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Calculating Sample Size Requirements for Temporal Dynamics in Single-Cell Proteomics.

Molecular & cellular proteomics : MCP

Boekweg H, Guise AJ, Plowey ED, Kelly RT, Payne SH.
PMID: 33915259
Mol Cell Proteomics. 2021;20:100085. doi: 10.1016/j.mcpro.2021.100085. Epub 2021 Apr 27.

Single-cell measurements are uniquely capable of characterizing cell-to-cell heterogeneity and have been used to explore the large diversity of cell types and physiological functions present in tissues and other complex cell assemblies. An intriguing application of single-cell proteomics is...

Cite
Boekweg H, Guise AJ, Plowey ED, et al. Calculating Sample Size Requirements for Temporal Dynamics in Single-Cell Proteomics. Mol Cell Proteomics. 2021;20:100085doi: 10.1016/j.mcpro.2021.100085.
Boekweg, H., Guise, A. J., Plowey, E. D., Kelly, R. T., & Payne, S. H. (2021). Calculating Sample Size Requirements for Temporal Dynamics in Single-Cell Proteomics. Molecular & cellular proteomics : MCP, 20100085. https://doi.org/10.1016/j.mcpro.2021.100085
Boekweg, Hannah, et al. "Calculating Sample Size Requirements for Temporal Dynamics in Single-Cell Proteomics." Molecular & cellular proteomics : MCP vol. 20 (2021): 100085. doi: https://doi.org/10.1016/j.mcpro.2021.100085
Boekweg H, Guise AJ, Plowey ED, Kelly RT, Payne SH. Calculating Sample Size Requirements for Temporal Dynamics in Single-Cell Proteomics. Mol Cell Proteomics. 2021;20:100085. doi: 10.1016/j.mcpro.2021.100085. Epub 2021 Apr 27. PMID: 33915259; PMCID: PMC8165548.
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Calculating Sample Size Requirements for Temporal Dynamics in Single-Cell Proteomics.

Molecular & cellular proteomics : MCP

Boekweg H, Guise AJ, Plowey ED, Kelly RT, Payne SH.
PMID: 33915259
Mol Cell Proteomics. 2021 Apr 27;20:100085. doi: 10.1016/j.mcpro.2021.100085. Epub 2021 Apr 27.

Single-cell measurements are uniquely capable of characterizing cell-to-cell heterogeneity and have been used to explore the large diversity of cell types and physiological functions present in tissues and other complex cell assemblies. An intriguing application of single-cell proteomics is...

Cite
Boekweg H, Guise AJ, Plowey ED, et al. Calculating Sample Size Requirements for Temporal Dynamics in Single-Cell Proteomics. Mol Cell Proteomics. 2021;20:100085doi: 10.1016/j.mcpro.2021.100085.
Boekweg, H., Guise, A. J., Plowey, E. D., Kelly, R. T., & Payne, S. H. (2021). Calculating Sample Size Requirements for Temporal Dynamics in Single-Cell Proteomics. Molecular & cellular proteomics : MCP, 20100085. https://doi.org/10.1016/j.mcpro.2021.100085
Boekweg, Hannah, et al. "Calculating Sample Size Requirements for Temporal Dynamics in Single-Cell Proteomics." Molecular & cellular proteomics : MCP vol. 20 (2021): 100085. doi: https://doi.org/10.1016/j.mcpro.2021.100085
Boekweg H, Guise AJ, Plowey ED, Kelly RT, Payne SH. Calculating Sample Size Requirements for Temporal Dynamics in Single-Cell Proteomics. Mol Cell Proteomics. 2021 Apr 27;20:100085. doi: 10.1016/j.mcpro.2021.100085. Epub 2021 Apr 27. PMID: 33915259; PMCID: PMC8165548.
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Differential Alterations in Resting State Functional Connectivity Associated with Depressive Symptoms and Early Life Adversity.

Brain sciences

Fadel E, Boeker H, Gaertner M, Richter A, Kleim B, Seifritz E, Grimm S, Wade-Bohleber LM.
PMID: 34063232
Brain Sci. 2021 May 02;11(5). doi: 10.3390/brainsci11050591.

Depression and early life adversity (ELA) are associated with aberrant resting state functional connectivity (FC) of the default mode (DMN), salience (SN), and central executive networks (CEN). However, the specific and differential associations of depression and ELA with FC...

