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1 f what the variation in the human genome can teach us.
2      These 'past masters' still have much to teach us.
3 t an animal with a macula would be unable to teach us.
4 that have occurred and the lessons they have taught us.
5 sed on the design principles these molecules teach us?
6                   Studies in Drosophila have taught us a great deal about how animals regulate the im
7                           These studies have taught us a great deal about the functions of oncogenes
8                     Psychiatric genetics has taught us a great deal about the nature of psychiatric d
9     Improved understanding of immunology has taught us a great deal about the underlying mechanisms i
10  critical for eliciting these effects should teach us a great deal about the neural underpinnings of
11                                Hayashi et al teach us a sequential approach to question the possibili
12 omics and discuss what the new findings have taught us about cancer biology and, more importantly, ho
13 n developed most recently and what they have taught us about colon cancer formation, progression, and
14 tant to discuss what the old techniques have taught us about how to derive function from the form of
15 n syndrome (DRS), and discuss what they have taught us about mechanisms of axon guidance and selectiv
16 s review discusses what these mutations have taught us about normal and pathophysiologic Notch1 signa
17 he differences described in this review have taught us about the aspects of RNA and proteins that are
18       Lessons from many model organisms have taught us about the complications of maintaining these s
19 rvational and experimental methodologies has taught us about the cultural lives of chimpanzees, goril
20 e, musicians are in an excellent position to teach us about better ways to become and remain expert p
21         Clearly, adenovirus has much left to teach us about fundamental cellular processes.
22 genera vary in longevity, and what does this teach us about human aging?
23 velopment and what studies in Drosophila can teach us about mammalian germ cells.
24 r, how they are different, and what they can teach us about PLT formation.
25                      Moreover, iPS cells can teach us about principles of normal development and dise
26 the lessons that these mutants have begun to teach us about the complex and long-term nature of this
27  for lower ice-age , if correct, has much to teach us about the controls on current ocean processes.
28 ere, we discuss these findings and what they teach us about the dynamic AIS.
29 physiology, and the broader lessons this can teach us about the mechanisms underlying the development
30      It is clear that coloration has much to teach us about the molecular basis of organismal diversi
31            What can these "evoked behaviors" teach us about the neural processes that determine behav
32  reasons for these differences and what they teach us about which immune responses contribute to immu
33 ield of the "science of science" and what it teaches us about the predictability of scientific discov
34      Research on how people learn shows that teaching using active learning is more effective than ju
35                                  Viruses can teach us efficient mechanisms to control the immune syst
36    However, these rare disorders have so far taught us few lessons about prevention or reversal of ob
37 chanistic dissection; the mouse has not only taught us how they fundamentally work, but also how thei
38 the fact that computational neuroscience can teach us how complex behaviour can emerge from the inter
39 vironments are masters of adaptation and can teach us how to deal with hypoxia, an issue of great cli
40 eir functional roles across tumor types will teach us how to extend therapies effective in one cancer
41 lopment in rare phenocopy syndromes may also teach us how to test treatments based upon emerging comm
42 udying these systems and their properties is teaching us how to control supramolecular chemistry in w
43 d adaptive immune responses will continue to teach us important lessons about the complexity of the g
44 , we look at what the current literature can teach us in respect to cell interactions with these nano
45 We summarize what this new genetic landscape teaches us in terms of the pathogenesis of these disease
46  of cancers, and the clinical experience has taught us many lessons about the concept and application
47 t, and studying the defective protein should teach us more about the mechanisms underlying cataract f
48 gene in patients with dystrophinopathies has taught us much about functionally important domains of t
49 ine for leishmaniasis, an infection that has taught us much about T-cell regulation of protection and
50                           DNA sequencing has taught us much about the structure of cancer genomes and
51 ted drugs in select subtypes of lymphoma can teach us much about the biology of different lymphomas.
52 leptogenic zone argues that their study will teach us much about the pathophysiology of epileptogenes
53                             Has neuroimaging taught us something new about the neural bases of cognit
54                                    Textbooks taught us that allostery is a change of shape at one sit
55                                  History has taught us that athletes are subjected to unmonitored tri
56  many laboratory and clinical colleagues and taught us that cytokines are important rate-limiting ste
57                     This experience has also taught us that resistance to such rationally developed t
58             However, theoretical models have taught us that value computations are complex, and so re
59 s Bayes developed his eponymous theorem that teaches us that pretest probabilities can be altered by
60 gy of different subsets of lymphoma, and are teaching us that the lymphomas are truly a heterogeneous
61 reverse genetic studies in murine lupus have taught us the following lessons: (1) Lupus is extremely
62 e past decades, supramolecular chemistry has taught us the rules to precisely engineer molecular asse
63 aboration-centric life sciences domains have taught us, the core challenge of networking genomics sys
64 behavioral change during development and has taught us valuable information regarding sensitive perio
65 f simplicity, may still have a few things to teach us with respect to these facets of nonrandom genom

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