Ordering of human bone marrow B lymphocyte precursors by single-cell polymerase chain reaction analyses of the rearrangement status of the immunoglobulin H and L chain gene loci

CD19+CD10+ human B lineage bone marrow cells were separated into cycling or resting cells, which differ in their expression of CD34, V(preB), recombination activating gene (RAG-1), and terminal deoxynucleotidyl transferase (TdT). Polymerase chain reaction analyses developed for D(H)J(H) and V(K)J(K) V(K)J(K)K((de)) and V(K)K((de)) rearrangements with DNA of single cells and a comparison with B lineage cell development in mouse bone marrow, allow to delineate the human B lymphocyte pathway of development as follows: CD34+V(preB)+RAG-1+TdT+, D(H)J(H)-rearranged, KL germline cycling pre-B I cells → CD34- V(preB)+μH chain+ (pre-B receptor+) RAG- 1+ TdT, V(H)D(H)J(H)-rearranged, KL germline, cycling pre-B II cells → CD34- V(preB)-, intracytoplasmic μH chain+ (pre-B receptor) RAG-1+ TdT, V(H)D(H)J(H)-rearranged, mainly KL germline cycling pre-B II cells → CD34+ V(preB)- intracytoplasmic μH chain+, RAG-1+ TdT, V(H)D(H)J(H)-rearranged, V(K)J(K)-rearranged, IgM-, resting pre-B II cells → CD34+ V(preB)-, sIgM+, RAG-1+ TdT-, V(H)D(H)J(H)- and V(K)J(K)-rearranged IgM+ immature B cells → CD34+, CD10- sIgM+/sIgD+ mature B cells. This order, for the first time established for human B lineage cells, shows striking similarities with that established for mouse B lineage cells in bone marrow.We thank Drs. Rod Ceredig and Thomas Winkler for critical reading of this manuscript. We are grateful to Marcus Dessing for his outstanding skill at the FACSÒ sorter and his extraordinary help during long, unusual hours. We thank Prof. A. Gratwohl, Dr. E. Signer, and Dr. U. Ramenghi for providing the bone marrow samples and Prof. F. Caligaris Cappio for continuous encouragement and discussions. We gratefully acknowledge Ms. Nadia Straube’s technical experience in DNA sequencing. The Basel Institute for Immunology was founded and is supported by F. Hoffmann-La Roche Ltd., Basel, Switzerland. E. Sanz was supported by contracts from the CSIC and grant CAM92/126, and A. de la Hera was supported by grants SAF-93-0925 and SAF-96-0201 from the CICY.Peer reviewedPeer Reviewe

Lifetimes and Gj factors in excited states of chromium. Hyperfine structure of Cr53

Electronic and nuclear properties of excited chromium isotopes using level crossing and double resonance spectroscopy technique

Vida y virtudes de la venerable señora Da. Maria de Pol : contenida en una carta del pe. Marcos de Torres de la Compañia de Jesus su hijo, en respuesta de otra del illmo. Sr. D. Antonio de Piña y Hermosa meritismo. Obispo de Malaga

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Exercise behavior change and the effect of lost resources

This study was designed to assess the effects of lost resources on exercise behavior among a sample of 30 foreign exchange students who were identified as having experienced a relapse in their level of physical activity. The first phase of the study was longitudinal in nature, comparing baseline data collected from a sample of 110 exchange students from Malaysia on their initial arrival in England with data collected from the same sample 4 months later. Results of a multivariate analysis of variance indicated a significant effect for scores on processes of change, self-efficacy, and decisional balance, F(12, 18) = 12.74, p less than .001. Subsequent examination of univariate F values also revealed significant differences for self-reevaluation, reinforcement management, self-liberation, and self-efficacy. Results from the second phase of the study, which qualitatively assessed the relationship between reductions in physical activity and personal/material resources, revealed that exercise behavior was significantly influenced by resources lost as a result of being in an unfamiliar environment. Implications for health promotion practitioners and researchers are discussed

*-DCC: A platform to collect, annotate, and explore a large variety of sequencing experiments.

BackgroundOver the past few years the variety of experimental designs and protocols for sequencing experiments increased greatly. To ensure the wide usability of the produced data beyond an individual project, rich and systematic annotation of the underlying experiments is crucial.FindingsWe first developed an annotation structure that captures the overall experimental design as well as the relevant details of the steps from the biological sample to the library preparation, the sequencing procedure, and the sequencing and processed files. Through various design features, such as controlled vocabularies and different field requirements, we ensured a high annotation quality, comparability, and ease of annotation. The structure can be easily adapted to a large variety of species. We then implemented the annotation strategy in a user-hosted web platform with data import, query, and export functionality.ConclusionsWe present here an annotation structure and user-hosted platform for sequencing experiment data, suitable for lab-internal documentation, collaborations, and large-scale annotation efforts

Título: Disputationes theologicae in primam partem Diui Thomae. tomus primus.

Sign.: b-f8, A-Z8, 2A-2Z8, 3A-3H8, 3I6.Texto a dos col. fileteado.Antep. a dos tintas con esc. xil. de los dominicos.Port. a dos tintas fileteada.Esc. xil. de los dominicos en última p.La h. de grab. calc.: "Marcus Orozco sculpsit. Matriti 1666" representa a Santo Tomás de Aquino

Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data

Training deep fully convolutional neural networks (F-CNNs) for semantic image segmentation requires access to abundant labeled data. While large datasets of unlabeled image data are available in medical applications, access to manually labeled data is very limited. We propose to automatically create auxiliary labels on initially unlabeled data with existing tools and to use them for pre-training. For the subsequent fine-tuning of the network with manually labeled data, we introduce error corrective boosting (ECB), which emphasizes parameter updates on classes with lower accuracy. Furthermore, we introduce SkipDeconv-Net (SD-Net), a new F-CNN architecture for brain segmentation that combines skip connections with the unpooling strategy for upsampling. The SD-Net addresses challenges of severe class imbalance and errors along boundaries. With application to whole-brain MRI T1 scan segmentation, we generate auxiliary labels on a large dataset with FreeSurfer and fine-tune on two datasets with manual annotations. Our results show that the inclusion of auxiliary labels and ECB yields significant improvements. SD-Net segments a 3D scan in 7 secs in comparison to 30 hours for the closest multi-atlas segmentation method, while reaching similar performance. It also outperforms the latest state-of-the-art F-CNN models.Comment: Accepted at MICCAI 201