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Fadel E, Boeker H, Gaertner M, et al. Differential Alterations in Resting State Functional Connectivity Associated with Depressive Symptoms and Early Life Adversity. Brain Sci. 2021;11(5)doi: 10.3390/brainsci11050591.
Fadel, E., Boeker, H., Gaertner, M., Richter, A., Kleim, B., Seifritz, E., Grimm, S., & Wade-Bohleber, L. M. (2021). Differential Alterations in Resting State Functional Connectivity Associated with Depressive Symptoms and Early Life Adversity. Brain sciences, 11(5), . https://doi.org/10.3390/brainsci11050591
Fadel, Eleonora, et al. "Differential Alterations in Resting State Functional Connectivity Associated with Depressive Symptoms and Early Life Adversity." Brain sciences vol. 11,5 (2021). doi: https://doi.org/10.3390/brainsci11050591
Fadel E, Boeker H, Gaertner M, Richter A, Kleim B, Seifritz E, Grimm S, Wade-Bohleber LM. Differential Alterations in Resting State Functional Connectivity Associated with Depressive Symptoms and Early Life Adversity. Brain Sci. 2021 May 02;11(5). doi: 10.3390/brainsci11050591. PMID: 34063232; PMCID: PMC8147478.
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Features of Peptide Fragmentation Spectra in Single-Cell Proteomics.

Journal of proteome research

Boekweg H, Van Der Watt D, Truong T, Johnston SM, Guise AJ, Plowey ED, Kelly RT, Payne SH.
PMID: 34920664
J Proteome Res. 2022 Jan 07;21(1):182-188. doi: 10.1021/acs.jproteome.1c00670. Epub 2021 Dec 17.

The goal of proteomics is to identify and quantify the complete set of proteins in a biological sample. Single-cell proteomics specializes in the identification and quantitation of proteins for individual cells, often used to elucidate cellular heterogeneity. The significant...

Cite
Boekweg H, Van Der Watt D, Truong T, et al. Features of Peptide Fragmentation Spectra in Single-Cell Proteomics. J Proteome Res. 2021;21(1):182-188doi: 10.1021/acs.jproteome.1c00670.
Boekweg, H., Van Der Watt, D., Truong, T., Johnston, S. M., Guise, A. J., Plowey, E. D., Kelly, R. T., & Payne, S. H. (2022). Features of Peptide Fragmentation Spectra in Single-Cell Proteomics. Journal of proteome research, 21(1), 182-188. https://doi.org/10.1021/acs.jproteome.1c00670
Boekweg, Hannah, et al. "Features of Peptide Fragmentation Spectra in Single-Cell Proteomics." Journal of proteome research vol. 21,1 (2022): 182-188. doi: https://doi.org/10.1021/acs.jproteome.1c00670
Boekweg H, Van Der Watt D, Truong T, Johnston SM, Guise AJ, Plowey ED, Kelly RT, Payne SH. Features of Peptide Fragmentation Spectra in Single-Cell Proteomics. J Proteome Res. 2022 Jan 07;21(1):182-188. doi: 10.1021/acs.jproteome.1c00670. Epub 2021 Dec 17. PMID: 34920664.
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Simplified and Unified Access to Cancer Proteogenomic Data.

Journal of proteome research

Lindgren CM, Adams DW, Kimball B, Boekweg H, Tayler S, Pugh SL, Payne SH.
PMID: 33560848
J Proteome Res. 2021 Apr 02;20(4):1902-1910. doi: 10.1021/acs.jproteome.0c00919. Epub 2021 Feb 09.

Comprehensive cancer data sets recently generated by the Clinical Proteomic Tumor Analysis Consortium (CPTAC) offer great potential for advancing our understanding of how to combat cancer. These data sets include DNA, RNA, protein, and clinical characterization for tumor and...

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Lindgren CM, Adams DW, Kimball B, et al. Simplified and Unified Access to Cancer Proteogenomic Data. J Proteome Res. 2021;20(4):1902-1910doi: 10.1021/acs.jproteome.0c00919.
Lindgren, C. M., Adams, D. W., Kimball, B., Boekweg, H., Tayler, S., Pugh, S. L., & Payne, S. H. (2021). Simplified and Unified Access to Cancer Proteogenomic Data. Journal of proteome research, 20(4), 1902-1910. https://doi.org/10.1021/acs.jproteome.0c00919
Lindgren, Caleb M, et al. "Simplified and Unified Access to Cancer Proteogenomic Data." Journal of proteome research vol. 20,4 (2021): 1902-1910. doi: https://doi.org/10.1021/acs.jproteome.0c00919
Lindgren CM, Adams DW, Kimball B, Boekweg H, Tayler S, Pugh SL, Payne SH. Simplified and Unified Access to Cancer Proteogenomic Data. J Proteome Res. 2021 Apr 02;20(4):1902-1910. doi: 10.1021/acs.jproteome.0c00919. Epub 2021 Feb 09. PMID: 33560848; PMCID: PMC8022323.
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Correction to Fully Automated Sample Processing and Analysis Workflow for Low-Input Proteome Profiling.

