FORUM: Indirect leakage leads to a failure of avoided loss biodiversity offsetting.
Ontology highlight
ABSTRACT:
SUBMITTER: Moilanen A
PROVIDER: S-EPMC4737393 | biostudies-other | 2016 Feb
REPOSITORIES: biostudies-other
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Project description:The field of biodiversity informatics is in a massive, "grow-out" phase of creating and enabling large-scale biodiversity data resources. Because perhaps 90% of existing biodiversity data nonetheless remains unavailable for science and policy applications, the question arises as to how these existing and available data records can be mobilized most efficiently and effectively. This situation led to our analysis of several large-scale biodiversity datasets regarding birds and plants, detecting information gaps and documenting data "leakage" or attrition, in terms of data on taxon, time, and place, in each data record. We documented significant data leakage in each data dimension in each dataset. That is, significant numbers of data records are lacking crucial information in terms of taxon, time, and/or place; information on place was consistently the least complete, such that geographic referencing presently represents the most significant factor in degradation of usability of information from biodiversity information resources. Although the full process of digital capture, quality control, and enrichment is important to developing a complete digital record of existing biodiversity information, payoffs in terms of immediate data usability will be greatest with attention paid to the georeferencing challenge.
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Project description:BackgroundMachine learning (ML) approaches are a crucial component of modern data analysis in many fields, including epidemiology and medicine. Nonlinear ML methods often achieve accurate predictions, for instance, in personalized medicine, as they are capable of modeling complex relationships between features and the target. Problematically, ML models and their predictions can be biased by confounding information present in the features. To remove this spurious signal, researchers often employ featurewise linear confound regression (CR). While this is considered a standard approach for dealing with confounding, possible pitfalls of using CR in ML pipelines are not fully understood.ResultsWe provide new evidence that, contrary to general expectations, linear confound regression can increase the risk of confounding when combined with nonlinear ML approaches. Using a simple framework that uses the target as a confound, we show that information leaked via CR can increase null or moderate effects to near-perfect prediction. By shuffling the features, we provide evidence that this increase is indeed due to confound-leakage and not due to revealing of information. We then demonstrate the danger of confound-leakage in a real-world clinical application where the accuracy of predicting attention-deficit/hyperactivity disorder is overestimated using speech-derived features when using depression as a confound.ConclusionsMishandling or even amplifying confounding effects when building ML models due to confound-leakage, as shown, can lead to untrustworthy, biased, and unfair predictions. Our expose of the confound-leakage pitfall and provided guidelines for dealing with it can help create more robust and trustworthy ML models.
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Project description:Pericytes are positioned between brain capillary endothelial cells, astrocytes and neurons. They degenerate in multiple neurological disorders. However, their role in the pathogenesis of these disorders remains debatable. Here we generate an inducible pericyte-specific Cre line and cross pericyte-specific Cre mice with iDTR mice carrying Cre-dependent human diphtheria toxin receptor. After pericyte ablation with diphtheria toxin, mice showed acute blood-brain barrier breakdown, severe loss of blood flow, and a rapid neuron loss that was associated with loss of pericyte-derived pleiotrophin (PTN), a neurotrophic growth factor. Intracerebroventricular PTN infusions prevented neuron loss in pericyte-ablated mice despite persistent circulatory changes. Silencing of pericyte-derived Ptn rendered neurons vulnerable to ischemic and excitotoxic injury. Our data demonstrate a rapid neurodegeneration cascade that links pericyte loss to acute circulatory collapse and loss of PTN neurotrophic support. These findings may have implications for the pathogenesis and treatment of neurological disorders that are associated with pericyte loss and/or neurovascular dysfunction.
