Single cell analysis: technologies and applications
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| Sprache: | English |
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2009
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| Beschreibung: | XIX, 258 S. Ill., graph. Darst. |
| ISBN: | 9783527318643 352731864X |
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| 245 | 1 | 0 | |a Single cell analysis |b technologies and applications |c ed. by Dario Anselmetti |
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| 650 | 4 | |a Cell Physiological Phenomena | |
| 650 | 4 | |a Cells |x Analysis | |
| 650 | 4 | |a Cells |x cytology | |
| 650 | 4 | |a Cytological Techniques | |
| 650 | 4 | |a Cytology |x Technique | |
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Datensatz im Suchindex
| _version_ | 1805090000451141632 |
|---|---|
| adam_text |
Titel: Single cell analysis
Autor: Anselmetti, Dario
Jahr: 2009
Contents
Foreword V
Preface XIII
List of Contributors XVII
Part I Single Cell Analysis : Imaging
1 Single Molecule Fluorescence Monitoring in Eukaryotic Cells: Intranuclear
Dynamics of Splicing Factors 1
Ulrich Kubitscheck
1.1 Motivation 1
1.2 Experimental Approach 2
1.3 Single Particle Tracking within Living Cells 6
1.4 Pre-Messenger RNA Splicing 7
1.5 Intranuclear Splicing Factor Tracking 8
1.6 Intranuclear Ul snRNP Splicing Factor Binding 10
1.7 Events in Speckles 10
1.8 Intranuclear Ul snRNP Mobility 11
1.9 Perspectives of Single Molecule Microscopy J3
References 15
2 Cene Classification and Quantitative Analysis of Gene Regulation
in Bacteria using Single Cell Atomic Force Microscopy and Single
Molecule Force Spectroscopy 19
Robert Ros and Nicole Hansmeier
2.1 Introduction 19
2.2 AFM on Paracrystalline Cell Surface Layers of C. glutamkum: Protein
Sequence Information and Morphology 20
2.3 Imaging of Living C. glutamkum Cells with Molecular Resolution:
Genes, Transcriptional Regulation and Morphology 23
2.4 Single Molecule Force Spectroscopy on Specific Protein-DNA
Complexes: Transcriptional Regulation in S. meliloti 25
Single CeU Analysis: Technologies and Applications. Edited by Dario Anseimetti
Copyright © 2009 WILEY-VCH Verlag GmbH Co. KGaA, Weinheim
ISBN: 978-3-527-31864-3
VIII Contents
2.5 Effector-Induced Protein-DNA Binding on the Single Molecule Level:
Quorum Sensing in S. meliloti 29
2.6 Conclusion 32
References 33
3 Cellular Cryo-Electron Tomography (CET): Towards a Voyage to the
Inner Space of Cells 39
Juergen M. Plitzko
3.1 Introduction 39
3.2 Tomography with the Electron Microscope - a Practical Perspective 42
3.2.1 Sample Preparation 42
'i.l.l Instrumental and Technical Requirements 48
3.2.3 Alignment, Reconstruction and Visualization 54
3.3 Molecular Interpretation of Cellular Tomograms 58
3.4 Outlook: The Future is Bright 61
References 65
Part II Single Cell Analysis: Technologies
4 Single Cell Proteomics 69
Norman J. Dovichi, Shen Hu, David Michels, Danqian Mao,
and Amy Dambrowitz
4.1 Introduction 69
4.2 The Challenge 70
4.3 Single Cell Proteomics: Mass Spectrometry 71
4.4 Single Cell Separations 72
4.5 Ultrasensitive Protein Analysis: Capillary Electrophoresis
with Laser-Induced Fluorescence Detection 74
4.6 Capillary Sieving Electrophoresis of Proteins from a Single
Cancer Cell 75
4.7 Cell Cycle-dependent Single Cell Capillary Sieving Electrophoresis 77
4.8 Tentative Identification of Proteins in Single Cell
Electropherograms 78
4.9 Capillary Micellar and Submicellar Separation of Proteins from
a Single Cell 79