Analytical chemistry

Liang Y, Acor H, McCown MA, Nwosu AJ, Boekweg H, Axtell NB, Truong T, Cong Y, Payne SH, Kelly RT.
PMID: 33761238
Anal Chem. 2021 Apr 06;93(13):5651. doi: 10.1021/acs.analchem.1c01152. Epub 2021 Mar 24.

No abstract available.

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Liang Y, Acor H, McCown MA, et al. Correction to Fully Automated Sample Processing and Analysis Workflow for Low-Input Proteome Profiling. Anal Chem. 2021;93(13):5651doi: 10.1021/acs.analchem.1c01152.
Liang, Y., Acor, H., McCown, M. A., Nwosu, A. J., Boekweg, H., Axtell, N. B., Truong, T., Cong, Y., Payne, S. H., & Kelly, R. T. (2021). Correction to Fully Automated Sample Processing and Analysis Workflow for Low-Input Proteome Profiling. Analytical chemistry, 93(13), 5651. https://doi.org/10.1021/acs.analchem.1c01152
Liang, Yiran, et al. "Correction to Fully Automated Sample Processing and Analysis Workflow for Low-Input Proteome Profiling." Analytical chemistry vol. 93,13 (2021): 5651. doi: https://doi.org/10.1021/acs.analchem.1c01152
Liang Y, Acor H, McCown MA, Nwosu AJ, Boekweg H, Axtell NB, Truong T, Cong Y, Payne SH, Kelly RT. Correction to Fully Automated Sample Processing and Analysis Workflow for Low-Input Proteome Profiling. Anal Chem. 2021 Apr 06;93(13):5651. doi: 10.1021/acs.analchem.1c01152. Epub 2021 Mar 24. PMID: 33761238.
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Essentials of psychoanalytic process and change: how can we investigate the neural effects of psychodynamic psychotherapy in individualized neuro-imaging?.

Frontiers in human neuroscience

Boeker H, Richter A, Himmighoffen H, Ernst J, Bohleber L, Hofmann E, Vetter J, Northoff G.
PMID: 23935571
Front Hum Neurosci. 2013 Aug 02;7:355. doi: 10.3389/fnhum.2013.00355. eCollection 2013.

The paper focuses on the essentials of psychoanalytic process and change and the question of how the neural correlates and mechanisms of psychodynamic psychotherapy can be investigated. The psychoanalytic approach aims at enabling the patient to "remember, repeat, and...

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Boeker H, Richter A, Himmighoffen H, et al. Essentials of psychoanalytic process and change: how can we investigate the neural effects of psychodynamic psychotherapy in individualized neuro-imaging?. Front Hum Neurosci. 2013;7:355doi: 10.3389/fnhum.2013.00355.
Boeker, H., Richter, A., Himmighoffen, H., Ernst, J., Bohleber, L., Hofmann, E., Vetter, J., & Northoff, G. (2013). Essentials of psychoanalytic process and change: how can we investigate the neural effects of psychodynamic psychotherapy in individualized neuro-imaging?. Frontiers in human neuroscience, 7355. https://doi.org/10.3389/fnhum.2013.00355
Boeker, Heinz, et al. "Essentials of psychoanalytic process and change: how can we investigate the neural effects of psychodynamic psychotherapy in individualized neuro-imaging?." Frontiers in human neuroscience vol. 7 (2013): 355. doi: https://doi.org/10.3389/fnhum.2013.00355
Boeker H, Richter A, Himmighoffen H, Ernst J, Bohleber L, Hofmann E, Vetter J, Northoff G. Essentials of psychoanalytic process and change: how can we investigate the neural effects of psychodynamic psychotherapy in individualized neuro-imaging?. Front Hum Neurosci. 2013 Aug 02;7:355. doi: 10.3389/fnhum.2013.00355. eCollection 2013. PMID: 23935571; PMCID: PMC3731532.
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Calculating Sample Size Requirements for Temporal Dynamics in Single-Cell Proteomics.

Molecular & cellular proteomics : MCP

Boekweg H, Guise AJ, Plowey ED, Kelly RT, Payne SH.
PMID: 33915259
Mol Cell Proteomics. 2021;20:100085. doi: 10.1016/j.mcpro.2021.100085. Epub 2021 Apr 27.

