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Dataset of Two-Dimensional Gel Electrophoresis Images of Acute Myeloid Leukemia Patients before and after Induction Therapy
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| Zeitschriftentitel: | Data |
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| Personen und Körperschaften: | , , , , , , , |
| In: | Data, 6, 2021, 2, S. 20 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
MDPI AG
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| Schlagwörter: |
| author_facet |
Urrea, Juan E. Restrepo, Luisa F. Prada-Arismendy, Jeanette Castillo, Erwing Goez, Manuel M. Torres-Madronero, Maria C. Delgado-Trejos, Edilson Röthlisberger, Sarah Urrea, Juan E. Restrepo, Luisa F. Prada-Arismendy, Jeanette Castillo, Erwing Goez, Manuel M. Torres-Madronero, Maria C. Delgado-Trejos, Edilson Röthlisberger, Sarah |
|---|---|
| author |
Urrea, Juan E. Restrepo, Luisa F. Prada-Arismendy, Jeanette Castillo, Erwing Goez, Manuel M. Torres-Madronero, Maria C. Delgado-Trejos, Edilson Röthlisberger, Sarah |
| spellingShingle |
Urrea, Juan E. Restrepo, Luisa F. Prada-Arismendy, Jeanette Castillo, Erwing Goez, Manuel M. Torres-Madronero, Maria C. Delgado-Trejos, Edilson Röthlisberger, Sarah Data Dataset of Two-Dimensional Gel Electrophoresis Images of Acute Myeloid Leukemia Patients before and after Induction Therapy Information Systems and Management Computer Science Applications Information Systems |
| author_sort |
urrea, juan e. |
| spelling |
Urrea, Juan E. Restrepo, Luisa F. Prada-Arismendy, Jeanette Castillo, Erwing Goez, Manuel M. Torres-Madronero, Maria C. Delgado-Trejos, Edilson Röthlisberger, Sarah 2306-5729 MDPI AG Information Systems and Management Computer Science Applications Information Systems http://dx.doi.org/10.3390/data6020020 <jats:p>Acute myeloid leukemia (AML) is a malignant disorder of the hematopoietic stem and progenitor cells, which results in the build-up of immature blasts in the bone marrow and eventually in the peripheral blood of affected patients. Accurately assessing a patient´s prognosis is very important for clinical management of the disease, which is why there are several prognostic factors such as age, performance status at diagnosis, platelet count, serum creatinine and albumin that are taken into account by the clinician when deciding the course of treatment. However, proteomic changes related to treatment response in this patient group have not been widely explored. Here, we make available a set of 22 two-dimensional gel electrophoresis (2DGE) images obtained from the peripheral blood samples of 11 patients with AML, taken at the time of diagnosis and after induction therapy (approximately 21–28 days after starting treatment). The same set of 2DGE images is also made available after a preprocessing stage (an additional 22 2DGE pre-processed images), which was performed using algorithms developed in Python, in order to improve the visualization of characteristic spots and facilitate proteomic analysis of this type of images.</jats:p> Dataset of Two-Dimensional Gel Electrophoresis Images of Acute Myeloid Leukemia Patients before and after Induction Therapy Data |
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Dataset of Two-Dimensional Gel Electrophoresis Images of Acute Myeloid Leukemia Patients before and after Induction Therapy |
| title_unstemmed |
Dataset of Two-Dimensional Gel Electrophoresis Images of Acute Myeloid Leukemia Patients before and after Induction Therapy |
| title_full |
Dataset of Two-Dimensional Gel Electrophoresis Images of Acute Myeloid Leukemia Patients before and after Induction Therapy |
| title_fullStr |
Dataset of Two-Dimensional Gel Electrophoresis Images of Acute Myeloid Leukemia Patients before and after Induction Therapy |
| title_full_unstemmed |
Dataset of Two-Dimensional Gel Electrophoresis Images of Acute Myeloid Leukemia Patients before and after Induction Therapy |
| title_short |
Dataset of Two-Dimensional Gel Electrophoresis Images of Acute Myeloid Leukemia Patients before and after Induction Therapy |
| title_sort |
dataset of two-dimensional gel electrophoresis images of acute myeloid leukemia patients before and after induction therapy |
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Information Systems and Management Computer Science Applications Information Systems |
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http://dx.doi.org/10.3390/data6020020 |
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2021 |
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<jats:p>Acute myeloid leukemia (AML) is a malignant disorder of the hematopoietic stem and progenitor cells, which results in the build-up of immature blasts in the bone marrow and eventually in the peripheral blood of affected patients. Accurately assessing a patient´s prognosis is very important for clinical management of the disease, which is why there are several prognostic factors such as age, performance status at diagnosis, platelet count, serum creatinine and albumin that are taken into account by the clinician when deciding the course of treatment. However, proteomic changes related to treatment response in this patient group have not been widely explored. Here, we make available a set of 22 two-dimensional gel electrophoresis (2DGE) images obtained from the peripheral blood samples of 11 patients with AML, taken at the time of diagnosis and after induction therapy (approximately 21–28 days after starting treatment). The same set of 2DGE images is also made available after a preprocessing stage (an additional 22 2DGE pre-processed images), which was performed using algorithms developed in Python, in order to improve the visualization of characteristic spots and facilitate proteomic analysis of this type of images.</jats:p> |