4.10 Two-Dimensional Capillary Electrophoresis of Proteins in
a Single Cell 80
4.11 Single Copy Detection of Specific Proteins in Single Cells 83
4.12 Conclusion 85
References 87
5 Protein Analysis of Single Cells in Microfluidic Format 91
Alexandra Ros and Dominik Creif
5.1 Introduction 91
Contents IX
5.2 Microfluidic Single Cell Analysis Concept 93
5.2.1 Single Cell Selection and Trapping 93
5.2.2 Single Cell Lysis 95
5.3 Single Cell Electrophoretic Separation and Detection of Proteins 96
5.3.1 Label-Based Fluorescence Detection 98
5.3.2 Label-Free Fluorescence Detection 99
5.3.2.1 UV-LIF in Quartz Microfluidic Devices 99
5.3.2.2 UV-LIF in PDMS Microfluidic Devices 99
5.3.2.3 Single Cell UV-LIF Electrophoretic Analysis 102
5.4 Future Directions in Single Cell Analysis 103
References 104
6 Single Cell Mass Spectrometry 109
Elena V. Romanova, Stanislas S. Rubakhin, Eric B. Monroe, and
Jonathan V. Sweedler
6.1 Introduction 109
6.2 Considerations for Single Cell Chemical Microanalysis using Mass
Spectrometry 110
6.3 Mass Spectrometry as a Discovery Tool for Chemical Analysis of
Cells 111
6.4 Single Cell Mass Spectrometric Applications 115
6.5 Subcellular Profiling 119
6.6 Imaging Single Cells with MS 121
6.7 Signaling Molecule Release from Single Cells 124
6.8 Future Developments 126
References 126
7 Single Cell Analysis for Quantitative Systems Biology 135
Luke P. Lee and Dino Di Carlo
7.1 Introduction 135
7.2 Misleading Bulk Experiments 138
7.3 Common Techniques for High-Throughput and High-Content Single
Cell Analysis 140
7.4 Improved Functionality for High-Throughput Single
Cell Analysis 141
7.4.1 Microfluidic Techniques 141
7.4.2 Array-Based Techniques 144
7A3 High-Content Separation-Based Techniques 147
7.5 Example Studies Enabled by Microfluidic Cell Arrays 348
7.5.1 Pore-Forming Dynamics in Single Cells 148
7.5.1.1 Microfluidic Single Cell Arrays with Fluorescence Imaging 148
7.5.1.2 Toxin-Induced Permeability 148
7.5.1.3 Stochastic Model of Pore Formation 149
7.5.1.4 Amount and Size of Pores for Best Fit Models 151
7.5.1.5 Concerning the Pore Formation Mechanism of SLO 151
X Contents
7.5.1.6 Conclusions on Pore-Forming Dynamics in Single Cells 152
7.5.2 Single Cell Culture and Analysis 153
7.5.2.1 Single Cell Trapping Arrays 154
7.5.2.2 Arrayed Single Cell Culture 154
7.5.2.3 Conclusions on Arrayed Single Cell Culture 156
7.6 Conclusions and Future Directions 157
References 158
8 Optical Stretcher for Single Cells 161
Karla Muller, Anatol Fritsch, Tobias Kiessling, Marc Crosseriischkamp,
and Josef A. Kas
8.1 Introduction 161
8.2 Theory, Methods and Experimental Setup 163
8.2.1 Fundamentals of Optical Stretching 164
8.2.1.1 Ray Optics 165
8.2.1.2 Resulting Forces 167
8.2.2 Microfluidics - Laminar Flow 169
8.3 Applications 170
8.3.1 Cancer Diagnostics 171
8.3.2 Minimally Invasive Analysis 172
8.3.3 Stem Cell Characterization 173
8.4 Outlook 173
References 174
Part III Single Cell Analysis: Applications
9 Single Cell Immunology 175
Ulrich Walter and Jan Buer
9.1 Introduction 175
9.2 Single Cell Gene Expression Profiling 175
9.2.1 Single Cell (Multiplex) RT-PCR 175
9.2.2 Quantitative Single Cell Multiplex RT-PCR 179
9.3 Fluorescence-Activated Cell Sorting 180
9.4 live Cell Fluorescence Microscopy 183
9.4.1 Confocal Laser Scanning Microscopy 183
9.4.2 Total Internal Reflection Fluorescence Microscopy 185
9.4.3 Forster Resonance Energy Transfer Imaging 186
9.4.4 Two-Photon Laser Scanning Microscopy 186
9.5 Other Techniques for Single Cell Analysis 187
9.5.1 Enzyme-Linked Immunospot Assay 187