Single-cell measurements are uniquely capable of characterizing cell-to-cell heterogeneity and have been used to explore the large diversity of cell types and physiological functions present in tissues and other complex cell assemblies. An intriguing application of single-cell proteomics is...

Cite
Boekweg H, Guise AJ, Plowey ED, et al. Calculating Sample Size Requirements for Temporal Dynamics in Single-Cell Proteomics. Mol Cell Proteomics. 2021;20:100085doi: 10.1016/j.mcpro.2021.100085.
Boekweg, H., Guise, A. J., Plowey, E. D., Kelly, R. T., & Payne, S. H. (2021). Calculating Sample Size Requirements for Temporal Dynamics in Single-Cell Proteomics. Molecular & cellular proteomics : MCP, 20100085. https://doi.org/10.1016/j.mcpro.2021.100085
Boekweg, Hannah, et al. "Calculating Sample Size Requirements for Temporal Dynamics in Single-Cell Proteomics." Molecular & cellular proteomics : MCP vol. 20 (2021): 100085. doi: https://doi.org/10.1016/j.mcpro.2021.100085
Boekweg H, Guise AJ, Plowey ED, Kelly RT, Payne SH. Calculating Sample Size Requirements for Temporal Dynamics in Single-Cell Proteomics. Mol Cell Proteomics. 2021;20:100085. doi: 10.1016/j.mcpro.2021.100085. Epub 2021 Apr 27. PMID: 33915259; PMCID: PMC8165548.
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Anticipating control over aversive stimuli is mediated by the medial prefrontal cortex: An fMRI study with healthy adults.

Human brain mapping

Wade-Bohleber LM, Haugg A, Huber S, Ernst J, Grimm S, Recher D, Richter A, Seifritz E, Boeker H, Northoff G.
PMID: 34105855
Hum Brain Mapp. 2021 Sep;42(13):4327-4335. doi: 10.1002/hbm.25549. Epub 2021 Jun 09.

The anticipation of control over aversive events in life is relevant for our mental health. Insights on the underlying neural mechanisms remain limited. We developed a new functional magnetic resonance imaging (fMRI) task that uses auditory stimuli to explore...

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Wade-Bohleber LM, Haugg A, Huber S, et al. Anticipating control over aversive stimuli is mediated by the medial prefrontal cortex: An fMRI study with healthy adults. Hum Brain Mapp. 2021;42(13):4327-4335doi: 10.1002/hbm.25549.
Wade-Bohleber, L. M., Haugg, A., Huber, S., Ernst, J., Grimm, S., Recher, D., Richter, A., Seifritz, E., Boeker, H., & Northoff, G. (2021). Anticipating control over aversive stimuli is mediated by the medial prefrontal cortex: An fMRI study with healthy adults. Human brain mapping, 42(13), 4327-4335. https://doi.org/10.1002/hbm.25549
Wade-Bohleber, Laura Maria, et al. "Anticipating control over aversive stimuli is mediated by the medial prefrontal cortex: An fMRI study with healthy adults." Human brain mapping vol. 42,13 (2021): 4327-4335. doi: https://doi.org/10.1002/hbm.25549
Wade-Bohleber LM, Haugg A, Huber S, Ernst J, Grimm S, Recher D, Richter A, Seifritz E, Boeker H, Northoff G. Anticipating control over aversive stimuli is mediated by the medial prefrontal cortex: An fMRI study with healthy adults. Hum Brain Mapp. 2021 Sep;42(13):4327-4335. doi: 10.1002/hbm.25549. Epub 2021 Jun 09. PMID: 34105855; PMCID: PMC8356988.
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Neuropsychodynamic Approach to Depression: Integrating Resting State Dysfunctions of the Brain and Disturbed Self-Related Processes.

Frontiers in human neuroscience

Boeker H, Kraehenmann R.
PMID: 29997487
Front Hum Neurosci. 2018 Jun 27;12:247. doi: 10.3389/fnhum.2018.00247. eCollection 2018.

A mechanism-based approach was developed focusing on the psychodynamic, psychological and neuronal mechanisms in healthy and depressed persons. In this integrative concept of depression, the self is a core dimension in depression. It is attributed to negative emotions (e.g.,...