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| author | Urrea, Juan E., Restrepo, Luisa F., Prada-Arismendy, Jeanette, Castillo, Erwing, Goez, Manuel M., Torres-Madronero, Maria C., Delgado-Trejos, Edilson, Röthlisberger, Sarah |
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| description | <jats:p>Acute myeloid leukemia (AML) is a malignant disorder of the hematopoietic stem and progenitor cells, which results in the build-up of immature blasts in the bone marrow and eventually in the peripheral blood of affected patients. Accurately assessing a patient´s prognosis is very important for clinical management of the disease, which is why there are several prognostic factors such as age, performance status at diagnosis, platelet count, serum creatinine and albumin that are taken into account by the clinician when deciding the course of treatment. However, proteomic changes related to treatment response in this patient group have not been widely explored. Here, we make available a set of 22 two-dimensional gel electrophoresis (2DGE) images obtained from the peripheral blood samples of 11 patients with AML, taken at the time of diagnosis and after induction therapy (approximately 21–28 days after starting treatment). The same set of 2DGE images is also made available after a preprocessing stage (an additional 22 2DGE pre-processed images), which was performed using algorithms developed in Python, in order to improve the visualization of characteristic spots and facilitate proteomic analysis of this type of images.</jats:p> |
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| spelling | Urrea, Juan E. Restrepo, Luisa F. Prada-Arismendy, Jeanette Castillo, Erwing Goez, Manuel M. Torres-Madronero, Maria C. Delgado-Trejos, Edilson Röthlisberger, Sarah 2306-5729 MDPI AG Information Systems and Management Computer Science Applications Information Systems http://dx.doi.org/10.3390/data6020020 <jats:p>Acute myeloid leukemia (AML) is a malignant disorder of the hematopoietic stem and progenitor cells, which results in the build-up of immature blasts in the bone marrow and eventually in the peripheral blood of affected patients. Accurately assessing a patient´s prognosis is very important for clinical management of the disease, which is why there are several prognostic factors such as age, performance status at diagnosis, platelet count, serum creatinine and albumin that are taken into account by the clinician when deciding the course of treatment. However, proteomic changes related to treatment response in this patient group have not been widely explored. Here, we make available a set of 22 two-dimensional gel electrophoresis (2DGE) images obtained from the peripheral blood samples of 11 patients with AML, taken at the time of diagnosis and after induction therapy (approximately 21–28 days after starting treatment). The same set of 2DGE images is also made available after a preprocessing stage (an additional 22 2DGE pre-processed images), which was performed using algorithms developed in Python, in order to improve the visualization of characteristic spots and facilitate proteomic analysis of this type of images.</jats:p> Dataset of Two-Dimensional Gel Electrophoresis Images of Acute Myeloid Leukemia Patients before and after Induction Therapy Data |
| spellingShingle | Urrea, Juan E., Restrepo, Luisa F., Prada-Arismendy, Jeanette, Castillo, Erwing, Goez, Manuel M., Torres-Madronero, Maria C., Delgado-Trejos, Edilson, Röthlisberger, Sarah, Data, Dataset of Two-Dimensional Gel Electrophoresis Images of Acute Myeloid Leukemia Patients before and after Induction Therapy, Information Systems and Management, Computer Science Applications, Information Systems |
| title | Dataset of Two-Dimensional Gel Electrophoresis Images of Acute Myeloid Leukemia Patients before and after Induction Therapy |
| title_full | Dataset of Two-Dimensional Gel Electrophoresis Images of Acute Myeloid Leukemia Patients before and after Induction Therapy |
| title_fullStr | Dataset of Two-Dimensional Gel Electrophoresis Images of Acute Myeloid Leukemia Patients before and after Induction Therapy |
| title_full_unstemmed | Dataset of Two-Dimensional Gel Electrophoresis Images of Acute Myeloid Leukemia Patients before and after Induction Therapy |
| title_short | Dataset of Two-Dimensional Gel Electrophoresis Images of Acute Myeloid Leukemia Patients before and after Induction Therapy |
| title_sort | dataset of two-dimensional gel electrophoresis images of acute myeloid leukemia patients before and after induction therapy |
| title_unstemmed | Dataset of Two-Dimensional Gel Electrophoresis Images of Acute Myeloid Leukemia Patients before and after Induction Therapy |
| topic | Information Systems and Management, Computer Science Applications, Information Systems |
| url | http://dx.doi.org/10.3390/data6020020 |