9.5.2 In Situ Hybridization 188
9.5.3 Electron Microscopy 188
9.6 Conclusions and Outlook 189
References 189
Contents XI
10 Molecular Characterization of Rare Single Tumor Cells 197
James F. Leary
10.1 Introduction 197
10.1.1 Importance of Rare Cells 197
10.1.2 Detection of Rare Tumor Cells 298
10.2 Finding Rare Event Tumor Cells in Multidimensional
Data 199
10.2.1 Rare Event Sampling Statistics 200
10.2.2 High-Speed Sorting of Rare Cells 203
10.2.3 Sorting Speeds must be Fast Enough to be Practical 203
10.2.4 Limits in Sorting Speeds and Purities 204
10.3 Classification of Rare Tumor Cells 205
10.3.1 Using Classifiers to Sort Rare Tumor Cells 208
10.4 Molecular Characterization of Sorted Tumor Cell Cells 209
10.4.1 Model Cell Systems 209
10.4.2 Design of PCR Primers to Detect the PTEN Gene Region 209
10.4.3 Processing BT-549 Human Breast Cancer Cells 210
10.5 Detection of Mutated Sequences in Tumor Suppressor
Genes 211
10.5.1 Detection of Mutations in Breast Cancer Tumor Suppressor Genes
by High-Throughput Flow Cytometry, Single Cell Sorting
and Single Cell Sequencing 211
10.5.2 Single Cell Sorting for Mutational Analysis by PCR 214
10.5.3 TA Cloning 215
10.5.4 Single Cell Analysis of Gene Expression Profiles 216
10.6 Conclusions and Discussion 229
References 219
11 Single Cell Heterogeneity 223
Edgar A. Arriaga
11.1 Introduction 223
11.2 Measuring Heterogeneity using Single Cell Techniques 224
11.2.1 Optical Well Arrays 225
11.2.2 Capillary Electrophoresis Analysis of Organelles Released from
Single Cells 225
11.3 Describing Cellular Heterogeneities and Subpopulations 227
11.4 Origins of Cellular Heterogeneity 228
11.5 Identifying Extrinsic and Intrinsic Noise Sources 230
11.5.1 Validation of the Flow Cytometry Measurements 230
11.5.2 Noise Dissection 232
11.5.3 Identification of Deviant Gene Products 232
11.5.4 Correlation of Gene Products with Potential Sources
of Noise 232
11.6 Concluding Remarks 233
References 234
XII Contents
12 Genome and Transcriptome Analysis of Single Tumor Cells 235
Bernhard Polzer, Claudia H. Hartmann, and Christoph A. Klein
12.1 Introduction 235
12.2 Detection and Malignant Origin of Disseminated Cancer Cells 235
12.3 Methods for Amplifying Genomic DNA of Single Cells 237
12.4 Studying the Genome of Single Disseminated Cancer Cells 239
12.5 The Need for Higher Resolution: Array CGH of Single Cells 240
12.6 Studying the Gene Expression of Single Disseminated Cancer
Cells 241
12.7 Combined Genome and Transcriptome Analysis of Single
Disseminated Cancer Cells 246
References 246
Index 251 |
| adam_txt |
Titel: Single cell analysis
Autor: Anselmetti, Dario
Jahr: 2009
Contents
Foreword V
Preface XIII
List of Contributors XVII
Part I Single Cell Analysis : Imaging
1 Single Molecule Fluorescence Monitoring in Eukaryotic Cells: Intranuclear
Dynamics of Splicing Factors 1
Ulrich Kubitscheck
1.1 Motivation 1
1.2 Experimental Approach 2
1.3 Single Particle Tracking within Living Cells 6
1.4 Pre-Messenger RNA Splicing 7
1.5 Intranuclear Splicing Factor Tracking 8
1.6 Intranuclear Ul snRNP Splicing Factor Binding 10
1.7 Events in Speckles 10
1.8 Intranuclear Ul snRNP Mobility 11
1.9 Perspectives of Single Molecule Microscopy J3
References 15
2 Cene Classification and Quantitative Analysis of Gene Regulation
in Bacteria using Single Cell Atomic Force Microscopy and Single
Molecule Force Spectroscopy 19
Robert Ros and Nicole Hansmeier
2.1 Introduction 19
2.2 AFM on Paracrystalline Cell Surface Layers of C. glutamkum: Protein
Sequence Information and Morphology 20