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Boeker H, Kraehenmann R. Neuropsychodynamic Approach to Depression: Integrating Resting State Dysfunctions of the Brain and Disturbed Self-Related Processes. Front Hum Neurosci. 2018;12:247doi: 10.3389/fnhum.2018.00247.
Boeker, H., & Kraehenmann, R. (2018). Neuropsychodynamic Approach to Depression: Integrating Resting State Dysfunctions of the Brain and Disturbed Self-Related Processes. Frontiers in human neuroscience, 12247. https://doi.org/10.3389/fnhum.2018.00247
Boeker, Heinz, and Kraehenmann, Rainer. "Neuropsychodynamic Approach to Depression: Integrating Resting State Dysfunctions of the Brain and Disturbed Self-Related Processes." Frontiers in human neuroscience vol. 12 (2018): 247. doi: https://doi.org/10.3389/fnhum.2018.00247
Boeker H, Kraehenmann R. Neuropsychodynamic Approach to Depression: Integrating Resting State Dysfunctions of the Brain and Disturbed Self-Related Processes. Front Hum Neurosci. 2018 Jun 27;12:247. doi: 10.3389/fnhum.2018.00247. eCollection 2018. PMID: 29997487; PMCID: PMC6030717.
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Emotional processing and executive functions in major depressive disorder: dorsal prefrontal activity correlates with performance in the intra-extra dimensional set shift.

Acta neuropsychiatrica

Heinzel A, Northoff G, Boeker H, Boesiger P, Grimm S.
PMID: 25385213
Acta Neuropsychiatr. 2010 Dec;22(6):269-79. doi: 10.1111/j.1601-5215.2010.00494.x.

UNLABELLED: Heinzel A, Northoff G, Boeker H, Boesiger P, Grimm S. Emotional processing and executive functions in major depressive disorder: dorsal prefrontal activity correlates with performance in the intra-extra dimensional set shift.OBJECTIVE: Major depressive disorder (MDD) is characterised by...

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Heinzel A, Northoff G, Boeker H, et al. Emotional processing and executive functions in major depressive disorder: dorsal prefrontal activity correlates with performance in the intra-extra dimensional set shift. Acta Neuropsychiatr. 2010;22(6):269-79doi: 10.1111/j.1601-5215.2010.00494.x.
Heinzel, A., Northoff, G., Boeker, H., Boesiger, P., & Grimm, S. (2010). Emotional processing and executive functions in major depressive disorder: dorsal prefrontal activity correlates with performance in the intra-extra dimensional set shift. Acta neuropsychiatrica, 22(6), 269-79. https://doi.org/10.1111/j.1601-5215.2010.00494.x
Heinzel, Alexander, et al. "Emotional processing and executive functions in major depressive disorder: dorsal prefrontal activity correlates with performance in the intra-extra dimensional set shift." Acta neuropsychiatrica vol. 22,6 (2010): 269-79. doi: https://doi.org/10.1111/j.1601-5215.2010.00494.x
Heinzel A, Northoff G, Boeker H, Boesiger P, Grimm S. Emotional processing and executive functions in major depressive disorder: dorsal prefrontal activity correlates with performance in the intra-extra dimensional set shift. Acta Neuropsychiatr. 2010 Dec;22(6):269-79. doi: 10.1111/j.1601-5215.2010.00494.x. PMID: 25385213.
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Features of Peptide Fragmentation Spectra in Single-Cell Proteomics.

Journal of proteome research

Boekweg H, Van Der Watt D, Truong T, Johnston SM, Guise AJ, Plowey ED, Kelly RT, Payne SH.
PMID: 34920664
J Proteome Res. 2021 Dec 17; doi: 10.1021/acs.jproteome.1c00670. Epub 2021 Dec 17.

The goal of proteomics is to identify and quantify the complete set of proteins in a biological sample. Single-cell proteomics specializes in the identification and quantitation of proteins for individual cells, often used to elucidate cellular heterogeneity. The significant...

Cite
Boekweg H, Van Der Watt D, Truong T, et al. Features of Peptide Fragmentation Spectra in Single-Cell Proteomics. J Proteome Res. 2021;doi: 10.1021/acs.jproteome.1c00670.
Boekweg, H., Van Der Watt, D., Truong, T., Johnston, S. M., Guise, A. J., Plowey, E. D., Kelly, R. T., & Payne, S. H. (2021). Features of Peptide Fragmentation Spectra in Single-Cell Proteomics. Journal of proteome research, . https://doi.org/10.1021/acs.jproteome.1c00670
Boekweg, Hannah, et al. "Features of Peptide Fragmentation Spectra in Single-Cell Proteomics." Journal of proteome research vol. (2021). doi: https://doi.org/10.1021/acs.jproteome.1c00670
Boekweg H, Van Der Watt D, Truong T, Johnston SM, Guise AJ, Plowey ED, Kelly RT, Payne SH. Features of Peptide Fragmentation Spectra in Single-Cell Proteomics. J Proteome Res. 2021 Dec 17; doi: 10.1021/acs.jproteome.1c00670. Epub 2021 Dec 17. PMID: 34920664.
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