportional hazards regression framework for predicting survival in metastatic castration-resistant prostate cancer (mCRPC) patients. F1000Res. 2016 Nov 16;5:2677. doi: 10.12688/f1000research.8226.1. eCollection 2016. PMID: 28413609; PMCID: PMC5365222.
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What is open peer review? A systematic review.

F1000Research

Ross-Hellauer T.
PMID: 28580134
F1000Res. 2017 Apr 27;6:588. doi: 10.12688/f1000research.11369.2. eCollection 2017.

No abstract available.

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Ross-Hellauer T. What is open peer review? A systematic review. F1000Res. 2017;6:588doi: 10.12688/f1000research.11369.2.
Ross-Hellauer, T. (2017). What is open peer review? A systematic review. F1000Research, 6588. https://doi.org/10.12688/f1000research.11369.2
Ross-Hellauer, Tony. "What is open peer review? A systematic review." F1000Research vol. 6 (2017): 588. doi: https://doi.org/10.12688/f1000research.11369.2
Ross-Hellauer T. What is open peer review? A systematic review. F1000Res. 2017 Apr 27;6:588. doi: 10.12688/f1000research.11369.2. eCollection 2017. PMID: 28580134; PMCID: PMC5437951.
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cophesim: a comprehensive phenotype simulator for testing novel association methods.

F1000Research

Zhbannikov IY, Arbeev KG, Yashin AI.
PMID: 28979766
F1000Res. 2017 Aug 01;6:1294. doi: 10.12688/f1000research.11968.1. eCollection 2017.

Simulation is important in evaluating novel methods when input data is not easily obtainable or specific assumptions are needed. We present

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Zhbannikov IY, Arbeev KG, Yashin AI. cophesim: a comprehensive phenotype simulator for testing novel association methods. F1000Res. 2017;6:1294doi: 10.12688/f1000research.11968.1.
Zhbannikov, I. Y., Arbeev, K. G., & Yashin, A. I. (2017). cophesim: a comprehensive phenotype simulator for testing novel association methods. F1000Research, 61294. https://doi.org/10.12688/f1000research.11968.1
Zhbannikov, Ilya Y, et al. "cophesim: a comprehensive phenotype simulator for testing novel association methods." F1000Research vol. 6 (2017): 1294. doi: https://doi.org/10.12688/f1000research.11968.1
Zhbannikov IY, Arbeev KG, Yashin AI. cophesim: a comprehensive phenotype simulator for testing novel association methods. F1000Res. 2017 Aug 01;6:1294. doi: 10.12688/f1000research.11968.1. eCollection 2017. PMID: 28979766; PMCID: PMC5605948.
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Shark fisheries in the Southeast Pacific: A 61-year analysis from Peru.

F1000Research

Gonzalez-Pestana A, Kouri J C, Velez-Zuazo X.
PMID: 27635216
F1000Res. 2014 Jul 21;3:164. doi: 10.12688/f1000research.4412.1. eCollection 2014.

Peruvian waters exhibit high conservation value for sharks. This contrasts with a lag in initiatives for their management and a lack of studies about their biology, ecology and fishery. We investigated the dynamics of Peruvian shark fishery and its...

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Gonzalez-Pestana A, Kouri J C, Velez-Zuazo X. Shark fisheries in the Southeast Pacific: A 61-year analysis from Peru. F1000Res. 2014;3:164doi: 10.12688/f1000research.4412.1.
Gonzalez-Pestana, A., Kouri J, C., & Velez-Zuazo, X. (2014). Shark fisheries in the Southeast Pacific: A 61-year analysis from Peru. F1000Research, 3164. https://doi.org/10.12688/f1000research.4412.1
Gonzalez-Pestana, Adriana, et al. "Shark fisheries in the Southeast Pacific: A 61-year analysis from Peru." F1000Research vol. 3 (2014): 164. doi: https://doi.org/10.12688/f1000research.4412.1
Gonzalez-Pestana A, Kouri J C, Velez-Zuazo X. Shark fisheries in the Southeast Pacific: A 61-year analysis from Peru. F1000Res. 2014 Jul 21;3:164. doi: 10.12688/f1000research.4412.1. eCollection 2014. PMID: 27635216.
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The developmental transcriptome of contrasting Arctic charr ( Salvelinus alpinus) morphs.

F1000Research

Gudbrandsson J, Ahi EP, Franzdottir SR, Kapralova KH, Kristjansson BK, Steinhaeuser SS, Maier VH, Johannesson IM, Snorrason SS, Jonsson ZO, Palsson A.
PMID: 27635217
F1000Res. 2015 Jun 01;4:136. doi: 10.12688/f1000research.6402.1. eCollection 2015.

Species and populations with parallel evolution of specific traits can help illuminate how predictable adaptations and divergence are at the molecular and developmental level. Following the last glacial period, dwarfism and specialized bottom feeding morphology evolved rapidly in several...

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Gudbrandsson J, Ahi EP, Franzdottir SR, et al. The developmental transcriptome of contrasting Arctic charr ( Salvelinus alpinus) morphs. F1000Res. 2015;4:136doi: 10.12688/f1000research.6402.1.
Gudbrandsson, J., Ahi, E. P., Franzdottir, S. R., Kapralova, K. H., Kristjansson, B. K., Steinhaeuser, S. S., Maier, V. H., Johannesson, I. M., Snorrason, S. S., Jonsson, Z. O., & Palsson, A. (2015). The developmental transcriptome of contrasting Arctic charr ( Salvelinus alpinus) morphs. F1000Research, 4136. https://doi.org/10.12688/f1000research.6402.1
Gudbrandsson, Johannes, et al. "The developmental transcriptome of contrasting Arctic charr ( Salvelinus alpinus) morphs." F1000Research vol. 4 (2015): 136. doi: https://doi.org/10.12688/f1000research.6402.1
Gudbrandsson J, Ahi EP, Franzdottir SR, Kapralova KH, Kristjansson BK, Steinhaeuser SS, Maier VH, Johannesson IM, Snorrason SS, Jonsson ZO, Palsson A. The developmental transcriptome of contrasting Arctic charr ( Salvelinus alpinus) morphs. F1000Res. 2015 Jun 01;4:136. doi: 10.12688/f1000research.6402.1. eCollection 2015. PMID: 27635217; PMCID: PMC5007756.
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Showing 1 to 12 of 4277 entries