2.3 Imaging of Living C. glutamkum Cells with Molecular Resolution:
Genes, Transcriptional Regulation and Morphology 23
2.4 Single Molecule Force Spectroscopy on Specific Protein-DNA
Complexes: Transcriptional Regulation in S. meliloti 25
Single CeU Analysis: Technologies and Applications. Edited by Dario Anseimetti
Copyright © 2009 WILEY-VCH Verlag GmbH Co. KGaA, Weinheim
ISBN: 978-3-527-31864-3
VIII Contents
2.5 Effector-Induced Protein-DNA Binding on the Single Molecule Level:
Quorum Sensing in S. meliloti 29
2.6 Conclusion 32
References 33
3 Cellular Cryo-Electron Tomography (CET): Towards a Voyage to the
Inner Space of Cells 39
Juergen M. Plitzko
3.1 Introduction 39
3.2 Tomography with the Electron Microscope - a Practical Perspective 42
3.2.1 Sample Preparation 42
'i.l.l Instrumental and Technical Requirements 48
3.2.3 Alignment, Reconstruction and Visualization 54
3.3 Molecular Interpretation of Cellular Tomograms 58
3.4 Outlook: The Future is Bright 61
References 65
Part II Single Cell Analysis: Technologies
4 Single Cell Proteomics 69
Norman J. Dovichi, Shen Hu, David Michels, Danqian Mao,
and Amy Dambrowitz
4.1 Introduction 69
4.2 The Challenge 70
4.3 Single Cell Proteomics: Mass Spectrometry 71
4.4 Single Cell Separations 72
4.5 Ultrasensitive Protein Analysis: Capillary Electrophoresis
with Laser-Induced Fluorescence Detection 74
4.6 Capillary Sieving Electrophoresis of Proteins from a Single
Cancer Cell 75
4.7 Cell Cycle-dependent Single Cell Capillary Sieving Electrophoresis 77
4.8 Tentative Identification of Proteins in Single Cell
Electropherograms 78
4.9 Capillary Micellar and Submicellar Separation of Proteins from
a Single Cell 79
4.10 Two-Dimensional Capillary Electrophoresis of Proteins in
a Single Cell 80
4.11 Single Copy Detection of Specific Proteins in Single Cells 83
4.12 Conclusion 85
References 87
5 Protein Analysis of Single Cells in Microfluidic Format 91
Alexandra Ros and Dominik Creif
5.1 Introduction 91
Contents IX
5.2 Microfluidic Single Cell Analysis Concept 93
5.2.1 Single Cell Selection and Trapping 93
5.2.2 Single Cell Lysis 95
5.3 Single Cell Electrophoretic Separation and Detection of Proteins 96
5.3.1 Label-Based Fluorescence Detection 98
5.3.2 Label-Free Fluorescence Detection 99
5.3.2.1 UV-LIF in Quartz Microfluidic Devices 99
5.3.2.2 UV-LIF in PDMS Microfluidic Devices 99
5.3.2.3 Single Cell UV-LIF Electrophoretic Analysis 102
5.4 Future Directions in Single Cell Analysis 103
References 104
6 Single Cell Mass Spectrometry 109
Elena V. Romanova, Stanislas S. Rubakhin, Eric B. Monroe, and
Jonathan V. Sweedler
6.1 Introduction 109
6.2 Considerations for Single Cell Chemical Microanalysis using Mass
Spectrometry 110
6.3 Mass Spectrometry as a Discovery Tool for Chemical Analysis of
Cells 111
6.4 Single Cell Mass Spectrometric Applications 115
6.5 Subcellular Profiling 119
6.6 Imaging Single Cells with MS 121
6.7 Signaling Molecule Release from Single Cells 124
6.8 Future Developments 126
References 126
7 Single Cell Analysis for Quantitative Systems Biology 135
Luke P. Lee and Dino Di Carlo
7.1 Introduction 135
7.2 Misleading Bulk Experiments 138
7.3 Common Techniques for High-Throughput and High-Content Single
Cell Analysis 140
7.4 Improved Functionality for High-Throughput Single
Cell Analysis 141
7.4.1 Microfluidic Techniques 141
7.4.2 Array-Based Techniques 144
7A3 High-Content Separation-Based Techniques 147
7.5 Example Studies Enabled by Microfluidic Cell Arrays 348
7.5.1 Pore-Forming Dynamics in Single Cells 148
7.5.1.1 Microfluidic Single Cell Arrays with Fluorescence Imaging 148