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Project description:BACKGROUND:The striated muscle costamere, a multiprotein complex at the boundary between the sarcomere and the sarcolemma, plays an integral role in maintaining striated muscle structure and function. Multiple costamere-associated proteins, such as integrins and integrin-interacting proteins, have been identified and shown to play an increasingly important role in the pathogenesis of human cardiomyopathy. Kindlin-2 is an adaptor protein that binds to the integrin ? cytoplasmic tail to promote integrin activation. Genetic deficiency of Kindlin-2 results in embryonic lethality, and knockdown of the Kindlin-2 homolog in Caenorhabditis elegans and Danio rerio suggests that it has an essential role in integrin function and normal muscle structure and function. The precise role of Kindlin-2 in the mammalian cardiac myocyte remains to be determined. METHODS AND RESULTS:The current studies were designed to investigate the role of Kindlin-2 in the mammalian heart. We generated a series of cardiac myocyte-specific Kindlin-2 knockout mice with excision of the Kindlin-2 gene in either developing or adult cardiac myocytes. We found that mice lacking Kindlin-2 in the early developing heart are embryonic lethal. We demonstrate that deletion of Kindlin-2 at late gestation or in adult cardiac myocytes resulted in heart failure and premature death, which were associated with enlargement of the heart and extensive fibrosis. In addition, integrin ?1D protein expression was significantly downregulated in the adult heart. CONCLUSIONS:Kindlin-2 is required to maintain integrin ?1D protein stability. Postnatal loss of Kindlin-2 from cardiac myocytes leads to progressive heart failure, showing the importance of costameric proteins like Kindlin-2 for homeostasis of normal heart function.
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Project description:Aneuploidy caused by abnormal chromosome segregation during early embryo development leads to embryonic death or congenital malformation. Centromere protein F (CENPF) is a member of centromere protein family that regulates chromosome segregation during mitosis. However, its necessity in early embryo development has not been fully investigated. In this study, expression and function of CENPF was investigated in mouse early embryogenesis. Detection of CENPF expression and localization revealed a cytoplasm, spindle and nuclear membrane related dynamic pattern throughout mitotic progression. Farnesyltransferase inhibitor (FTI) was employed to inhibit CENPF farnesylation in zygotes. The results showed that CENPF degradation was inhibited and its specific localization on nuclear membranes in morula and blastocyst vanished after FTI treatment. Also, CAAX motif mutation leads to failure of CENPF-C630 localization in morula and blastocyst. These results indicate that farnesylation plays a key role during CENPF degradation and localization in early embryos. To further assess CENPF function in parthenogenetic or fertilized embryos development, morpholino (MO) and Trim-Away were used to disturb CENPF function. CENPF knockdown in Metaphase II (MII) oocytes, zygotes or embryos with MO approach resulted in failure to develop into morulae and blastocysts, revealing its indispensable role in both parthenogenetic and fertilized embryos. Disturbing of CENPF with Trim-Away approach in zygotes resulted in impaired development of 2-cell and 4-cell, but did not affect the morula and blastocyst formation because of the recovered expression of CENPF. Taken together, our data suggest CENPF plays an important role during early embryonic development in mice. Abbreviation: CENPF: centromere protein F; MO: morpholino; FTI: Farnesyltransferase inhibitor; CENPE: centromere protein E; IVF: in vitro fertilization; MII: metaphase II; SAC: spindle assembly checkpoint; Mad1: mitotic arrest deficient 1; BUB1: budding uninhibited by benzimidazole 1; BUBR1: BUB1 mitotic checkpoint serine/threonine kinase B; Cdc20: cell division cycle 20.
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Project description:RATIONALE: Heart failure is a deadly and devastating disease that places immense costs on an aging society. To develop therapies aimed at rescuing the failing heart, it is important to understand the molecular mechanisms underlying cardiomyocyte structure and function. OBJECTIVE: microRNAs are important regulators of gene expression, and we sought to define the global contributions made by microRNAs toward maintaining cardiomyocyte integrity. METHODS AND RESULTS: First, we performed deep sequencing analysis to catalog the miRNA population in the adult heart. Second, we genetically deleted, in cardiac myocytes, an essential component of the machinery that is required to generate miRNAs. Deep sequencing of miRNAs from the heart revealed the enrichment of a small number of microRNAs with one, miR-1, accounting for 40% of all microRNAs. Cardiomyocyte-specific deletion of dgcr8, a gene required for microRNA biogenesis, revealed a fully penetrant phenotype that begins with left ventricular malfunction progressing to a dilated cardiomyopathy and premature lethality. CONCLUSIONS: These observations reveal a critical role for microRNAs in maintaining cardiac function in mature cardiomyocytes and raise the possibility that only a handful of microRNAs may ultimately be responsible for the dramatic cardiac phenotype seen in the absence of dgcr8. We report the miRNA composition of 6-8 week old murine heart. We performed deep sequencing analysis to catalog the miRNA population in the adult heart. 2 sample were sequenced.
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