| 1. |
- Andersson, Anders, et al.
(author)
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A transcriptional timetable of autumn senescence
- 2004
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In: Genome Biology. - : Springer Science and Business Media LLC. - 1465-6906 .- 1474-760X. ; 5:4, s. R24-
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Journal article (peer-reviewed)abstract
- Background We have developed genomic tools to allow the genus Populus (aspens and cottonwoods) to be exploited as a full-featured model for investigating fundamental aspects of tree biology. We have undertaken large-scale expressed sequence tag (EST) sequencing programs and created Populus microarrays with significant gene coverage. One of the important aspects of plant biology that cannot be studied in annual plants is the gene activity involved in the induction of autumn leaf senescence. Results On the basis of 36,354 Populus ESTs, obtained from seven cDNA libraries, we have created a DNA microarray consisting of 13,490 clones, spotted in duplicate. Of these clones, 12,376 (92%) were confirmed by resequencing and all sequences were annotated and functionally classified. Here we have used the microarray to study transcript abundance in leaves of a free-growing aspen tree (Populus tremula) in northern Sweden during natural autumn senescence. Of the 13,490 spotted clones, 3,792 represented genes with significant expression in all leaf samples from the seven studied dates. Conclusions We observed a major shift in gene expression, coinciding with massive chlorophyll degradation, that reflected a shift from photosynthetic competence to energy generation by mitochondrial respiration, oxidation of fatty acids and nutrient mobilization. Autumn senescence had much in common with senescence in annual plants; for example many proteases were induced. We also found evidence for increased transcriptional activity before the appearance of visible signs of senescence, presumably preparing the leaf for degradation of its components.
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| 2. |
- Andersson, Agneta, et al.
(author)
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Fatty acid profile of skeletal muscle phospholipids in trained and untrained young men
- 2000
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In: American Journal of Physiology. Endocrinology and Metabolism. - 0193-1849 .- 1522-1555. ; 279:4, s. E744-E751
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Journal article (peer-reviewed)abstract
- Endurance trained (n = 14) and untrained young men (n = 15) were compared regarding the fatty acid profile of the vastus lateralis muscle after 8 wk on diets with a similar fatty acid composition. The skeletal muscle phospholipids in the trained group contained lower proportions of palmitic acid (16:0) (-12.4%, P < 0.001) and di-homo-gamma-linolenic acid [20:3(n-6)] (-15.3%, P = 0.018), a lower n-6-to-n-3 ratio (-42.0%, P = 0.015), higher proportions of stearic acid (18:0) (+9.8%, P = 0.004) and sum of n-3 polyunsaturated fatty acids (+33.8%, P = 0.009), and a higher ratio between 20:4(n-6) to 20:3(n-6) (+18.4%, P = 0.006) compared with those in the untrained group. The group differences in 16:0, 20:3(n-6), 18:0/16:0, and 20:4(n-6)/20:3(n-6) were independent of fiber-type distribution. The trained group also showed a lower proportion of 16:0 (-7.9%, P < 0.001) in skeletal muscle triglycerides irrespective of fiber type. In conclusion, the fatty acid profile of the skeletal muscle differed between trained and untrained individuals, although the dietary fatty acid composition was similar. This difference was not explained by different fiber-type distribution alone but appears to be a direct consequence of changes in fatty acid metabolism due to the higher level of physical activity.
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| 3. |
- Kanerva, Pentti, et al.
(author)
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Computing with large random patterns
- 2001. - 1
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In: Foundations of Real-World Intelligence. - Stanford, California : CSLI Publications. ; , s. 251-311
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Book chapter (peer-reviewed)abstract
- We describe a style of computing that differs from traditional numeric and symbolic computing and is suited for modeling neural networks. We focus on one aspect of ``neurocomputing,'' namely, computing with large random patterns, or high-dimensional random vectors, and ask what kind of computing they perform and whether they can help us understand how the brain processes information and how the mind works. Rapidly developing hardware technology will soon be able to produce the massive circuits that this style of computing requires. This chapter develops a theory on which the computing could be based.
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| 4. |
- Seipel, Peter, et al.
(author)
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Spionchips kontrollerar dig
- 2004. - 7
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Other publication (pop. science, debate, etc.)abstract
- Peter Seipel, Kia Höök, Gunnar Sjödin, Markus Bylund, Olle Olsson, Helena Andersson, Anders R Olsson
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| 5. |
- Söderström, Henrik, 1966, et al.
(author)
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Adult psychopathic personality with childhood-onset hyperactivity and conduct disorder: a central problem constellation in forensic psychiatry.
- 2004
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In: Psychiatry research. - 0165-1781. ; 121:3, s. 271-80
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Journal article (peer-reviewed)abstract
- To describe lifetime mental disorders among perpetrators of severe inter-personal crimes and to identify the problem domains most closely associated with aggression and a history of repeated violent criminality, we used structured interviews, clinical assessments, analyses of intellectual functioning, medical and social files, and collateral interviews in 100 consecutive subjects of pretrial forensic psychiatric investigations. Childhood-onset neuropsychiatric disorders [attention-deficit/hyperactivity disorder (AD/HD), learning disability, tics and autism spectrum disorders] affected 55% of the subjects and formed complex comorbidity patterns with adult personality disorders [including psychopathic traits according to the Psychopathy Checklist (PCL-R)], mood disorders and substance abuse. The closest psychiatric covariates to high Lifetime History of Aggression (LHA) scores and violent recidivism were the PCL-R scores and childhood conduct disorder (CD). Behavioral and affective PCL-R factors were closely associated with childhood AD/HD, CD, and autistic traits. The results support the notion that childhood-onset social and behavioral problems form the most relevant psychiatric symptom cluster in relation to pervasive adult violent behavior, while late-onset mental disorders are more often associated with single acts of violent or sexual aggression.
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