7.5.1.2 Toxin-Induced Permeability 148
7.5.1.3 Stochastic Model of Pore Formation 149
7.5.1.4 Amount and Size of Pores for Best Fit Models 151
7.5.1.5 Concerning the Pore Formation Mechanism of SLO 151
X Contents
7.5.1.6 Conclusions on Pore-Forming Dynamics in Single Cells 152
7.5.2 Single Cell Culture and Analysis 153
7.5.2.1 Single Cell Trapping Arrays 154
7.5.2.2 Arrayed Single Cell Culture 154
7.5.2.3 Conclusions on Arrayed Single Cell Culture 156
7.6 Conclusions and Future Directions 157
References 158
8 Optical Stretcher for Single Cells 161
Karla Muller, Anatol Fritsch, Tobias Kiessling, Marc Crosseriischkamp,
and Josef A. Kas
8.1 Introduction 161
8.2 Theory, Methods and Experimental Setup 163
8.2.1 Fundamentals of Optical Stretching 164
8.2.1.1 Ray Optics 165
8.2.1.2 Resulting Forces 167
8.2.2 Microfluidics - Laminar Flow 169
8.3 Applications 170
8.3.1 Cancer Diagnostics 171
8.3.2 Minimally Invasive Analysis 172
8.3.3 Stem Cell Characterization 173
8.4 Outlook 173
References 174
Part III Single Cell Analysis: Applications
9 Single Cell Immunology 175
Ulrich Walter and Jan Buer
9.1 Introduction 175
9.2 Single Cell Gene Expression Profiling 175
9.2.1 Single Cell (Multiplex) RT-PCR 175
9.2.2 Quantitative Single Cell Multiplex RT-PCR 179
9.3 Fluorescence-Activated Cell Sorting 180
9.4 live Cell Fluorescence Microscopy 183
9.4.1 Confocal Laser Scanning Microscopy 183
9.4.2 Total Internal Reflection Fluorescence Microscopy 185
9.4.3 Forster Resonance Energy Transfer Imaging 186
9.4.4 Two-Photon Laser Scanning Microscopy 186
9.5 Other Techniques for Single Cell Analysis 187
9.5.1 Enzyme-Linked Immunospot Assay 187
9.5.2 In Situ Hybridization 188
9.5.3 Electron Microscopy 188
9.6 Conclusions and Outlook 189
References 189
Contents XI
10 Molecular Characterization of Rare Single Tumor Cells 197
James F. Leary
10.1 Introduction 197
10.1.1 Importance of Rare Cells 197
10.1.2 Detection of Rare Tumor Cells 298
10.2 Finding Rare Event Tumor Cells in Multidimensional
Data 199
10.2.1 Rare Event Sampling Statistics 200
10.2.2 High-Speed Sorting of Rare Cells 203
10.2.3 Sorting Speeds must be Fast Enough to be Practical 203
10.2.4 Limits in Sorting Speeds and Purities 204
10.3 Classification of Rare Tumor Cells 205
10.3.1 Using Classifiers to Sort Rare Tumor Cells 208
10.4 Molecular Characterization of Sorted Tumor Cell Cells 209
10.4.1 Model Cell Systems 209
10.4.2 Design of PCR Primers to Detect the PTEN Gene Region 209
10.4.3 Processing BT-549 Human Breast Cancer Cells 210
10.5 Detection of Mutated Sequences in Tumor Suppressor
Genes 211
10.5.1 Detection of Mutations in Breast Cancer Tumor Suppressor Genes
by High-Throughput Flow Cytometry, Single Cell Sorting
and Single Cell Sequencing 211
10.5.2 Single Cell Sorting for Mutational Analysis by PCR 214
10.5.3 TA Cloning 215
10.5.4 Single Cell Analysis of Gene Expression Profiles 216
10.6 Conclusions and Discussion 229
References 219
11 Single Cell Heterogeneity 223
Edgar A. Arriaga
11.1 Introduction 223
11.2 Measuring Heterogeneity using Single Cell Techniques 224
11.2.1 Optical Well Arrays 225
11.2.2 Capillary Electrophoresis Analysis of Organelles Released from
Single Cells 225
11.3 Describing Cellular Heterogeneities and Subpopulations 227
11.4 Origins of Cellular Heterogeneity 228
11.5 Identifying Extrinsic and Intrinsic Noise Sources 230
11.5.1 Validation of the Flow Cytometry Measurements 230
11.5.2 Noise Dissection 232
11.5.3 Identification of Deviant Gene Products 232
11.5.4 Correlation of Gene Products with Potential Sources
of Noise 232
11.6 Concluding Remarks 233
References 234
XII Contents
12 Genome and Transcriptome Analysis of Single Tumor Cells 235
Bernhard Polzer, Claudia H. Hartmann, and Christoph A. Klein
12.1 Introduction 235
12.2 Detection and Malignant Origin of Disseminated Cancer Cells 235
12.3 Methods for Amplifying Genomic DNA of Single Cells 237
12.4 Studying the Genome of Single Disseminated Cancer Cells 239
12.5 The Need for Higher Resolution: Array CGH of Single Cells 240
12.6 Studying the Gene Expression of Single Disseminated Cancer
Cells 241
12.7 Combined Genome and Transcriptome Analysis of Single
Disseminated Cancer Cells 246
References 246
Index 251 |
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| id | DE-604.BV023169580 |
| illustrated | Illustrated |
| index_date | 2024-07-02T19:57:03Z |
| indexdate | 2024-07-20T09:32:51Z |
| institution | BVB |
| isbn | 9783527318643 352731864X |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-016356262 |
| oclc_num | 318668451 |
| open_access_boolean | |
| owner | DE-703 DE-526 DE-20 DE-355 DE-BY-UBR DE-91G DE-BY-TUM DE-11 |
| owner_facet | DE-703 DE-526 DE-20 DE-355 DE-BY-UBR DE-91G DE-BY-TUM DE-11 |
| physical | XIX, 258 S. Ill., graph. Darst. |
| publishDate | 2009 |
| publishDateSearch | 2009 |
| publishDateSort | 2009 |
| publisher | Wiley-VCH |
| record_format | marc |
| spelling | Single cell analysis technologies and applications ed. by Dario Anselmetti Weinheim Wiley-VCH 2009 XIX, 258 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Cell Physiological Phenomena Cells Analysis Cells cytology Cytological Techniques Cytology Technique Einzelzellanalyse (DE-588)7657465-9 gnd rswk-swf Einzelzellanalyse (DE-588)7657465-9 s DE-604 Anselmetti, Dario 1963- (DE-588)137758960 edt text/html http://deposit.dnb.de/cgi-bin/dokserv?id=3060808&prov=M&dok_var=1&dok_ext=htm Inhaltstext HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016356262&sequence=000004&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Single cell analysis technologies and applications Cell Physiological Phenomena Cells Analysis Cells cytology Cytological Techniques Cytology Technique Einzelzellanalyse (DE-588)7657465-9 gnd |
| subject_GND | (DE-588)7657465-9 |
| title | Single cell analysis technologies and applications |
| title_auth | Single cell analysis technologies and applications |
| title_exact_search | Single cell analysis technologies and applications |
| title_exact_search_txtP | Single cell analysis technologies and applications |
| title_full | Single cell analysis technologies and applications ed. by Dario Anselmetti |
| title_fullStr | Single cell analysis technologies and applications ed. by Dario Anselmetti |
| title_full_unstemmed | Single cell analysis technologies and applications ed. by Dario Anselmetti |
| title_short | Single cell analysis |
| title_sort | single cell analysis technologies and applications |
| title_sub | technologies and applications |
| topic | Cell Physiological Phenomena Cells Analysis Cells cytology Cytological Techniques Cytology Technique Einzelzellanalyse (DE-588)7657465-9 gnd |
| topic_facet | Cell Physiological Phenomena Cells Analysis Cells cytology Cytological Techniques Cytology Technique Einzelzellanalyse |
| url | http://deposit.dnb.de/cgi-bin/dokserv?id=3060808&prov=M&dok_var=1&dok_ext=htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016356262&sequence=000004&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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